- published: 03 Jan 2013
- views: 21828
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Science and Engineering Practice 2:
Developing and Using Models
Paul Andersen explains the importance of modeling in science and engineering. Models are used by scientists to explain phenomenon. Unlike mental models, conceptual models can be shared by all scientists to improve our understanding of the Universe. Engineers use models study systems and test designs.
Intro Music Atribution
Title: I4dsong_loop_main.wav
Artist: CosmicD
Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/
Creative Commons Atribution License
http://youtube.com/riskbites
What is a scientific model and what is it good for? As a prelude to talking about dose-response models in a couple of weeks, this week's Risk Bites is a primer on models -- what they are, and why they are useful.
See Part 2 on the dangers of misusing or misunderstanding models here: http://youtu.be/yur7JLDD6pU
This week's Risk Bites team:
David Faulkner (post-production)
Andrew Maynard (all the other stuff)
Risk Bites is supported by:
University of Michigan School of Public Health. http://www.sph.umich.edu/
University of Michigan Risk Science Center. http://umriskcenter.org
Help us caption & translate this video!
http://amara.org/v/FFH2/
- published: 30 Apr 2013
- views: 8267
This lesson will teach you Predictive analytics and Predictive Modelling Techniques.
After completing this lesson you will be able to:
1. Understand regression analysis and types of regression models
2. Know and Build a simple linear regression model
3. Understand and develop a logical regression
4. Learn cluster analysis, types and methods to form clusters
5. Know more series and its components
6. Decompose seasonal time series
7. Understand different exponential smoothing methods
8. Know the advantages and disadvantages of exponential smoothing
9. Understand the concepts of white noise and correlogram
10. Apply different time series analysis like Box Jenkins, AR, MA, ARMA etc
11. Understand all the analysis techniques with case studies
Regression Analysis:
• Regression analysis mainly focuses on finding a relationship between a dependent variable and one or more independent variables.
• It predicts the value of a dependent variable based on one or more independent variables
• Coefficient explains the impact of changes in an independent variable on the dependent variable.
• Widely used in prediction and forecasting
Simple linear regression:
• It’s a common technique to determine how one variable of interest is affected by another
• It is used for three main purpose: For describing the linear dependence of one variable on the other, for prediction of value of other variable from the one which has more data, correction of linear dependence of one variable on the other
• A line is fitted through the group of plotted data
• The distance of the plotted points from the line gives the residual value
• The residual value is a discrepancy between the actual and the predicted value
• The procedure to find the best fit is called the least-squares method
Watch full video for more information
For more updates on courses and tips follow us on:
- Facebook : https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
- published: 14 Sep 2015
- views: 104441
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulation. Students learn how to formulate mathematical and computational models that can be used to answer scientific and social questions. Duke graduate Elliott Wolf of Lineage Logistics talks about his involvement with the team.
- published: 14 Oct 2015
- views: 173
A non-analytical business introduction to predictive modeling. http://www.bostondecision.com.
- published: 13 Jul 2010
- views: 19182
Introduction to normalization and database design.
By the end of the presentation I give a short demo of how to create an ER Model in MySQL Workbench.
- published: 18 Mar 2013
- views: 94921
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jointly organized by the Mathematics and Mathematics Education (MME) academic group of the NIE, Singapore, and the Association of Mathematics Educators (AME) in 2008.
- published: 30 Dec 2011
- views: 23345
Scientific modelling
Scientific modelling is a scientific activity, the aim of which is to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate by referencing it to existing and usually commonly accepted knowledge. It requires selecting and identifying relevant aspects of a situation in the real world and then using different types of models for different aims, such as conceptual models to better understand, operational models to operationalize, mathematical models to quantify, and graphical models to visualize the subject. Modelling is an essential and inseparable part of scientific activity, and many scientific disciplines have their own ideas about specific types of modelling.
There is also an increasing attention to scientific modelling in fields such as science education, philosophy of science, systems theory, and knowledge visualization. There is growing collection of methods, techniques and meta-theory about all kinds of specialized scientific modelling.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Scientific_modelling
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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8:22Practice 2 - Developing and Using Models
Practice 2 - Developing and Using ModelsPractice 2 - Developing and Using Models
Science and Engineering Practice 2: Developing and Using Models Paul Andersen explains the importance of modeling in science and engineering. Models are used by scientists to explain phenomenon. Unlike mental models, conceptual models can be shared by all scientists to improve our understanding of the Universe. Engineers use models study systems and test designs. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License -
3:16The Naked Truth about (scientific) models - Part 1
The Naked Truth about (scientific) models - Part 1The Naked Truth about (scientific) models - Part 1
http://youtube.com/riskbites What is a scientific model and what is it good for? As a prelude to talking about dose-response models in a couple of weeks, this week's Risk Bites is a primer on models -- what they are, and why they are useful. See Part 2 on the dangers of misusing or misunderstanding models here: http://youtu.be/yur7JLDD6pU This week's Risk Bites team: David Faulkner (post-production) Andrew Maynard (all the other stuff) Risk Bites is supported by: University of Michigan School of Public Health. http://www.sph.umich.edu/ University of Michigan Risk Science Center. http://umriskcenter.org Help us caption & translate this video! http://amara.org/v/FFH2/ -
190:36Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
Predictive Analytics | Predictive Modelling Using R | Data Scientist TutorialsPredictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
This lesson will teach you Predictive analytics and Predictive Modelling Techniques. After completing this lesson you will be able to: 1. Understand regression analysis and types of regression models 2. Know and Build a simple linear regression model 3. Understand and develop a logical regression 4. Learn cluster analysis, types and methods to form clusters 5. Know more series and its components 6. Decompose seasonal time series 7. Understand different exponential smoothing methods 8. Know the advantages and disadvantages of exponential smoothing 9. Understand the concepts of white noise and correlogram 10. Apply different time series analysis like Box Jenkins, AR, MA, ARMA etc 11. Understand all the analysis techniques with case studies Regression Analysis: • Regression analysis mainly focuses on finding a relationship between a dependent variable and one or more independent variables. • It predicts the value of a dependent variable based on one or more independent variables • Coefficient explains the impact of changes in an independent variable on the dependent variable. • Widely used in prediction and forecasting Simple linear regression: • It’s a common technique to determine how one variable of interest is affected by another • It is used for three main purpose: For describing the linear dependence of one variable on the other, for prediction of value of other variable from the one which has more data, correction of linear dependence of one variable on the other • A line is fitted through the group of plotted data • The distance of the plotted points from the line gives the residual value • The residual value is a discrepancy between the actual and the predicted value • The procedure to find the best fit is called the least-squares method Watch full video for more information For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0 -
3:12UNIT 1 Introduction to Computational Cognitive Modeling
UNIT 1 Introduction to Computational Cognitive ModelingUNIT 1 Introduction to Computational Cognitive Modeling
Introduction -
7:39Modeling and Simulation to Answer Scientific and Social Questions
Modeling and Simulation to Answer Scientific and Social QuestionsModeling and Simulation to Answer Scientific and Social Questions
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulation. Students learn how to formulate mathematical and computational models that can be used to answer scientific and social questions. Duke graduate Elliott Wolf of Lineage Logistics talks about his involvement with the team. -
19:05Modeling and Simulation Lecture 01
Modeling and Simulation Lecture 01Modeling and Simulation Lecture 01
-
9:03Why Predictive Model: in 9 Minutes
Why Predictive Model: in 9 MinutesWhy Predictive Model: in 9 Minutes
A non-analytical business introduction to predictive modeling. http://www.bostondecision.com. -
55:22Data modelling - an introduction
Data modelling - an introductionData modelling - an introduction
Introduction to normalization and database design. By the end of the presentation I give a short demo of how to create an ER Model in MySQL Workbench. -
10:01Problem Solving and Mathematical Modelling (Part 1)
Problem Solving and Mathematical Modelling (Part 1)Problem Solving and Mathematical Modelling (Part 1)
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jointly organized by the Mathematics and Mathematics Education (MME) academic group of the NIE, Singapore, and the Association of Mathematics Educators (AME) in 2008. -
12:36Mathematical Modelling of Physiological Systems - Thomas Heldt
Mathematical Modelling of Physiological Systems - Thomas Heldt
-
Practice 2 - Developing and Using Models
Science and Engineering Practice 2: Developing and Using Models Paul Andersen explains the importance of modeling in science and engineering. Models are used by scientists to explain phenomenon. Unlike mental models, conceptual models can be shared by all scientists to improve our understanding of the Universe. Engineers use models study systems and test designs. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License
published: 03 Jan 2013 -
The Naked Truth about (scientific) models - Part 1
http://youtube.com/riskbites What is a scientific model and what is it good for? As a prelude to talking about dose-response models in a couple of weeks, this week's Risk Bites is a primer on models -- what they are, and why they are useful. See Part 2 on the dangers of misusing or misunderstanding models here: http://youtu.be/yur7JLDD6pU This week's Risk Bites team: David Faulkner (post-production) Andrew Maynard (all the other stuff) Risk Bites is supported by: University of Michigan School of Public Health. http://www.sph.umich.edu/ University of Michigan Risk Science Center. http://umriskcenter.org Help us caption & translate this video! http://amara.org/v/FFH2/
published: 30 Apr 2013 -
Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
This lesson will teach you Predictive analytics and Predictive Modelling Techniques. After completing this lesson you will be able to: 1. Understand regression analysis and types of regression models 2. Know and Build a simple linear regression model 3. Understand and develop a logical regression 4. Learn cluster analysis, types and methods to form clusters 5. Know more series and its components 6. Decompose seasonal time series 7. Understand different exponential smoothing methods 8. Know the advantages and disadvantages of exponential smoothing 9. Understand the concepts of white noise and correlogram 10. Apply different time series analysis like Box Jenkins, AR, MA, ARMA etc 11. Understand all the analysis techniques with case studies Regression Analysis: • Regression analysis mainly ...
published: 14 Sep 2015 -
-
Modeling and Simulation to Answer Scientific and Social Questions
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulation. Students learn how to formulate mathematical and computational models that can be used to answer scientific and social questions. Duke graduate Elliott Wolf of Lineage Logistics talks about his involvement with the team.
published: 14 Oct 2015 -
Modeling and Simulation Lecture 01
published: 24 Jan 2014 -
Why Predictive Model: in 9 Minutes
A non-analytical business introduction to predictive modeling. http://www.bostondecision.com.
published: 13 Jul 2010 -
Data modelling - an introduction
Introduction to normalization and database design. By the end of the presentation I give a short demo of how to create an ER Model in MySQL Workbench.
published: 18 Mar 2013 -
Problem Solving and Mathematical Modelling (Part 1)
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jointly organized by the Mathematics and Mathematics Education (MME) academic group of the NIE, Singapore, and the Association of Mathematics Educators (AME) in 2008.
published: 30 Dec 2011 -
Practice 2 - Developing and Using Models
- Order: Reorder
- Duration: 8:22
- Updated: 03 Jan 2013
- views: 21828
Science and Engineering Practice 2:
Developing and Using Models
Paul Andersen explains the importance of modeling in science and engineering. Models are used...
Science and Engineering Practice 2:
Developing and Using Models
Paul Andersen explains the importance of modeling in science and engineering. Models are used by scientists to explain phenomenon. Unlike mental models, conceptual models can be shared by all scientists to improve our understanding of the Universe. Engineers use models study systems and test designs.
Intro Music Atribution
Title: I4dsong_loop_main.wav
Artist: CosmicD
Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/
Creative Commons Atribution License
wn.com/Practice 2 Developing And Using Models
Science and Engineering Practice 2:
Developing and Using Models
Paul Andersen explains the importance of modeling in science and engineering. Models are used by scientists to explain phenomenon. Unlike mental models, conceptual models can be shared by all scientists to improve our understanding of the Universe. Engineers use models study systems and test designs.
Intro Music Atribution
Title: I4dsong_loop_main.wav
Artist: CosmicD
Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/
Creative Commons Atribution License
- published: 03 Jan 2013
- views: 21828
The Naked Truth about (scientific) models - Part 1
- Order: Reorder
- Duration: 3:16
- Updated: 30 Apr 2013
- views: 8267
http://youtube.com/riskbites
What is a scientific model and what is it good for? As a prelude to talking about dose-response models in a couple of weeks, this...
http://youtube.com/riskbites
What is a scientific model and what is it good for? As a prelude to talking about dose-response models in a couple of weeks, this week's Risk Bites is a primer on models -- what they are, and why they are useful.
See Part 2 on the dangers of misusing or misunderstanding models here: http://youtu.be/yur7JLDD6pU
This week's Risk Bites team:
David Faulkner (post-production)
Andrew Maynard (all the other stuff)
Risk Bites is supported by:
University of Michigan School of Public Health. http://www.sph.umich.edu/
University of Michigan Risk Science Center. http://umriskcenter.org
Help us caption & translate this video!
http://amara.org/v/FFH2/
wn.com/The Naked Truth About (Scientific) Models Part 1
http://youtube.com/riskbites
What is a scientific model and what is it good for? As a prelude to talking about dose-response models in a couple of weeks, this week's Risk Bites is a primer on models -- what they are, and why they are useful.
See Part 2 on the dangers of misusing or misunderstanding models here: http://youtu.be/yur7JLDD6pU
This week's Risk Bites team:
David Faulkner (post-production)
Andrew Maynard (all the other stuff)
Risk Bites is supported by:
University of Michigan School of Public Health. http://www.sph.umich.edu/
University of Michigan Risk Science Center. http://umriskcenter.org
Help us caption & translate this video!
http://amara.org/v/FFH2/
- published: 30 Apr 2013
- views: 8267
Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
- Order: Reorder
- Duration: 190:36
- Updated: 14 Sep 2015
- views: 104441
This lesson will teach you Predictive analytics and Predictive Modelling Techniques.
After completing this lesson you will be able to:
1. Understand regression...
This lesson will teach you Predictive analytics and Predictive Modelling Techniques.
After completing this lesson you will be able to:
1. Understand regression analysis and types of regression models
2. Know and Build a simple linear regression model
3. Understand and develop a logical regression
4. Learn cluster analysis, types and methods to form clusters
5. Know more series and its components
6. Decompose seasonal time series
7. Understand different exponential smoothing methods
8. Know the advantages and disadvantages of exponential smoothing
9. Understand the concepts of white noise and correlogram
10. Apply different time series analysis like Box Jenkins, AR, MA, ARMA etc
11. Understand all the analysis techniques with case studies
Regression Analysis:
• Regression analysis mainly focuses on finding a relationship between a dependent variable and one or more independent variables.
• It predicts the value of a dependent variable based on one or more independent variables
• Coefficient explains the impact of changes in an independent variable on the dependent variable.
• Widely used in prediction and forecasting
Simple linear regression:
• It’s a common technique to determine how one variable of interest is affected by another
• It is used for three main purpose: For describing the linear dependence of one variable on the other, for prediction of value of other variable from the one which has more data, correction of linear dependence of one variable on the other
• A line is fitted through the group of plotted data
• The distance of the plotted points from the line gives the residual value
• The residual value is a discrepancy between the actual and the predicted value
• The procedure to find the best fit is called the least-squares method
Watch full video for more information
For more updates on courses and tips follow us on:
- Facebook : https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
wn.com/Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
This lesson will teach you Predictive analytics and Predictive Modelling Techniques.
After completing this lesson you will be able to:
1. Understand regression analysis and types of regression models
2. Know and Build a simple linear regression model
3. Understand and develop a logical regression
4. Learn cluster analysis, types and methods to form clusters
5. Know more series and its components
6. Decompose seasonal time series
7. Understand different exponential smoothing methods
8. Know the advantages and disadvantages of exponential smoothing
9. Understand the concepts of white noise and correlogram
10. Apply different time series analysis like Box Jenkins, AR, MA, ARMA etc
11. Understand all the analysis techniques with case studies
Regression Analysis:
• Regression analysis mainly focuses on finding a relationship between a dependent variable and one or more independent variables.
• It predicts the value of a dependent variable based on one or more independent variables
• Coefficient explains the impact of changes in an independent variable on the dependent variable.
• Widely used in prediction and forecasting
Simple linear regression:
• It’s a common technique to determine how one variable of interest is affected by another
• It is used for three main purpose: For describing the linear dependence of one variable on the other, for prediction of value of other variable from the one which has more data, correction of linear dependence of one variable on the other
• A line is fitted through the group of plotted data
• The distance of the plotted points from the line gives the residual value
• The residual value is a discrepancy between the actual and the predicted value
• The procedure to find the best fit is called the least-squares method
Watch full video for more information
For more updates on courses and tips follow us on:
- Facebook : https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
- published: 14 Sep 2015
- views: 104441
UNIT 1 Introduction to Computational Cognitive Modeling
- Order: Reorder
- Duration: 3:12
- Updated: 17 Apr 2015
- views: 304
Modeling and Simulation to Answer Scientific and Social Questions
- Order: Reorder
- Duration: 7:39
- Updated: 14 Oct 2015
- views: 173
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulation. Students learn how to formulate mathematical and computational mod...
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulation. Students learn how to formulate mathematical and computational models that can be used to answer scientific and social questions. Duke graduate Elliott Wolf of Lineage Logistics talks about his involvement with the team.
wn.com/Modeling And Simulation To Answer Scientific And Social Questions
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulation. Students learn how to formulate mathematical and computational models that can be used to answer scientific and social questions. Duke graduate Elliott Wolf of Lineage Logistics talks about his involvement with the team.
- published: 14 Oct 2015
- views: 173
Modeling and Simulation Lecture 01
- Order: Reorder
- Duration: 19:05
- Updated: 24 Jan 2014
- views: 22261
- published: 24 Jan 2014
- views: 22261
Why Predictive Model: in 9 Minutes
- Order: Reorder
- Duration: 9:03
- Updated: 13 Jul 2010
- views: 19182
A non-analytical business introduction to predictive modeling. http://www.bostondecision.com.
A non-analytical business introduction to predictive modeling. http://www.bostondecision.com.
wn.com/Why Predictive Model In 9 Minutes
A non-analytical business introduction to predictive modeling. http://www.bostondecision.com.
- published: 13 Jul 2010
- views: 19182
Data modelling - an introduction
- Order: Reorder
- Duration: 55:22
- Updated: 18 Mar 2013
- views: 94921
Introduction to normalization and database design.
By the end of the presentation I give a short demo of how to create an ER Model in MySQL Workbench.
Introduction to normalization and database design.
By the end of the presentation I give a short demo of how to create an ER Model in MySQL Workbench.
wn.com/Data Modelling An Introduction
Introduction to normalization and database design.
By the end of the presentation I give a short demo of how to create an ER Model in MySQL Workbench.
- published: 18 Mar 2013
- views: 94921
Problem Solving and Mathematical Modelling (Part 1)
- Order: Reorder
- Duration: 10:01
- Updated: 30 Dec 2011
- views: 23345
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jointly organized by the Mathematics and Mathematics Education (MME) aca...
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jointly organized by the Mathematics and Mathematics Education (MME) academic group of the NIE, Singapore, and the Association of Mathematics Educators (AME) in 2008.
wn.com/Problem Solving And Mathematical Modelling (Part 1)
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jointly organized by the Mathematics and Mathematics Education (MME) academic group of the NIE, Singapore, and the Association of Mathematics Educators (AME) in 2008.
- published: 30 Dec 2011
- views: 23345
Mathematical Modelling of Physiological Systems - Thomas Heldt
- Order: Reorder
- Duration: 12:36
- Updated: 07 May 2014
- views: 1463
Source - http://serious-science.org/videos/820
MIT Assistant Prof. Thomas Heldt on mathematical dimension of physiology, organ systems multiscale modelling, an...
Source - http://serious-science.org/videos/820
MIT Assistant Prof. Thomas Heldt on mathematical dimension of physiology, organ systems multiscale modelling, and its practical application
wn.com/Mathematical Modelling Of Physiological Systems Thomas Heldt
-
CHEM3006 - 10 - Understanding and modelling activities
published: 10 Oct 2016 -
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) http://airccse.org/journal/ijccms/index.html ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print]. Aims and Scope: The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, ...
published: 04 Oct 2016 -
2016-2017 Sciece Olympiad Protein Modeling Event - Sialic Acids
published: 27 Sep 2016 -
APPM1006 - Mathematical Modelling Lecture 2
This lecture covers some examples of mathematical modelling using ODEs
published: 21 Sep 2016 -
Modelling Methods Rokia Raslan intro
published: 12 Aug 2016 -
Pressure Relief System Modelling Flowmaster V7 Software
How Flowmaster V7 can help you analyse your pressure relief systems? Mentor Graphics mechanical analysis answers this question. Watch now to find out!
published: 05 Aug 2016 -
Flowmaster V7.8 Enhancements for Modelling Gas Systems including GIS Data Import
Mentor Graphics Mechanical Analysis Division looks at the enhancements of Flowmaster V.7 for gas systems, take a look!
published: 01 Aug 2016 -
Introduction to Agent-Based Modeling
Introduction video for the Complexity Explorer course, Introduction to Agent-based Modeling. Learn more at abm.complexityexplorer.org. Please note there is a typo in this video. The section beginning at minute 2:13 approximately, the correct name to be displayed is Forrest Stonedahl, not Stoendahl.
published: 19 Jul 2016 -
Mathematical Modelling of Control System by Prof Afaqahmed
Mathematical Modelling of Control System Importance of mathematical modelling Conversion of Mechanical Translatory system into Mathematical Model Mathematical Model of gear train
published: 16 Jul 2016 -
Methods of Mathematical Finance Stochastic Modelling and Applied Probability Pdf Book
published: 10 Jun 2016
CHEM3006 - 10 - Understanding and modelling activities
- Order: Reorder
- Duration: 18:30
- Updated: 10 Oct 2016
- views: 7
- published: 10 Oct 2016
- views: 7
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
- Order: Reorder
- Duration: 0:11
- Updated: 04 Oct 2016
- views: 1
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
http://airccse.org/journal/ijccms/i...
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
http://airccse.org/journal/ijccms/index.html
ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print].
Aims and Scope:
The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes
articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer
Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and
secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication,
Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of
Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from
academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling
concepts, computational methods, computer simulation and establishing new collaborations in these areas..
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying
works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques.
Areas and subareas of interest include (but are not limited to):
Adaptive control
Advanced chaos theory
Advanced computing techniques
Algorithms, modelling and simulation
Applications of chaos in science and engineering
Artificial intelligence
Artificial neural networks
Automation and mobile robots
Bioinformatics
Biological modelling
Biological systems and models
Chaotic systems
Chaos modelling
Circuit realization of chaotic systems
Control of chaotic systems
Cloud computing
Communication engineering
Computational biology
Computational fluid dynamics
Computer science
Control devices & instruments
Control theory
Data mining
Data Structures and Algorithms
Scientific computing
Secure communication devices
Stochastic modelling and control
Data visualization
Digital control
Digital image processing
Digital signal processing
Dynamical systems and stability theory
Embedded systems and control
Evolutionary techniques in engineering
Flight control and surveillance systems
Fuzzy logic control
Genetic algorithms and applications
Hyperchaotic systems
Industrial applications of control
Intelligent systems
Information theory
Linear and nonlinear programming
Linear control theory
Materials science
Mathematical control theory
Mathematical modelling and applications
Measurement systems
Modelling and control
Nonlinear control theory
Numerical methods in control systems
Optimization and optimal control
Parallel computing
Process control and automation
Real-time systems
Real and complex analysis
Robust control
Soft computing techniques
Paper Submission
Authors are invited to submit papers for this journal through E-mail: ijccmsjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
For other details please visit http://airccse.org/journal/ijccms/index.html
wn.com/International Journal Of Chaos, Control, Modelling And Simulation (Ijccms)
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
http://airccse.org/journal/ijccms/index.html
ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print].
Aims and Scope:
The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes
articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer
Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and
secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication,
Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of
Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from
academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling
concepts, computational methods, computer simulation and establishing new collaborations in these areas..
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying
works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques.
Areas and subareas of interest include (but are not limited to):
Adaptive control
Advanced chaos theory
Advanced computing techniques
Algorithms, modelling and simulation
Applications of chaos in science and engineering
Artificial intelligence
Artificial neural networks
Automation and mobile robots
Bioinformatics
Biological modelling
Biological systems and models
Chaotic systems
Chaos modelling
Circuit realization of chaotic systems
Control of chaotic systems
Cloud computing
Communication engineering
Computational biology
Computational fluid dynamics
Computer science
Control devices & instruments
Control theory
Data mining
Data Structures and Algorithms
Scientific computing
Secure communication devices
Stochastic modelling and control
Data visualization
Digital control
Digital image processing
Digital signal processing
Dynamical systems and stability theory
Embedded systems and control
Evolutionary techniques in engineering
Flight control and surveillance systems
Fuzzy logic control
Genetic algorithms and applications
Hyperchaotic systems
Industrial applications of control
Intelligent systems
Information theory
Linear and nonlinear programming
Linear control theory
Materials science
Mathematical control theory
Mathematical modelling and applications
Measurement systems
Modelling and control
Nonlinear control theory
Numerical methods in control systems
Optimization and optimal control
Parallel computing
Process control and automation
Real-time systems
Real and complex analysis
Robust control
Soft computing techniques
Paper Submission
Authors are invited to submit papers for this journal through E-mail: ijccmsjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
For other details please visit http://airccse.org/journal/ijccms/index.html
- published: 04 Oct 2016
- views: 1
2016-2017 Sciece Olympiad Protein Modeling Event - Sialic Acids
- Order: Reorder
- Duration: 4:16
- Updated: 27 Sep 2016
- views: 3
- published: 27 Sep 2016
- views: 3
APPM1006 - Mathematical Modelling Lecture 2
- Order: Reorder
- Duration: 71:37
- Updated: 21 Sep 2016
- views: 212
This lecture covers some examples of mathematical modelling using ODEs
This lecture covers some examples of mathematical modelling using ODEs
wn.com/Appm1006 Mathematical Modelling Lecture 2
This lecture covers some examples of mathematical modelling using ODEs
- published: 21 Sep 2016
- views: 212
Modelling Methods Rokia Raslan intro
- Order: Reorder
- Duration: 2:40
- Updated: 12 Aug 2016
- views: 9
- published: 12 Aug 2016
- views: 9
Pressure Relief System Modelling Flowmaster V7 Software
- Order: Reorder
- Duration: 4:26
- Updated: 05 Aug 2016
- views: 56
How Flowmaster V7 can help you analyse your pressure relief systems? Mentor Graphics mechanical analysis answers this question. Watch now to find out!
How Flowmaster V7 can help you analyse your pressure relief systems? Mentor Graphics mechanical analysis answers this question. Watch now to find out!
wn.com/Pressure Relief System Modelling Flowmaster V7 Software
How Flowmaster V7 can help you analyse your pressure relief systems? Mentor Graphics mechanical analysis answers this question. Watch now to find out!
- published: 05 Aug 2016
- views: 56
Flowmaster V7.8 Enhancements for Modelling Gas Systems including GIS Data Import
- Order: Reorder
- Duration: 7:22
- Updated: 01 Aug 2016
- views: 82
Mentor Graphics Mechanical Analysis Division looks at the enhancements of Flowmaster V.7 for gas systems, take a look!
Mentor Graphics Mechanical Analysis Division looks at the enhancements of Flowmaster V.7 for gas systems, take a look!
wn.com/Flowmaster V7.8 Enhancements For Modelling Gas Systems Including Gis Data Import
Mentor Graphics Mechanical Analysis Division looks at the enhancements of Flowmaster V.7 for gas systems, take a look!
- published: 01 Aug 2016
- views: 82
Introduction to Agent-Based Modeling
- Order: Reorder
- Duration: 4:21
- Updated: 19 Jul 2016
- views: 2135
Introduction video for the Complexity Explorer course, Introduction to Agent-based Modeling.
Learn more at abm.complexityexplorer.org.
Please note there is a ...
Introduction video for the Complexity Explorer course, Introduction to Agent-based Modeling.
Learn more at abm.complexityexplorer.org.
Please note there is a typo in this video. The section beginning at minute 2:13 approximately, the correct name to be displayed is Forrest Stonedahl, not Stoendahl.
wn.com/Introduction To Agent Based Modeling
Introduction video for the Complexity Explorer course, Introduction to Agent-based Modeling.
Learn more at abm.complexityexplorer.org.
Please note there is a typo in this video. The section beginning at minute 2:13 approximately, the correct name to be displayed is Forrest Stonedahl, not Stoendahl.
- published: 19 Jul 2016
- views: 2135
Mathematical Modelling of Control System by Prof Afaqahmed
- Order: Reorder
- Duration: 13:38
- Updated: 16 Jul 2016
- views: 342
Mathematical Modelling of Control System
Importance of mathematical modelling
Conversion of Mechanical Translatory system into Mathematical Model
Mathematical M...
Mathematical Modelling of Control System
Importance of mathematical modelling
Conversion of Mechanical Translatory system into Mathematical Model
Mathematical Model of gear train
wn.com/Mathematical Modelling Of Control System By Prof Afaqahmed
Mathematical Modelling of Control System
Importance of mathematical modelling
Conversion of Mechanical Translatory system into Mathematical Model
Mathematical Model of gear train
- published: 16 Jul 2016
- views: 342
Methods of Mathematical Finance Stochastic Modelling and Applied Probability Pdf Book
- Order: Reorder
- Duration: 0:19
- Updated: 10 Jun 2016
- views: 22
- published: 10 Jun 2016
- views: 22
-
Modeling Science: Dynamic Topic Models of Scholarly Research
Google Tech Talks May 24, 2007 ABSTRACT A surge of recent research in machine learning and statistics has developed new techniques for finding patterns of words in document collections using hierarchical probabilistic models. These models are called "topic models" because the word patterns often reflect the underlying topics that are combined to form the documents; however topic models also naturally apply to such data as images and biological sequences. While previous topic models have assumed that the corpus is static, many document collections actually change over time: scientific articles, emails, and search queries reflect evolving content, and it is important to model the corresponding evolution of the underlying topics. For example, an article about biology in 1885 will ex...
published: 22 Aug 2012 -
Agent based modelling of economic crises
From UK Chapter Annual Gathering 2011. Agent-based Modeling of the Economic Crisis. Paul Ormerod, Volterra Consulting. A discussion session was also held after this which is also available on this channel.
published: 22 Dec 2011 -
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Contd...1)
Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical Engineering,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
published: 06 Jul 2012 -
2, Mathematical Modelling
published: 01 Apr 2014 -
Statistical Modeling
This is a video describing the statistical modeling that arises in the parametric two-sample tests. It lays the foundation for more advanced modeling of the mean via ANOVA and regression.
published: 11 Sep 2013 -
Mathematical Modeling of Infectious Diseases Part 1 of 2 | SCIENCE CAFE
http://kcts9.org Dr. Ruanne Barnabas of the University of Washington explains how she uses mathematical models to gain insight into infectious disease epidemics, focusing on HIV co-infections. Airdate: Mar. 2, 2010
published: 19 Aug 2010 -
1. UML Data Modeling
Video from Standford Engineering - Course: Introduction to Databases http://www.db-class.org/course/auth/index
published: 01 Aug 2012
Modeling Science: Dynamic Topic Models of Scholarly Research
- Order: Reorder
- Duration: 69:04
- Updated: 22 Aug 2012
- views: 10702
Google Tech Talks
May 24, 2007
ABSTRACT
A surge of recent research in machine learning and statistics has developed new techniques for finding patterns o...
Google Tech Talks
May 24, 2007
ABSTRACT
A surge of recent research in machine learning and statistics has developed new techniques for finding patterns of words in document collections using hierarchical probabilistic models. These models are called "topic models" because the word patterns often reflect the underlying topics that are combined to form the documents; however topic models also naturally apply to such data as images and biological sequences.
While previous topic models have assumed that the corpus is static, many document collections actually change over time: scientific articles, emails, and search queries reflect evolving content, and it is important to model the corresponding evolution of the underlying topics. For example, an article about biology in 1885 will exhibit significantly different word frequencies than one in 2005. After reviewing the basics of topic models, I will describe probabilistic models designed to capture the dynamics of topics as they evolve over time.
In addition to giving quantitative, predictive models of a corpus, topic models provide a qualitative window into the structure of a large document collection. This perspective allows a user to explore a corpus in a topic-guided fashion. We demonstrate the capabilities of the dynamic topic model on the archives of the journal Science, founded in 1880 by Thomas Edison. Our models are built on the noisy text from JSTOR, an online scholarly journal archive, resulting from an optical character recognition engine run over the original bound journals.
(joint work with J. Lafferty)
Speaker: David Blei, Princeton University
g
Speaker: David Blei
wn.com/Modeling Science Dynamic Topic Models Of Scholarly Research
Google Tech Talks
May 24, 2007
ABSTRACT
A surge of recent research in machine learning and statistics has developed new techniques for finding patterns of words in document collections using hierarchical probabilistic models. These models are called "topic models" because the word patterns often reflect the underlying topics that are combined to form the documents; however topic models also naturally apply to such data as images and biological sequences.
While previous topic models have assumed that the corpus is static, many document collections actually change over time: scientific articles, emails, and search queries reflect evolving content, and it is important to model the corresponding evolution of the underlying topics. For example, an article about biology in 1885 will exhibit significantly different word frequencies than one in 2005. After reviewing the basics of topic models, I will describe probabilistic models designed to capture the dynamics of topics as they evolve over time.
In addition to giving quantitative, predictive models of a corpus, topic models provide a qualitative window into the structure of a large document collection. This perspective allows a user to explore a corpus in a topic-guided fashion. We demonstrate the capabilities of the dynamic topic model on the archives of the journal Science, founded in 1880 by Thomas Edison. Our models are built on the noisy text from JSTOR, an online scholarly journal archive, resulting from an optical character recognition engine run over the original bound journals.
(joint work with J. Lafferty)
Speaker: David Blei, Princeton University
g
Speaker: David Blei
- published: 22 Aug 2012
- views: 10702
Agent based modelling of economic crises
- Order: Reorder
- Duration: 71:42
- Updated: 22 Dec 2011
- views: 2676
From UK Chapter Annual Gathering 2011. Agent-based Modeling of the Economic Crisis. Paul Ormerod, Volterra Consulting. A discussion session was also held after...
From UK Chapter Annual Gathering 2011. Agent-based Modeling of the Economic Crisis. Paul Ormerod, Volterra Consulting. A discussion session was also held after this which is also available on this channel.
wn.com/Agent Based Modelling Of Economic Crises
From UK Chapter Annual Gathering 2011. Agent-based Modeling of the Economic Crisis. Paul Ormerod, Volterra Consulting. A discussion session was also held after this which is also available on this channel.
- published: 22 Dec 2011
- views: 2676
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Contd...1)
- Order: Reorder
- Duration: 55:14
- Updated: 06 Jul 2012
- views: 36650
Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical Engineering,IIT Kharagpur. For more details on NPTEL visit http://npte...
Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical Engineering,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
wn.com/Mod 01 Lec 03 Lecture 03 Mathematical Modeling (Contd...1)
Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical Engineering,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 06 Jul 2012
- views: 36650
2, Mathematical Modelling
- Order: Reorder
- Duration: 20:27
- Updated: 01 Apr 2014
- views: 793
- published: 01 Apr 2014
- views: 793
Statistical Modeling
- Order: Reorder
- Duration: 47:57
- Updated: 11 Sep 2013
- views: 3274
This is a video describing the statistical modeling that arises in the parametric two-sample tests. It lays the foundation for more advanced modeling of the mea...
This is a video describing the statistical modeling that arises in the parametric two-sample tests. It lays the foundation for more advanced modeling of the mean via ANOVA and regression.
wn.com/Statistical Modeling
This is a video describing the statistical modeling that arises in the parametric two-sample tests. It lays the foundation for more advanced modeling of the mean via ANOVA and regression.
- published: 11 Sep 2013
- views: 3274
Mathematical Modeling of Infectious Diseases Part 1 of 2 | SCIENCE CAFE
- Order: Reorder
- Duration: 22:55
- Updated: 19 Aug 2010
- views: 4163
http://kcts9.org
Dr. Ruanne Barnabas of the University of Washington explains how she uses mathematical models to gain insight into infectious disease epidemics...
http://kcts9.org
Dr. Ruanne Barnabas of the University of Washington explains how she uses mathematical models to gain insight into infectious disease epidemics, focusing on HIV co-infections.
Airdate: Mar. 2, 2010
wn.com/Mathematical Modeling Of Infectious Diseases Part 1 Of 2 | Science Cafe
http://kcts9.org
Dr. Ruanne Barnabas of the University of Washington explains how she uses mathematical models to gain insight into infectious disease epidemics, focusing on HIV co-infections.
Airdate: Mar. 2, 2010
- published: 19 Aug 2010
- views: 4163
1. UML Data Modeling
- Order: Reorder
- Duration: 25:16
- Updated: 01 Aug 2012
- views: 43638
Video from Standford Engineering - Course: Introduction to Databases http://www.db-class.org/course/auth/index
Video from Standford Engineering - Course: Introduction to Databases http://www.db-class.org/course/auth/index
wn.com/1. Uml Data Modeling
Video from Standford Engineering - Course: Introduction to Databases http://www.db-class.org/course/auth/index
- published: 01 Aug 2012
- views: 43638
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8:22
Practice 2 - Developing and Using Models
Science and Engineering Practice 2:
Developing and Using Models
Paul Andersen explains t...
published: 03 Jan 2013
Practice 2 - Developing and Using Models
Practice 2 - Developing and Using Models
- Report rights infringement
- published: 03 Jan 2013
- views: 21828
3:16
The Naked Truth about (scientific) models - Part 1
http://youtube.com/riskbites
What is a scientific model and what is it good for? As a pr...
published: 30 Apr 2013
The Naked Truth about (scientific) models - Part 1
The Naked Truth about (scientific) models - Part 1
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- published: 30 Apr 2013
- views: 8267
190:36
Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
This lesson will teach you Predictive analytics and Predictive Modelling Techniques.
Afte...
published: 14 Sep 2015
Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
Predictive Analytics | Predictive Modelling Using R | Data Scientist Tutorials
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- published: 14 Sep 2015
- views: 104441
3:12
UNIT 1 Introduction to Computational Cognitive Modeling
Introduction
published: 17 Apr 2015
UNIT 1 Introduction to Computational Cognitive Modeling
UNIT 1 Introduction to Computational Cognitive Modeling
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- published: 17 Apr 2015
- views: 304
7:39
Modeling and Simulation to Answer Scientific and Social Questions
Professor Anita Layton talks about the Bass Connections project team Modeling and Simulati...
published: 14 Oct 2015
Modeling and Simulation to Answer Scientific and Social Questions
Modeling and Simulation to Answer Scientific and Social Questions
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- published: 14 Oct 2015
- views: 173
19:05
Modeling and Simulation Lecture 01
published: 24 Jan 2014
Modeling and Simulation Lecture 01
Modeling and Simulation Lecture 01
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- published: 24 Jan 2014
- views: 22261
9:03
Why Predictive Model: in 9 Minutes
A non-analytical business introduction to predictive modeling. http://www.bostondecision....
published: 13 Jul 2010
Why Predictive Model: in 9 Minutes
Why Predictive Model: in 9 Minutes
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- published: 13 Jul 2010
- views: 19182
55:22
Data modelling - an introduction
Introduction to normalization and database design.
By the end of the presentation I give a...
published: 18 Mar 2013
Data modelling - an introduction
Data modelling - an introduction
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- published: 18 Mar 2013
- views: 94921
10:01
Problem Solving and Mathematical Modelling (Part 1)
Keynote lecture given by Dr Ang Keng Cheng at the Mathematics Teachers Conference (MTC) jo...
published: 30 Dec 2011
Problem Solving and Mathematical Modelling (Part 1)
Problem Solving and Mathematical Modelling (Part 1)
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- published: 30 Dec 2011
- views: 23345
12:36
Mathematical Modelling of Physiological Systems - Thomas Heldt
Source - http://serious-science.org/videos/820
MIT Assistant Prof. Thomas Heldt on mathem...
published: 07 May 2014
Mathematical Modelling of Physiological Systems - Thomas Heldt
Mathematical Modelling of Physiological Systems - Thomas Heldt
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- published: 07 May 2014
- views: 1463
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18:30
CHEM3006 - 10 - Understanding and modelling activities
published: 10 Oct 2016
CHEM3006 - 10 - Understanding and modelling activities
CHEM3006 - 10 - Understanding and modelling activities
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- published: 10 Oct 2016
- views: 7
0:11
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
...
published: 04 Oct 2016
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
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- published: 04 Oct 2016
- views: 1
4:16
2016-2017 Sciece Olympiad Protein Modeling Event - Sialic Acids
published: 27 Sep 2016
2016-2017 Sciece Olympiad Protein Modeling Event - Sialic Acids
2016-2017 Sciece Olympiad Protein Modeling Event - Sialic Acids
- Report rights infringement
- published: 27 Sep 2016
- views: 3
71:37
APPM1006 - Mathematical Modelling Lecture 2
This lecture covers some examples of mathematical modelling using ODEs
published: 21 Sep 2016
APPM1006 - Mathematical Modelling Lecture 2
APPM1006 - Mathematical Modelling Lecture 2
- Report rights infringement
- published: 21 Sep 2016
- views: 212
2:40
Modelling Methods Rokia Raslan intro
published: 12 Aug 2016
Modelling Methods Rokia Raslan intro
Modelling Methods Rokia Raslan intro
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- published: 12 Aug 2016
- views: 9
4:26
Pressure Relief System Modelling Flowmaster V7 Software
How Flowmaster V7 can help you analyse your pressure relief systems? Mentor Graphics mecha...
published: 05 Aug 2016
Pressure Relief System Modelling Flowmaster V7 Software
Pressure Relief System Modelling Flowmaster V7 Software
- Report rights infringement
- published: 05 Aug 2016
- views: 56
7:22
Flowmaster V7.8 Enhancements for Modelling Gas Systems including GIS Data Import
Mentor Graphics Mechanical Analysis Division looks at the enhancements of Flowmaster V.7 f...
published: 01 Aug 2016
Flowmaster V7.8 Enhancements for Modelling Gas Systems including GIS Data Import
Flowmaster V7.8 Enhancements for Modelling Gas Systems including GIS Data Import
- Report rights infringement
- published: 01 Aug 2016
- views: 82
4:21
Introduction to Agent-Based Modeling
Introduction video for the Complexity Explorer course, Introduction to Agent-based Modelin...
published: 19 Jul 2016
Introduction to Agent-Based Modeling
Introduction to Agent-Based Modeling
- Report rights infringement
- published: 19 Jul 2016
- views: 2135
13:38
Mathematical Modelling of Control System by Prof Afaqahmed
Mathematical Modelling of Control System
Importance of mathematical modelling
Conversion o...
published: 16 Jul 2016
Mathematical Modelling of Control System by Prof Afaqahmed
Mathematical Modelling of Control System by Prof Afaqahmed
- Report rights infringement
- published: 16 Jul 2016
- views: 342
0:19
Methods of Mathematical Finance Stochastic Modelling and Applied Probability Pdf Book
published: 10 Jun 2016
Methods of Mathematical Finance Stochastic Modelling and Applied Probability Pdf Book
Methods of Mathematical Finance Stochastic Modelling and Applied Probability Pdf Book
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- published: 10 Jun 2016
- views: 22
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69:04
Modeling Science: Dynamic Topic Models of Scholarly Research
Google Tech Talks
May 24, 2007
ABSTRACT
A surge of recent research in machine learn...
published: 22 Aug 2012
Modeling Science: Dynamic Topic Models of Scholarly Research
Modeling Science: Dynamic Topic Models of Scholarly Research
- Report rights infringement
- published: 22 Aug 2012
- views: 10702
71:42
Agent based modelling of economic crises
From UK Chapter Annual Gathering 2011. Agent-based Modeling of the Economic Crisis. Paul ...
published: 22 Dec 2011
Agent based modelling of economic crises
Agent based modelling of economic crises
- Report rights infringement
- published: 22 Dec 2011
- views: 2676
55:14
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Contd...1)
Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical ...
published: 06 Jul 2012
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Contd...1)
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Contd...1)
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- published: 06 Jul 2012
- views: 36650
20:27
2, Mathematical Modelling
published: 01 Apr 2014
2, Mathematical Modelling
2, Mathematical Modelling
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- published: 01 Apr 2014
- views: 793
47:57
Statistical Modeling
This is a video describing the statistical modeling that arises in the parametric two-samp...
published: 11 Sep 2013
Statistical Modeling
Statistical Modeling
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- published: 11 Sep 2013
- views: 3274
22:55
Mathematical Modeling of Infectious Diseases Part 1 of 2 | SCIENCE CAFE
http://kcts9.org
Dr. Ruanne Barnabas of the University of Washington explains how she uses...
published: 19 Aug 2010
Mathematical Modeling of Infectious Diseases Part 1 of 2 | SCIENCE CAFE
Mathematical Modeling of Infectious Diseases Part 1 of 2 | SCIENCE CAFE
- Report rights infringement
- published: 19 Aug 2010
- views: 4163
25:16
1. UML Data Modeling
Video from Standford Engineering - Course: Introduction to Databases http://www.db-class.o...
published: 01 Aug 2012
1. UML Data Modeling
1. UML Data Modeling
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- published: 01 Aug 2012
- views: 43638
Modeling Science: Dynamic Topic Models of Scholar...
Agent based modelling of economic crises...
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Co...
2, Mathematical Modelling...
Statistical Modeling...
Mathematical Modeling of Infectious Diseases Part ...
1. UML Data Modeling...
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Donald Trump's Next Debate Guest Will Be President Obama's Half-Brother
Edit WorldNews.com 19 Oct 2016
Malik Obama has been an outspoken critic of Hillary Clinton and has said that his support was with Donald Trump and he will be officially in the guest seat for the Trump campaign in the upcoming third and final presidential debate, according to ABC News. First reported by the New York Post, the campaign plans to use Obama's half-brother to attack the current administration. Trump announced, "Tomorrow night’s going to be interesting....
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Misunderstanding President Duterte’s “Sikolohiyang Pilipino” Is Dangerous
Edit WorldNews.com 18 Oct 2016
In addition to embracing a growing nationalistic fever and populism, he and others are in effect products of Sikolohirang Pilipino, or a need for Filipino beliefs, values and institutions. The Philippines, which actually derived its name from King Philip II of Spain, was ruled by Spain for three centuries. Then, from 1898 to 1946, the United States conquered the Pacific island nation ... for its arrogance....
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VIDEO: US Anticipates Use of Chemical Weapons and Human Shields By ISIL in Mosul
Edit WorldNews.com 19 Oct 2016
The United States said that they are expecting Islamic State to use crude chemical weapons to repel the Iraqi-led offensive to take back the city of Mosul on top of using the 1 million citizens as potential human shields, according to Reuters. Though the group has limited technical capacity with the weapons, U.S ... While the U.S ... -WN.com, Maureen Foody....
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[VIDEO]: Obama Bluntly Tells Trump: 'Stop Whining' About A Rigged Election
Edit WorldNews.com 18 Oct 2016
Republican presidential nominee Donald Trump has taken a new tack the last two weeks trying to energize his base – telling supporters their votes probably won’t matter because the election is being rigged, New York magazine reports. The report says Trump has spent most of this month blaming everyone but himself for his plummeting poll numbers ... “It is a grave concern on a number of fronts,” the Arizona RNC member told the outlet....
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The Melania Effect: Good or bad for Trump?
Edit MSNBC 19 Oct 2016
Melania Trump defended her husband and dismissed his accusers -- a risky strategy that undercuts Donald Trump's own attacks against Hillary Clinton. Will Melania's defense help or hurt Trump?. Read more ... ....
Thermo Fisher Scientific Highlights Innovations in Polymer Analysis at K 2016 (Thermo Fisher Scientific Inc)
Edit Public Technologies 19 Oct 2016
Thermo Fisher Scientific Inc). Thermo Fisher Scientific Inc., the world leader in serving science, will introduce new material characterization, molecular spectroscopy and web gauging solutions in hall 10, booth B59 at K Show, the world's largest trade fair for the plastics and rubber industry ... The modular Thermo Scientific HAAKE MARS rheometer platform combines two new in-situ rheology solutions ... About Thermo Fisher Scientific....
Herbal fuel hoax: When faith overrode scientific inquiry
Edit The Times of India 19 Oct 2016
The public's sympathetic reaction towards Ramar Pillai and against scientific institutions is, on the one hand, a telling commentary on the remarkable conservatism and establishmentarianism of organised science and, on the other, the vulnerability of the secularism project in India ... such as herbal cures to overshadow rational scientific approach....
FireMagic® Cool Catheter Obtains CFDA Approval (MicroPort Scientific Corporation)
Edit Public Technologies 19 Oct 2016
MicroPort Scientific Corporation) ... MicroPort Scientific Corporation (the 'Group') is a leading medical device company with business focusing on innovating, manufacturing, and marketing high-quality and high-end medical devices globally ... MicroPort Scientific Corporation undertakes no obligation to update any of the statements ... Copyright © 2016 MicroPort Scientific Corporation....
MicroPort® EP Attends 2016 Academic Annual Meeting of the Cardi... (MicroPort Scientific Corporation)
Edit Public Technologies 19 Oct 2016
MicroPort Scientific Corporation) ... MicroPort Scientific Corporation (the 'Group') is a leading medical device company with business focusing on innovating, manufacturing, and marketing high-quality and high-end medical devices globally ... MicroPort Scientific Corporation undertakes no obligation to update any of the statements ... Copyright © 2016 MicroPort Scientific Corporation....
With new model, buildings may “sense” internal damage (MIT - Massachusetts Institute of Technology)
Edit Public Technologies 19 Oct 2016
Now researchers at MIT have developed a computational model that makes sense of such ambient vibrations, picking out key features in the noise that give indications of a building's stability. The model may be used to monitor a building over time for signs of damage or mechanical stress ... The team tested its computational model on MIT's Green Building - a 21-story research building made completely from reinforced concrete....
70 Nobel Laureates Who Believe in Science Endorse Clinton Because, You Know, She Does Too
Edit Slate 19 Oct 2016
The supporters represented largely scientific fields including chemistry, physics, and medicine, along with economics ... sources of energy, and climate change and its consequences—require vigorous support for science and technology and the assurance that scientific knowledge will inform public policy....
Jilin Provincial Department of Education Signed a Contract with Five National Scientific Research Institutes (People's Government of Jilin Province)
Edit Public Technologies 19 Oct 2016
On October 12, the signing ceremony for cooperation between Jilin Provincial Department of Education and the province's five national scientific research institutes was held in Changchun ... out in-depth cooperation with the five national research institutes in scientific research, platform construction, personnel training, academic exchanges, etc....
LIGO Launches "Gravity Spy" Citizen Science Program (LIGO Caltech)
Edit Public Technologies 19 Oct 2016
(Source. LIGO Caltech). LIGO invites everyone to help improve its search for gravitational waves! ... If you want to help LIGO continue to make scientific history, then Gravity Spy is the Citizen Science program for you! Click, SIGN ME UP FOR GRAVITY SPY! to get started today! ... Of particular concern are transient, poorly modeled artifacts known by the LIGO community as glitches ... The general workflow will be ... (noodl. 35880379) ....
'Burj Khalifa' now the tallest Lego building model in the world
Edit Deccan Chronicle 19 Oct 2016
An amusement park in Dubai claims to have unveiled the world's tallest lego building structure, a model based on Burj Khalifa skyscraper, designed and built using 4,39,000 lego bricks with a height of 17 metres ... The Burj Khalifa model, at 17 metres tall (a record- ......
Tesla: Newly reserved Model 3 delivery to start mid-2018
Edit Denver Post 19 Oct 2016
said buyers who place new orders for Model 3 vehicles can expect to begin receiving deliveries as soon as mid-2018, with production starting as scheduled late next year ... “We still plan to begin Model 3 deliveries in late 2017, and we adjusted the date on our marketing page to reflect more accurate timing for new/future reservation holders.” Related Articles....
China numbers help Buick surpass 1 million sales
Edit Detroit Free Press 19 Oct 2016
Buick sales globally surpassed 1 million for 2016 by the end of September as popularity of models such as the Envision have driven increased sales in China and the U.S.(Photo ... One of those Chinese-produced models, the Envision, went on sale in the U.S ... Buick has six models in the U.S., including three ... model....
Mekong effort fails after years of lavish foreign funding
Edit Seattle PI 19 Oct 2016
Before that, the commission's reputation was already hanging by a thread; it paid several million dollars for a scientific study that recommended a 10-year moratorium on dam building but it was not adopted as an official document because of disagreement among the member countries ... expert, said donor money also paid for valuable scientific research....
UMPI hosts Science Lunchtime Seminar Series (University of Maine at Presque Isle)
Edit Public Technologies 19 Oct 2016
The Environmental Science and Sustainability and the Biology programs are hosting a lunchtime seminar series that will provide a forum to present scientific research conducted by UMPI students and faculty, and local and regional scientists, as well as topics in management, medicine and applied science ... in hearing about scientific pursuits....
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