The goal of this project is to introduce modeling and representation methods to solve dynamics problems. The intuitive System Dynamics representation is introduced and backed up with advanced mathematical concepts such as differential equations and Control theory techniques. This project attempts to illustrate both abstract and intuitive approaches based on examples arising in social and business systems. The topics include graphical representations, delays, numerical methods, and common behavioral pattern of typical structures
Conventional optimization solvers provide a single optimal solution to an optimization model, which ...
In most material removal processes, the size and shape of the stock material, the desired surface an...
In this project, we explore the use of iterative construction techniques to subdivide domains and an...
Genetics and epigenetics are widely expected to revolutionise our understanding of health and disea...
The boundary element method is applied to elasticity problems in two- dimensions. The boundary is di...
This thesis presents a new method for Computer Aided Process Planning (CAPP) for a subtractive Rapid...
Real social graphs datasets are fundamental to understanding a variety of phenomena, such as epidemi...
In this project, we constructed classification models for gene expression based on association rules...
Distributed Software Development today is one of the most widely used and implemented software devel...
Uncertainty in the manufacturing industry has been a research interest for many years. Deterministic...
This thesis describes WORD2HTN, which is a novel and semantic approach for learning hierarchical tas...
Almost all practical systems are nonlinear, which are subject to disturbances and contain uncertaint...
In this thesis, we demonstrate the application of linear operator theory for data-driven dynamic mod...
The study was started to determine the possible use of System Dynamics in economics. As it is a gre...
In recent time, many researches have come up with new different approaches and means for Computer-Ai...
Conventional optimization solvers provide a single optimal solution to an optimization model, which ...
In most material removal processes, the size and shape of the stock material, the desired surface an...
In this project, we explore the use of iterative construction techniques to subdivide domains and an...
Genetics and epigenetics are widely expected to revolutionise our understanding of health and disea...
The boundary element method is applied to elasticity problems in two- dimensions. The boundary is di...
This thesis presents a new method for Computer Aided Process Planning (CAPP) for a subtractive Rapid...
Real social graphs datasets are fundamental to understanding a variety of phenomena, such as epidemi...
In this project, we constructed classification models for gene expression based on association rules...
Distributed Software Development today is one of the most widely used and implemented software devel...
Uncertainty in the manufacturing industry has been a research interest for many years. Deterministic...
This thesis describes WORD2HTN, which is a novel and semantic approach for learning hierarchical tas...
Almost all practical systems are nonlinear, which are subject to disturbances and contain uncertaint...
In this thesis, we demonstrate the application of linear operator theory for data-driven dynamic mod...
The study was started to determine the possible use of System Dynamics in economics. As it is a gre...
In recent time, many researches have come up with new different approaches and means for Computer-Ai...
Conventional optimization solvers provide a single optimal solution to an optimization model, which ...
In most material removal processes, the size and shape of the stock material, the desired surface an...
In this project, we explore the use of iterative construction techniques to subdivide domains and an...