Computational Models In Engineering

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Computational Modeling in Tissue Engineering

Author : Liesbet Geris
Publisher : Springer Science & Business Media
ISBN 13 : 3642325637
Total Pages : 438 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computational Modeling in Tissue Engineering by : Liesbet Geris

Download or read book Computational Modeling in Tissue Engineering written by Liesbet Geris and published by Springer Science & Business Media. This book was released on 2012-10-30 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the major challenges in tissue engineering is the translation of biological knowledge on complex cell and tissue behavior into a predictive and robust engineering process. Mastering this complexity is an essential step towards clinical applications of tissue engineering. This volume discusses computational modeling tools that allow studying the biological complexity in a more quantitative way. More specifically, computational tools can help in: (i) quantifying and optimizing the tissue engineering product, e.g. by adapting scaffold design to optimize micro-environmental signals or by adapting selection criteria to improve homogeneity of the selected cell population; (ii) quantifying and optimizing the tissue engineering process, e.g. by adapting bioreactor design to improve quality and quantity of the final product; and (iii) assessing the influence of the in vivo environment on the behavior of the tissue engineering product, e.g. by investigating vascular ingrowth. The book presents examples of each of the above mentioned areas of computational modeling. The underlying tissue engineering applications will vary from blood vessels over trachea to cartilage and bone. For the chapters describing examples of the first two areas, the main focus is on (the optimization of) mechanical signals, mass transport and fluid flow encountered by the cells in scaffolds and bioreactors as well as on the optimization of the cell population itself. In the chapters describing modeling contributions in the third area, the focus will shift towards the biology, the complex interactions between biology and the micro-environmental signals and the ways in which modeling might be able to assist in investigating and mastering this complexity. The chapters cover issues related to (multiscale/multiphysics) model building, training and validation, but also discuss recent advances in scientific computing techniques that are needed to implement these models as well as new tools that can be used to experimentally validate the computational results.

Computational Models in Engineering

Author : Konstantin Volkov
Publisher : BoD – Books on Demand
ISBN 13 : 1789238692
Total Pages : 148 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Computational Models in Engineering by : Konstantin Volkov

Download or read book Computational Models in Engineering written by Konstantin Volkov and published by BoD – Books on Demand. This book was released on 2020-03-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The accurate prediction of multi-physical and multi-scale physical/chemical/mechanical processes in engineering remains a challenging problem despite considerable work in this area and the acceptance of finite element analysis and computational fluid dynamics as design tools. This book intends to provide the reader with an overview of the latest developments in computational techniques used in various engineering disciplines. The book includes leading-edge scientific contributions of computational and applied mathematics, computer science and engineering focusing on the modelling and simulation of complex engineering systems and multi-physical/multi-scale engineering problems. The following topics are covered: numerical analysis and algorithms, software development, coupled analysis, multi-criteria optimization as they applied to all kinds of applied and emerging problems in energy systems, additive manufacturing, propulsion systems, and thermal engineering.

Introduction to Elementary Computational Modeling

Author : Jose Garrido
Publisher : CRC Press
ISBN 13 : 1439867399
Total Pages : 331 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Introduction to Elementary Computational Modeling by : Jose Garrido

Download or read book Introduction to Elementary Computational Modeling written by Jose Garrido and published by CRC Press. This book was released on 2011-10-26 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visualization of the implemented models. The author provides case studies, along with an overview of computational models and their development. The first part of the text presents the basic concepts of models and techniques for designing and implementing problem solutions. It applies standard pseudo-code constructs and flowcharts for designing models. The second part covers model implementation with basic programming constructs using MATLAB®, Octave, and FreeMat. Aimed at beginning students in computer science, mathematics, statistics, and engineering, Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving focuses on fundamentals, helping the next generation of scientists and engineers hone their problem solving skills.

Computational Models of Argument

Author : H. Prakken
Publisher : IOS Press
ISBN 13 : 1643681079
Total Pages : 498 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Computational Models of Argument by : H. Prakken

Download or read book Computational Models of Argument written by H. Prakken and published by IOS Press. This book was released on 2020-09-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.

Computational Modeling in Biomedical Engineering and Medical Physics

Author : Alexandru Morega
Publisher : Academic Press
ISBN 13 : 0128178973
Total Pages : 320 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Computational Modeling in Biomedical Engineering and Medical Physics by : Alexandru Morega

Download or read book Computational Modeling in Biomedical Engineering and Medical Physics written by Alexandru Morega and published by Academic Press. This book was released on 2020-10-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and numerical modelling of engineering problems in medicine is aimed at unveiling and understanding multidisciplinary interactions and processes and providing insights useful to clinical care and technology advances for better medical equipment and systems. When modelling medical problems, the engineer is confronted with multidisciplinary problems of electromagnetism, heat and mass transfer, and structural mechanics with, possibly, different time and space scales, which may raise concerns in formulating consistent, solvable mathematical models. Computational Medical Engineering presents a number of engineering for medicine problems that may be encountered in medical physics, procedures, diagnosis and monitoring techniques, including electrical activity of the heart, hemodynamic activity monitoring, magnetic drug targeting, bioheat models and thermography, RF and microwave hyperthermia, ablation, EMF dosimetry, and bioimpedance methods. The authors discuss the core approach methodology to pose and solve different problems of medical engineering, including essentials of mathematical modelling (e.g., criteria for well-posed problems); physics scaling (homogenization techniques); Constructal Law criteria in morphing shape and structure of systems with internal flows; computational domain construction (CAD and, or reconstruction techniques based on medical images); numerical modelling issues, and validation techniques used to ascertain numerical simulation results. In addition, new ideas and venues to investigate and understand finer scale models and merge them into continuous media medical physics are provided as case studies. Presents the fundamentals of mathematical and numerical modeling of engineering problems in medicine Discusses many of the most common modelling scenarios for Biomedical Engineering, including, electrical activity of the heart hemodynamic activity monitoring, magnetic drug targeting, bioheat models and thermography, RF and microwave hyperthermia, ablation, EMF dosimetry, and bioimpedance methods Includes discussion of the core approach methodology to pose and solve different problems of medical engineering, including essentials of mathematical modelling, physics scaling, Constructal Law criteria in morphing shape and structure of systems with internal flows, computational domain construction, numerical modelling issues, and validation techniques used to ascertain numerical simulation results

Computational Models for Polydisperse Particulate and Multiphase Systems

Author : Daniele L. Marchisio
Publisher : Cambridge University Press
ISBN 13 : 1107328179
Total Pages : 547 pages
Book Rating : 4.1/5 (73 download)

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Book Synopsis Computational Models for Polydisperse Particulate and Multiphase Systems by : Daniele L. Marchisio

Download or read book Computational Models for Polydisperse Particulate and Multiphase Systems written by Daniele L. Marchisio and published by Cambridge University Press. This book was released on 2013-03-28 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a clear description of the theory of polydisperse multiphase flows, with emphasis on the mesoscale modelling approach and its relationship with microscale and macroscale models, this all-inclusive introduction is ideal whether you are working in industry or academia. Theory is linked to practice through discussions of key real-world cases (particle/droplet/bubble coalescence, break-up, nucleation, advection and diffusion and physical- and phase-space), providing valuable experience in simulating systems that can be applied to your own applications. Practical cases of QMOM, DQMOM, CQMOM, EQMOM and ECQMOM are also discussed and compared, as are realizable finite-volume methods. This provides the tools you need to use quadrature-based moment methods, choose from the many available options, and design high-order numerical methods that guarantee realizable moment sets. In addition to the numerous practical examples, MATLAB® scripts for several algorithms are also provided, so you can apply the methods described to practical problems straight away.

Computational Bioengineering and Bioinformatics

Author : Nenad Filipovic
Publisher : Springer Nature
ISBN 13 : 3030436586
Total Pages : 175 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Computational Bioengineering and Bioinformatics by : Nenad Filipovic

Download or read book Computational Bioengineering and Bioinformatics written by Nenad Filipovic and published by Springer Nature. This book was released on 2020-03-11 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts

Computational Models of Brain and Behavior

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159067
Total Pages : 586 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-11-13 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Computational Models for Turbulent Reacting Flows

Author : Rodney O. Fox
Publisher : Cambridge University Press
ISBN 13 : 9780521659079
Total Pages : 156 pages
Book Rating : 4.6/5 (59 download)

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Book Synopsis Computational Models for Turbulent Reacting Flows by : Rodney O. Fox

Download or read book Computational Models for Turbulent Reacting Flows written by Rodney O. Fox and published by Cambridge University Press. This book was released on 2003-10-30 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents

Computational Flow Modeling for Chemical Reactor Engineering

Author : Vivek V. Ranade
Publisher : Academic Press
ISBN 13 : 0125769601
Total Pages : 476 pages
Book Rating : 4.1/5 (257 download)

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Book Synopsis Computational Flow Modeling for Chemical Reactor Engineering by : Vivek V. Ranade

Download or read book Computational Flow Modeling for Chemical Reactor Engineering written by Vivek V. Ranade and published by Academic Press. This book was released on 2002 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book relates the individual aspects of chemical reactor engineering and computational flow modeling in a coherent way to explain the potential of computational flow modeling for reactor engineering research and practice.

New Paradigms in Computational Modeling and Its Applications

Author : Snehashish Chakraverty
Publisher : Academic Press
ISBN 13 : 0128221682
Total Pages : 280 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis New Paradigms in Computational Modeling and Its Applications by : Snehashish Chakraverty

Download or read book New Paradigms in Computational Modeling and Its Applications written by Snehashish Chakraverty and published by Academic Press. This book was released on 2021-01-09 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. Presents a self-contained and up to date review of modelling real life scientific and engineering application problems Introduces new concepts of various computing techniques to handle different engineering and science problems Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms

Computational Modeling of Biological Systems

Author : Nikolay V Dokholyan
Publisher : Springer Science & Business Media
ISBN 13 : 1461421454
Total Pages : 360 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Computational Modeling of Biological Systems by : Nikolay V Dokholyan

Download or read book Computational Modeling of Biological Systems written by Nikolay V Dokholyan and published by Springer Science & Business Media. This book was released on 2012-02-12 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Author : Igelnik, Boris
Publisher : IGI Global
ISBN 13 : 1609605527
Total Pages : 686 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Computational Modeling and Simulation of Intellect: Current State and Future Perspectives by : Igelnik, Boris

Download or read book Computational Modeling and Simulation of Intellect: Current State and Future Perspectives written by Igelnik, Boris and published by IGI Global. This book was released on 2011-05-31 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

Computational Modeling

Author : Charles S. Taber
Publisher : SAGE
ISBN 13 : 9780803972704
Total Pages : 108 pages
Book Rating : 4.9/5 (727 download)

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Book Synopsis Computational Modeling by : Charles S. Taber

Download or read book Computational Modeling written by Charles S. Taber and published by SAGE. This book was released on 1996-03-21 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this introduction to computational modelling the authors provide a concise description of computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools.

Advances in Computational Modeling and Simulation

Author : Rallapalli Srinivas
Publisher : Springer Nature
ISBN 13 : 981167857X
Total Pages : 243 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in Computational Modeling and Simulation by : Rallapalli Srinivas

Download or read book Advances in Computational Modeling and Simulation written by Rallapalli Srinivas and published by Springer Nature. This book was released on 2022-02-15 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.

Introduction to Computational Models with Python

Author : Jose M. Garrido
Publisher : CRC Press
ISBN 13 : 1498712045
Total Pages : 492 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Introduction to Computational Models with Python by : Jose M. Garrido

Download or read book Introduction to Computational Models with Python written by Jose M. Garrido and published by CRC Press. This book was released on 2015-08-28 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m

Mathematical Modeling in Science and Engineering

Author : Ismael Herrera
Publisher : John Wiley & Sons
ISBN 13 : 1118207203
Total Pages : 259 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Mathematical Modeling in Science and Engineering by : Ismael Herrera

Download or read book Mathematical Modeling in Science and Engineering written by Ismael Herrera and published by John Wiley & Sons. This book was released on 2012-03-19 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: A powerful, unified approach to mathematical and computational modeling in science and engineering Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system. Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as: Mechanics of classical and non-classical continuous systems Solute transport by a free fluid Flow of a fluid in a porous medium Multiphase systems Enhanced oil recovery Fluid mechanics Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics. Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.