New Paradigms In Computational Modeling And Its Applications
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Author | : Snehashish Chakraverty |
Publisher | : Academic Press |
Total Pages | : 280 |
Release | : 2021-01-09 |
Genre | : Science |
ISBN | : 0128221682 |
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
Author | : Charles S. Taber |
Publisher | : SAGE |
Total Pages | : 108 |
Release | : 1996-03-21 |
Genre | : Computers |
ISBN | : 9780803972704 |
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.
Author | : Simon Farrell |
Publisher | : Cambridge University Press |
Total Pages | : 485 |
Release | : 2018-02-22 |
Genre | : Psychology |
ISBN | : 110710999X |
This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.
Author | : S. Sumathi |
Publisher | : CRC Press |
Total Pages | : 853 |
Release | : 2010-01-05 |
Genre | : Computers |
ISBN | : 1439809038 |
Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and pr
Author | : Defang Ouyang |
Publisher | : John Wiley & Sons |
Total Pages | : 350 |
Release | : 2015-07-20 |
Genre | : Science |
ISBN | : 1118573994 |
Molecular modeling techniques have been widely used in drug discovery fields for rational drug design and compound screening. Now these techniques are used to model or mimic the behavior of molecules, and help us study formulation at the molecular level. Computational pharmaceutics enables us to understand the mechanism of drug delivery, and to develop new drug delivery systems. The book discusses the modeling of different drug delivery systems, including cyclodextrins, solid dispersions, polymorphism prediction, dendrimer-based delivery systems, surfactant-based micelle, polymeric drug delivery systems, liposome, protein/peptide formulations, non-viral gene delivery systems, drug-protein binding, silica nanoparticles, carbon nanotube-based drug delivery systems, diamond nanoparticles and layered double hydroxides (LDHs) drug delivery systems. Although there are a number of existing books about rational drug design with molecular modeling techniques, these techniques still look mysterious and daunting for pharmaceutical scientists. This book fills the gap between pharmaceutics and molecular modeling, and presents a systematic and overall introduction to computational pharmaceutics. It covers all introductory, advanced and specialist levels. It provides a totally different perspective to pharmaceutical scientists, and will greatly facilitate the development of pharmaceutics. It also helps computational chemists to look for the important questions in the drug delivery field. This book is included in the Advances in Pharmaceutical Technology book series.
Author | : Anthony Laskovski |
Publisher | : BoD – Books on Demand |
Total Pages | : 752 |
Release | : 2011-01-08 |
Genre | : Medical |
ISBN | : 9533074752 |
Rapid technological developments in the last century have brought the field of biomedical engineering into a totally new realm. Breakthroughs in material science, imaging, electronics and more recently the information age have improved our understanding of the human body. As a result, the field of biomedical engineering is thriving with new innovations that aim to improve the quality and cost of medical care. This book is the first in a series of three that will present recent trends in biomedical engineering, with a particular focus on electronic and communication applications. More specifically: wireless monitoring, sensors, medical imaging and the management of medical information.
Author | : Luigi Nibali |
Publisher | : John Wiley & Sons |
Total Pages | : 738 |
Release | : 2016-08-05 |
Genre | : Science |
ISBN | : 1118982894 |
Microbiota-associated pathology can be a direct result of changes in general bacterial composition, such as might be found in periodontitis and bacterial vaginosis, and/or as the result of colonization and/or overgrowth of so called keystone species. The disruption in the composition of the normal human microbiota, or dysbiosis, plays an integral role in human health and human disease. The Human Microbiota and Human Chronic Disease: Dysbioses as a Cause of Human Pathology discusses the role of the microbiota in maintaining human health. The text introduces the reader to the biology of microbial dysbiosis and its potential role in both bacterial disease and in idiopathic chronic disease states. Divided into five sections, the text delineates the concept of the human bacterial microbiota with particular attention being paid to the microbiotae of the gut, oral cavity and skin. A key methodology for exploring the microbiota, metagenomics, is also described. The book then shows the reader the cellular, molecular and genetic complexities of the bacterial microbiota, its myriad connections with the host and how these can maintain tissue homeostasis. Chapters then consider the role of dysbioses in human disease states, dealing with two of the commonest bacterial diseases of humanity – periodontitis and bacterial vaginosis. The composition of some, if not all microbiotas can be controlled by the diet and this is also dealt with in this section. The discussion moves on to the major ‘idiopathic’ diseases afflicting humans, and the potential role that dysbiosis could play in their induction and chronicity. The book then concludes with the therapeutic potential of manipulating the microbiota, introducing the concepts of probiotics, prebiotics and the administration of healthy human faeces (faecal microbiota transplantation), and then hypothesizes as to the future of medical treatment viewed from a microbiota-centric position. Provides an introduction to dysbiosis, or a disruption in the composition of the normal human microbiota Explains how microbiota-associated pathology and other chronic diseases can result from changes in general bacterial composition Explores the relationship humans have with their microbiota, and its significance in human health and disease Covers host genetic variants and their role in the composition of human microbial biofilms, integral to the relationship between human health and human disease Authored and edited by leaders in the field, The Human Microbiota and Human Chronic Disease will be an invaluable resource for clinicians, pathologists, immunologists, cell and molecular biologists, biochemists, and system biologists studying cellular and molecular bases of human diseases.
Author | : Suresh Balusamy |
Publisher | : Springer Nature |
Total Pages | : 130 |
Release | : 2020-10-27 |
Genre | : Computers |
ISBN | : 9811597006 |
This book constitutes the proceedings of the 4th International Conference on Computational Intelligence, Cyber Security, and Computational Models, ICC3 2019, which was held in Coimbatore, India, in December 2019. The 9 papers presented in this volume were carefully reviewed and selected from 38 submissions. They were organized in topical sections named: computational intelligence; cyber security; and computational models.
Author | : Alonso, Eduardo |
Publisher | : IGI Global |
Total Pages | : 394 |
Release | : 2010-11-30 |
Genre | : Computers |
ISBN | : 1609600231 |
"This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--
Author | : Giorgio Fasano |
Publisher | : Springer Science & Business Media |
Total Pages | : 409 |
Release | : 2012-10-23 |
Genre | : Mathematics |
ISBN | : 1461444683 |
This volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization. The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems – including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space manoeuvres, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization – are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations. Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges.