Network Modeling

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Emerging Technologies for Health and Medicine

Author : Dac-Nhuong Le
Publisher : John Wiley & Sons
ISBN 13 : 1119509882
Total Pages : 318 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Emerging Technologies for Health and Medicine by : Dac-Nhuong Le

Download or read book Emerging Technologies for Health and Medicine written by Dac-Nhuong Le and published by John Wiley & Sons. This book was released on 2018-10-02 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing. This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices. This groundbreaking book presents state-of-the-art chapters on many subjects including: A review of the implications of VR and AR healthcare applications A review of current augmenting dental care An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in virtual reality (VR) and other new technologies A review of telemedicine technologies Building empathy in young children using augmented reality AI technologies for mobile health of stroke monitoring & rehabilitation robotics control Mobile doctor brain AI App An artificial intelligence mobile cloud computing tool Development of a robotic teaching aid for disabled children Training system design of lower limb rehabilitation robot based on virtual reality

Network-Oriented Modeling

Author : Jan Treur
Publisher : Springer
ISBN 13 : 3319452134
Total Pages : 501 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Network-Oriented Modeling by : Jan Treur

Download or read book Network-Oriented Modeling written by Jan Treur and published by Springer. This book was released on 2016-10-03 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.

Modeling and Tools for Network Simulation

Author : Klaus Wehrle
Publisher : Springer Science & Business Media
ISBN 13 : 3642123317
Total Pages : 547 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Modeling and Tools for Network Simulation by : Klaus Wehrle

Download or read book Modeling and Tools for Network Simulation written by Klaus Wehrle and published by Springer Science & Business Media. This book was released on 2010-09-22 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: A crucial step during the design and engineering of communication systems is the estimation of their performance and behavior; especially for mathematically complex or highly dynamic systems network simulation is particularly useful. This book focuses on tools, modeling principles and state-of-the art models for discrete-event based network simulations, the standard method applied today in academia and industry for performance evaluation of new network designs and architectures. The focus of the tools part is on two distinct simulations engines: OmNet++ and ns-3, while it also deals with issues like parallelization, software integration and hardware simulations. The parts dealing with modeling and models for network simulations are split into a wireless section and a section dealing with higher layers. The wireless section covers all essential modeling principles for dealing with physical layer, link layer and wireless channel behavior. In addition, detailed models for prominent wireless systems like IEEE 802.11 and IEEE 802.16 are presented. In the part on higher layers, classical modeling approaches for the network layer, the transport layer and the application layer are presented in addition to modeling approaches for peer-to-peer networks and topologies of networks. The modeling parts are accompanied with catalogues of model implementations for a large set of different simulation engines. The book is aimed at master students and PhD students of computer science and electrical engineering as well as at researchers and practitioners from academia and industry that are dealing with network simulation at any layer of the protocol stack.

Target-Centric Network Modeling

Author : Robert M. Clark
Publisher : CQ Press
ISBN 13 : 1483316998
Total Pages : 314 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Target-Centric Network Modeling by : Robert M. Clark

Download or read book Target-Centric Network Modeling written by Robert M. Clark and published by CQ Press. This book was released on 2015-03-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Target-Centric Network Modeling: Case Studies in Analyzing Complex Intelligence Issues, authors Robert Clark and William Mitchell take an entirely new approach to teaching intelligence analysis. Unlike any other book on the market, it offers case study scenarios using actual intelligence reporting format, along with a tested process that facilitates the production of a wide range of analytical products for civilian, military, and hybrid intelligence environments. Readers will learn how to perform the specific actions of problem definition modeling, target network modeling, and collaborative sharing in the process of creating a high-quality, actionable intelligence product. The case studies reflect the complexity of twenty-first century intelligence issues. Working through these cases, students will learn to manage and evaluate realistic intelligence accounts.

Modeling and Simulation of Computer Networks and Systems

Author : Faouzi Zarai
Publisher : Morgan Kaufmann
ISBN 13 : 0128011580
Total Pages : 965 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Modeling and Simulation of Computer Networks and Systems by : Faouzi Zarai

Download or read book Modeling and Simulation of Computer Networks and Systems written by Faouzi Zarai and published by Morgan Kaufmann. This book was released on 2015-04-21 with total page 965 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array of modeling and simulation issues related to computer networks and systems. It focuses on the theories, tools, applications and uses of modeling and simulation in order to effectively optimize networks. It describes methodologies for modeling and simulation of new generations of wireless and mobiles networks and cloud and grid computing systems. Drawing upon years of practical experience and using numerous examples and illustrative applications recognized experts in both academia and industry, discuss: Important and emerging topics in computer networks and systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks Methodologies, strategies and tools, and strategies needed to build computer networks and systems modeling and simulation from the bottom up Different network performance metrics including, mobility, congestion, quality of service, security and more... Modeling and Simulation of Computer Networks and Systems is a must have resource for network architects, engineers and researchers who want to gain insight into optimizing network performance through the use of modeling and simulation. Discusses important and emerging topics in computer networks and Systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks Provides the necessary methodologies, strategies and tools needed to build computer networks and systems modeling and simulation from the bottom up Includes comprehensive review and evaluation of simulation tools and methodologies and different network performance metrics including mobility, congestion, quality of service, security and more

Network Modeling and Simulation

Author : Mohsen Guizani
Publisher : John Wiley & Sons
ISBN 13 : 9780470515204
Total Pages : 304 pages
Book Rating : 4.5/5 (152 download)

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Book Synopsis Network Modeling and Simulation by : Mohsen Guizani

Download or read book Network Modeling and Simulation written by Mohsen Guizani and published by John Wiley & Sons. This book was released on 2010-01-26 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Modeling and Simulation is a practical guide to using modeling and simulation to solve real-life problems. The authors give a comprehensive exposition of the core concepts in modeling and simulation, and then systematically address the many practical considerations faced by developers in modeling complex large-scale systems. The authors provide examples from computer and telecommunication networks and use these to illustrate the process of mapping generic simulation concepts to domain-specific problems in different industries and disciplines. Key features: Provides the tools and strategies needed to build simulation models from the ground up rather than providing solutions to specific problems. Includes a new simulation tool, CASiNO built by the authors. Examines the core concepts of systems simulation and modeling. Presents code examples to illustrate the implementation process of commonly encountered simulation tasks. Offers examples of industry-standard modeling methodology that can be applied in steps to tackle any modeling problem in practice.

Statistical Analysis of Network Data

Author : Eric D. Kolaczyk
Publisher : Springer Science & Business Media
ISBN 13 : 0387881468
Total Pages : 397 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Statistical Analysis of Network Data by : Eric D. Kolaczyk

Download or read book Statistical Analysis of Network Data written by Eric D. Kolaczyk and published by Springer Science & Business Media. This book was released on 2009-04-20 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

Network Modeling, Simulation, and Analysis

Author : Garzia
Publisher : CRC Press
ISBN 13 : 9780824778767
Total Pages : 408 pages
Book Rating : 4.7/5 (787 download)

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Book Synopsis Network Modeling, Simulation, and Analysis by : Garzia

Download or read book Network Modeling, Simulation, and Analysis written by Garzia and published by CRC Press. This book was released on 1990-03-12 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely, authoritative reference covers a breadth of topics in the fields of circuit-switched communications and data networks. It focuses on methodologies for developing network models and techniques for analyzing numerous types and aspects of networks. Bringing together in one complete source a vast amount of information on recent technological advances, Network Modeling, Simulation, and Analysis examines applications of compartmental models to engineering ... network models for the performance analysis of local area computer networks ... closed-form solutions for the evaluation of network performance measures ... adaptive routing and design algorithms for reliable distributed networks ... mixed voice/data networks ... and more. Illustrating concepts with examples from actual case studies, more than 650 display equations, and numerous figures and tables, this exemplary resource is invaluable reading for electrical and electronics, communications, performance, control, industrial, systems, and manufacturing engineers; computer scientists/engineers; operations research scientists; applied mathematicians; and advanced undergraduate and graduate students in these disciplines. Book jacket.

Network Models for Data Science

Author : Alan Julian Izenman
Publisher : Cambridge University Press
ISBN 13 : 1108835767
Total Pages : 501 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Network Models for Data Science by : Alan Julian Izenman

Download or read book Network Models for Data Science written by Alan Julian Izenman and published by Cambridge University Press. This book was released on 2022-12-31 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.

Fundamentals of Neural Network Modeling

Author : Randolph W. Parks
Publisher : MIT Press
ISBN 13 : 9780262161756
Total Pages : 450 pages
Book Rating : 4.1/5 (617 download)

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Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks

Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble

An Introduction to Network Modeling and Simulation for the Practicing Engineer

Author : Jack L. Burbank
Publisher : John Wiley & Sons
ISBN 13 : 1118063643
Total Pages : 165 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis An Introduction to Network Modeling and Simulation for the Practicing Engineer by : Jack L. Burbank

Download or read book An Introduction to Network Modeling and Simulation for the Practicing Engineer written by Jack L. Burbank and published by John Wiley & Sons. This book was released on 2011-08-04 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the practicing engineer with a concise listing of commercial and open-source modeling and simulation tools currently available including examples of implementing those tools for solving specific Modeling and Simulation examples. Instead of focusing on the underlying theory of Modeling and Simulation and fundamental building blocks for custom simulations, this book compares platforms used in practice, and gives rules enabling the practicing engineer to utilize available Modeling and Simulation tools. This book will contain insights regarding common pitfalls in network Modeling and Simulation and practical methods for working engineers.

Neural Network Modeling

Author : P. S. Neelakanta
Publisher : CRC Press
ISBN 13 : 1351428950
Total Pages : 262 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Neural Network Modeling by : P. S. Neelakanta

Download or read book Neural Network Modeling written by P. S. Neelakanta and published by CRC Press. This book was released on 2018-02-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.

Dynamic Social Network Modeling and Analysis

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309089522
Total Pages : 393 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Dynamic Social Network Modeling and Analysis by : National Research Council

Download or read book Dynamic Social Network Modeling and Analysis written by National Research Council and published by National Academies Press. This book was released on 2003-08-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions â€" Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds â€" each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.

Network Modeling, Simulation and Analysis in MATLAB

Author : Dac-Nhuong Le
Publisher : John Wiley & Sons
ISBN 13 : 1119631459
Total Pages : 350 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Network Modeling, Simulation and Analysis in MATLAB by : Dac-Nhuong Le

Download or read book Network Modeling, Simulation and Analysis in MATLAB written by Dac-Nhuong Le and published by John Wiley & Sons. This book was released on 2019-08-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation. The book will cover the topics practically to describe network routing simulation using MATLAB tool. It will cover the dimensions’ like Wireless network and WSN simulation using MATLAB, then depict the modeling and simulation of vehicles power network in detail along with considering different case studies. Key features of the book include: Discusses different basics and advanced methodology with their fundamental concepts of exploration and exploitation in NETWORK SIMULATION. Elaborates practice questions and simulations in MATLAB Student-friendly and Concise Useful for UG and PG level research scholar Aimed at Practical approach for network simulation with more programs with step by step comments. Based on the Latest technologies, coverage of wireless simulation and WSN concepts and implementations

Discrete Fracture Network Modeling of Hydraulic Stimulation

Author : Mark W. McClure
Publisher : Springer Science & Business Media
ISBN 13 : 3319003836
Total Pages : 96 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Discrete Fracture Network Modeling of Hydraulic Stimulation by : Mark W. McClure

Download or read book Discrete Fracture Network Modeling of Hydraulic Stimulation written by Mark W. McClure and published by Springer Science & Business Media. This book was released on 2013-06-15 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete Fracture Network Modeling of Hydraulic Stimulation describes the development and testing of a model that couples fluid-flow, deformation, friction weakening, and permeability evolution in large, complex two-dimensional discrete fracture networks. The model can be used to explore the behavior of hydraulic stimulation in settings where matrix permeability is low and preexisting fractures play an important role, such as Enhanced Geothermal Systems and gas shale. Used also to describe pure shear stimulation, mixed-mechanism stimulation, or pure opening-mode stimulation. A variety of novel techniques to ensure efficiency and realistic model behavior are implemented, and tested. The simulation methodology can also be used as an efficient method for directly solving quasistatic fracture contact problems. Results show how stresses induced by fracture deformation during stimulation directly impact the mechanism of propagation and the resulting fracture network.

Bayesian Network Modeling of Corrosion

Author : Narasi Sridhar
Publisher : Springer Nature
ISBN 13 : 3031561287
Total Pages : 343 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Bayesian Network Modeling of Corrosion by : Narasi Sridhar

Download or read book Bayesian Network Modeling of Corrosion written by Narasi Sridhar and published by Springer Nature. This book was released on with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational and Network Modeling of Neuroimaging Data

Author : Kendrick Kay
Publisher : Elsevier
ISBN 13 : 0443134812
Total Pages : 356 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Computational and Network Modeling of Neuroimaging Data by : Kendrick Kay

Download or read book Computational and Network Modeling of Neuroimaging Data written by Kendrick Kay and published by Elsevier. This book was released on 2024-06-17 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired. It is widely recognized that effective interpretation and extraction of information from such data requires quantitative modeling. However, modeling comes in many diverse forms, with different research communities tackling different brain systems, different spatial and temporal scales, and different aspects of brain structure and function. Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data. This book gives an accessible foundation to the field of computational and network modeling of neuroimaging data and is suitable for graduate students, academic researchers, and industry practitioners who are interested in adopting or applying model-based approaches in neuroimaging. Provides an authoritative and comprehensive overview of major modeling approaches to neuroimaging data Written by experts, the book's chapters use a common structure to introduce, motivate, and describe a specific modeling approach used in neuroimaging Gives insights into the similarities and differences across different modeling approaches Analyses details of outstanding research challenges in the field