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Network-Oriented Modeling for Adaptive Networks

Network-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with;

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Network-Oriented Modeling for Adaptive Networks

-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with multidisciplinary;

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End-to-End Adaptive Congestion Control in TCP/IP Networks

and introductory material on dynamic systems stability and neural network approximation; alongside future internet requests for congestion;

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Modeling and Simulation of Complex Communication Networks

. With contributions from an international panel of experts, this book is essential reading for networking, computing, and communications;

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning;

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RF Tunable Devices and Subsystems

loop. The author provides readers with the necessary background and methods for designing and developing tunable RF networks/circuits and;

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SDH / SONET Explained in Functional Models

is not restricted to SDH/SONET but that is can be used to describe any transport network, connection-oriented and connectionless, e. g. Ethernet;

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Active and Programmable Networks for Adaptive Architectures and Services

of software and hardware into the network components. Active and Programmable Networks for Adaptive Architectures and Services introduces a new;

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Active and Programmable Networks for Adaptive Architectures and Services

of software and hardware into the network components. Active and Programmable Networks for Adaptive Architectures and Services introduces a new;

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Modeling and Simulation of Computer Networks and Systems

simulation in order to effectively optimize networks. It describes methodologies for modeling and simulation of new generations of wireless and;

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Quality-Of-Experience For Multimedia

precisely, in the context of Content-Oriented Networks used to redesign the current Internet architecture to accommodate content-oriented;

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New Trends in Optical Network Design and Modeling

Optical network design and modeling is an essential issue for planning and operating networks for the next century. The main issues;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Adaptive Networks

them highly attractive targets for research. The resulting network hype has made the word network one of the most in uential buzzwords seen;

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Networks in Systems Biology

its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Adaptive Signal Processing in Wireless Communications

application layer, and from cellular systems to next-generation wireless networks. This specific volume, Adaptive Signal Processing in Wireless;

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Statistical Analysis of Network Data with R

is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent;

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New Trends in Optical Network Design and Modeling

Optical network design and modeling is an essential issue for planning and operating networks for the next century. The main issues;

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Architectural Wireless Networks Solutions and Security Issues

reducing and controlling its architectural issues. The book discusses efficiency and robustness of wireless network as a platform for communication;

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Neural and Adaptive Systems

engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals;

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Building Neural Networks

of the potential, and the limitations of different network models. Examples are described in enough detail for you to assimilate the information;

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The Neural Simulation Language

world, including those for conditional learning, face recognition, associative search networks, and visuomotor coordination. Each chapter;

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Managing Traffic Performance in Converged Networks

, impact of convergence and divergence forces on network performance, traffic management in wireless networks, and network design for capacity and;

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Navy Network Dependability

establish and maintain dependable networks for ship and multiship networks. The authors develop a framework for measuring the dependability of naval;

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Handbook of Neural Network Signal Processing

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems;

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