Image Processing Using Pulse-Coupled Neural Networks

MRI in Practice continues to be the number one reference book and study guide for MRI instrumentation, principles, pulse sequences, image acquisition and imaging parameters for the registry review exa

This book provides a wealth of information for all those involved in using ecological networks for biodiversity protection and environmental management, as well as their significance for planning. It

Explore how to develop and implement wireless server networks (WSN) using Contiki-NG, branded as the operating system for the IoT. The book explains Contiki-NG’s advantages in sensing, communication,

Using the new C3 Framework for Social Studies Standards, Body Image in the Media in the Global Citizens: Modern Media series explores the sport through the lenses of History, Geography, Civics, and Ec

Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance.Deep Learning for Search teaches readers how to improve the ef

This book addresses the basics of interval/fuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step-by-step modeling for application problems along with simulatio

This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also d

This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy log

This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks

This book focuses on image based security techniques, namely visual cryptography, watermarking, and steganography. The book includes many examples and applications, as well as implementation using MAT

Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which differ fundamentally from the mathematically-based computing met

The auditory system is a complex neural system composed of many types of neurons connected into networks. One feature that sets the auditory system apart from other sensory systems, such as somatosens

Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how t

This practically-oriented, all-inclusive guide covers the essential concepts of power electronics through MATLAB® examples and simulations. In-depth explanation of important topics including digital control, power electronic applications, and electrical drives make it a valuable reference for readers. The experiments and applications based on MATLAB® models using fuzzy logic and neural networks are included for better understanding. Engrossing discussion of concepts such as diac, light-emitting diode, thyristors, power MOSFET and static induction transistor, offers an enlightening experience to readers. With numerous solved examples, exercises, review questions, and GATE questions, the undergraduate and graduate students of electrical and electronics engineering will find this text useful.

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

Learn digital image editing without the expense of using subscription-based editors. This book will pave the way for you to leverage Pixlr Editor, a free, web-based image editing solution th

Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing

Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically

185 healthy, wholesome and delicious recipes using all types of pulse and legume, photographed throughout.

In this book, some of today’s leading neurolinguists and psycholinguists provide insight into the nature of phonological processing using behavioural measures, computational modeling, EEG and fMRI. Th

?Empathy is a widely used term, but it is also difficult to define. In recent years, the field of cognitive neuroscience has made impressive strides in identifying neural networks in the brain related

?Empathy is a widely used term, but it is also difficult to define. In recent years, the field of cognitive neuroscience has made impressive strides in identifying neural networks in the brain related

There is now a growing interest in using FPGAs for an increasing range of applications, notably Big Data. The 2nd edition of FPGA-based Implementation of Signal Processing will be extensively updated

This book will teach you how to deploy large-scale dataset in deep neural networks with Hadoop for optimal performance.Starting with understanding what deep learning is, and what the various models as

The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and geneti

This book presents problems and solutions of the mathematical theories of thermoelasticity and magnetothermoelasticity. The classical, coupled and generalized theories are solved using the eigenvalue

Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal processing. All the core areas of mathematics are covered, including generalized inverses, singular value decomposition, function representation, and optimization, with detailed explanations of how basic concepts in these areas underpin the methods used to perform signal processing tasks. A particular emphasis is placed on the practical applications of signal processing, with numerous in-text practice questions and real-world examples illustrating key concepts, and MATLAB programs with accompanying graphical representations providing all the necessary computational background. This is an ideal text for graduate students taking courses in signal processing and mathematical methods, or those who want to establish a firm foundation in these areas before progressing to more advanced study.

The subject of this textbook is deep learning, the modern incarnation of neural networks. This is the first textbook on this subject written by recognized academic author

This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All t

This collection explores up-to-date descriptions of known G protein-coupled receptor kinase (GRK)-dependent mechanisms, both associated with G protein-coupled receptor (GPCR) functions and the recepto

If you use Linux in your day-to-day work, this popular pocket guide is the perfect on-the-job reference. The third edition features new sections on image file processing, audio file processing, video

Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approach

This book provides a rigorous treatment of deterministic and random signals. It offers detailed information on topics including random signals, system modelling and system analysis. System analysis in frequency domain using Fourier transform and Laplace transform is explained with theory and numerical problems. The advanced techniques used for signal processing, especially for speech and image processing, are discussed. The properties of continuous time and discrete time signals are explained with a number of numerical problems. The physical significance of different properties is explained using real-life examples. To aid understanding, concept check questions, review questions, a summary of important concepts, and frequently asked questions are included. MATLAB programs, with output plots and simulation examples, are provided for each concept. Students can execute these simulations and verify the outputs.

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or

Exploring the overlap of mathematics and engineering network synthesis, this book presents a rigorous treatment of the key principles underpinning linear lumped passive time-invariant networks. Based around a series of lectures given by the author, this thoughtfully written book draws on his wide experience in the field, carefully revealing the essential mathematical structure of network synthesis problems. Topics covered include passive n-ports, broadband matching, the design of passive multiplexes and two-state passive devices. It also includes material not usually found in existing texts, such as the theoretical behavior of transverse electromagnetic (TEM) coupled transmission lines. Introducing fundamental principles in a formal theorem-proof style, illustrated by worked examples, this book is an invaluable resource for graduate students studying linear networks and circuit design, academic researchers, and professional circuit engineers.

The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be

This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image 'inpainting', an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDEs to automate this task. This book introduces the mathematical concept of PDEs for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real-world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate studen

This volume contains 40 papers from the following 10 Materials Science and Technology (MS&T’14) symposia:Rustum Roy Memorial Symposium: Processing and Performance of Materials Using Microwaves

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction,