Image Processing Using Pulse-Coupled Neural Networks

An ideal resource for students, industrial engineers, and researchers, Signal Processing with Free Software Practical Experiments presents practical experiments in signal processing using free softwar

Single and Multi-Objective Evolutionary Computation (MOEA), Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), Fuzzy Controllers (FCs), Particle Swarm Optimization (PSO) and Ant colony Optim

Moscow-based mathematicians Kuzmina, Manykin, and Grichuk describe and analyze various oscillatory neutral network models, a special kind of artificial neural network model that helps elucidate the ba

Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines is a must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. Th

Femtosecond lasers opened up new avenue in materials processing due to its unique features of ultrashort pulse width and extremely high peak intensity. One of the most important features of femtosecon

Investigations involving incisive mechanistic dissection of various types of synaptic plasticity have revealed that it plays key roles in neural development, sensory information processing, cortical r

ADVANCED WORD PROCESSING, LESSONS 56-110, MICROSOFT WORD 2013, 19th Edition, will help you master the critical word processing skills most important for academic and career success. Using Microsoft Wo

Following on the release of The Digital Negative: Raw Image Processing in Lightroom, Camera Raw, and Photoshop, the definitive and bestselling guide to integrated raw image processing, renowned photog

?Given rising electricity consumption, coupled with finite resources, and a growing awareness surrounding sustainable energy, ICT-enabled electrical networks such as smart grids are increasingly being

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing tech

The principles of signal processing are fundamental to the operation of many everyday devices. This book introduces the basic theory of digital signal processing, with emphasis on real-world applications. Sampling, quantization, the Fourier transform, filters, Bayesian methods and numerical considerations are covered, then developed to illustrate how they are used in audio, image, and video processing and compression, and in communications. The book concludes with methods for the efficient implementation of algorithms in hardware and software. Intuitive arguments rather than mathematical ones are used wherever possible, and links between various signal processing techniques are stressed. The advantages and disadvantages of different approaches are presented in the context of real-world examples, enabling the reader to choose the best solution to a given problem. With over 200 illustrations and over 130 exercises (including solutions), this book will appeal to practitioners working in s

Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated wit

This book deals with the performance analysis of closed queueing networks with general processing times and finite buffer spaces. It offers a detailed introduction to the problem and a comprehensive l

Bringing together key researchers in disciplines ranging from visualization and image processing to applications in structural mechanics, fluid dynamics, elastography, and numerical mathematics, the w

The next-generation of wireless communications are envisioned to be supported by heterogeneous networks by using various wireless access technologies. The popular cellular networks and wireless local

More mathematicians have been taking part in the development of digital image processing as a science and the contributions are reflected in the increasingly important role modeling has played solving

Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, t

This volume comprises three studies titled as follows: "Sensemaking in networks: using network pictures to understand network dynamics," "SMES' networking capability and international performance," an

Using Formative Assessment in the RTI Framework RTI and formative assessment have the potential to positively impact student achievement. When formative assessment is coupled with RTI, teachers can ca

Covering image processing methods for analyzing residential land use, this book combines theoretical framework with practical applications, and describes a high resolution system for effective detecti

Using Formative Assessment in the RTI Framework RTI and formative assessment have the potential to positively impact student achievement. When formative assessment is coupled with RTI, teachers can ca

This book presents a simple, yet complete, approach to the design and performance analysis of distributed processing algorithms and techniques suitable for IEEE 802.15.4 networks. In particular, the b

This book constitutes the refereed proceedings of the International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2010, and the International Conference on Multimedia,

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years o

Alzheimer’s disease and frontotemporal dementia, two of the most prevalent neurodegenerative diseases, are dreaded disorders that attack the neural networks underlying memory and personality, systems

The preparation of sterile products using aseptic processing is considered perhaps the most critical process in the pharmaceutical industry and has witnessed continual improvement over the last half c

"This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear

Visitors to the velvet underground of computing are apt to encounter fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks, rough sets, and other methodologies of uncertainty. Comp

Computer modeling is now an integral part of research in evolutionary biology. The advent of increased processing power in the personal computer, coupled with the availability of languages such as R,

In general, image processing texts are intended for students of engineering and computer science, and there is little written at all on the specific requirements of medical image processing. Students

Provides information on using the Processing API to create character animation, 3D data, games, and a particle engine.

The 22 papers in this collection explore simulation theory, Petri nets, Monte Carlo, visualization, real-time simulation, and applications to neural networks, data mining, wireless networks, banks, an

Computer scientists, software engineers, and other researchers describe recent investigations into how artificial intelligence techniques and concepts as knowledge-based systems, neural networks, fuzz

First published in 1990, Archaeological Prospecting and Remote Sensing surveys some of the highly ingenious non-destructive methods for detecting and mapping remains of ancient cultures that have vanished from the modern surface. Techniques include low-level air photography, magnetic, thermal, electric, and electromagnetic geophysical prospecting. A mathematical analysis of the phenomena and measurements is given together with the techniques for interpretation of results using computerized image processing. Archaeological prospecting used with image processing has emerged as a universal tool. The aim is to build a visual geographic system available for use by conservationists, historians and scientists alike. The team of authors comprises an archaeologist, two geophysicists and an applied mathematician who have collaborated to produce a book of immense value in this innovative field of study.

Intelligent control - control based on fuzzy logic and neural networks - has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots

A helpful and balanced approach using Cognitive Behavioral Therapy to manage the symptoms associated with body image problems.The accessible, straightforward, and practical books in the Overcoming se

This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and

Applied Signal Processing Using MATLAB presents a project-oriented framework for understanding signal processing theory. The book aims to allow readers to benefit from the teaching experience of expe

Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and v

The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information received from different sensors into a single composite ima