Image Processing Using Pulse-Coupled Neural Networks

Focusing on everything from the basics of opportunistic networks to modeling them, communicating through them and using them for collaboration and cooperation, this volume covers all aspects of the to

Dr. Harris here provides a Rosetta Stone for exploring neural networks, mental hubs, mind/brain synthesis—and institutions that externalize these structures. Extending Freud’s discovery of a person’s

This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. Th

Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clusterin

Spin glasses are disordered magnetic systems that have led to the development of mathematical tools with an array of real-world applications, from airline scheduling to neural networks. Spin Glasses a

In this groundbreaking book, Adrian Bejan takes the recurring patterns in nature—trees, tributaries, air passages, neural networks, and lightning bolts—and reveals how a single principle of physics, t

Declarative query interfaces to Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to

Distributed Sensor Networks is the first book of its kind to examine solutions to this problem using ideas taken from the field of multiagent systems. The field of multiagent systems has itself seen a

Appropriate for neurologists as well as others involved in the medical field, this review of the emerging study of neuroadaptive systems, or the study of neural processing systems in the brain, is div

The book contains discussion on raster and vector data processing using Python binding of GDAL/OGR library. Also, different approaches of representing spatial reference system are enumerated. There is

This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experime

This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of pote

Generative design is a revolutionary new method of creating artwork, models, and animations from sets of rules, or algorithms. By using accessible programming languages such as Processing, artists and

The first in-depth treatment of the synthesis, processing, and characterization of nanomaterials using lasers, ranging from fundamentals tothe latest research results, this handy reference is divided

This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems.

This study discusses Quality Systems employing techniques from the field of Artificial Intelligence (AI). It focuses upon expert systems and neural networks, two of the most popular AI techniques. Exp

Contributors from those fields describe experimental work by biochemists and biologists and theoretical approaches by physicists and computer scientists into using biomolecular systems for processing

This state-of-the-art survey offers a renewed and refreshing focus on the progress in evolutionary computation, in neural networks, and in fuzzy systems. The book presents the expertise and experience

The concept of pattern is universal in intelligence. This book recounts recent progress in pattern recognition using neural networks and functional networks, including wavelet transforms in the contex

In this book, the authors illustrate how social networks can play a very significant role in the technological catch up process in moderate innovative countries. Using an innovative approach to the st

This book was first published in 2004. In many applications, images, such as ultrasonic or X-ray signals, are recorded and then analyzed with digital or optical processors in order to extract information. Such processing requires the development of algorithms of great precision and sophistication. This book presents a unified treatment of the mathematical methods that underpin the various algorithms used in remote image formation. The author begins with a review of transform and filter theory. He then discusses two- and three-dimensional Fourier transform theory, the ambiguity function, image construction and reconstruction, tomography, baseband surveillance systems, and passive systems (where the signal source might be an earthquake or a galaxy). Information-theoretic methods in image formation are also covered, as are phase errors and phase noise. Throughout the book, practical applications illustrate theoretical concepts, and there are many homework problems. The book is aimed at gr

In this 1991 book, Hilbers discusses the general case of how to use processors simultaneously in order to solve a single problem rather than any specific application, and develops a theory independent of particular architectures. He starts by introducing distributed computing with graph theory, and considers processor networks and their price/performance ratios. He goes on to look at obtaining homogeneous distributions of work over networks and considers examples. Finally he discusses message routing within a processor network. This is intended to be a fundamental treatment of the relevant subjects and is aimed at computer scientists and graduate students in computer science who have experience with parallel processing: it will also be useful to others interested in processor networks.

This unified treatment of game theory focuses on finding state-of-the-art solutions to issues surrounding the next generation of wireless and communications networks. Future networks will rely on autonomous and distributed architectures to improve the efficiency and flexibility of mobile applications, and game theory provides the ideal framework for designing efficient and robust distributed algorithms. This book enables readers to develop a solid understanding of game theory, its applications and its use as an effective tool for addressing wireless communication and networking problems. The key results and tools of game theory are covered, as are various real-world technologies including 3G networks, wireless LANs, sensor networks, dynamic spectrum access and cognitive networks. The book also covers a wide range of techniques for modeling, designing and analysing communication networks using game theory, as well as state-of-the-art distributed design techniques. This is an ideal resou

The series "Advances in Intelligent and Soft Computing" contains publications on various areas within the so-called soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary

This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surf

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processingEmphasizing applications in bioinformatics and medical image processing, this text o

The book offers readers an understanding of the development of neural crest cells, which is crucial as many birth defects and tumours are of neural crest origin. The neural crest is a transient tissue

Created for those with a working knowledge of basic word processing, spreadsheet, and database software, USING COMPUTERS IN THE LAW OFFICE - ADVANCED takes you to the next level of proficiency with le

This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing w

This book addresses reliability and energy efficiency of on-chip networks using cooperative error control. It describes an efficient way to construct an adaptive error control codec capable of trackin

The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 I

Learn to create augmented reality apps using Processing open-source programming languageAugmented reality (AR) is used all over, and you may not even realize it. Smartphones overlay data onto live cam

Random walks, Markov chains and electrical networks serve as an introduction to the study of real-valued functions on finite or infinite graphs, with appropriate interpretations using probability theo

“Computing Networks” explores the core of the new distributed computing infrastructures we are using today: the networking systems of clusters, grids and clouds. It helps network designers and distri

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential su

The AdS/CFT correspondence is a powerful tool in studying strongly coupled phenomena in gauge field theories, using results from a weakly coupled gravity background studied in the realm of string theo

In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of thi

"Publicity" is the practice of using an individual's name, image, and reputation to promote products or to provide media coverage, often in gossip magazines and the tabloid press. Academics and practi

Neural Plasticity and Disorders of the Nervous System provides comprehensive coverage of the pathophysiology of neurological disorders emphasising those disorders where expression of plasticity is evident. Including the basis for the expression of neural plasticity; how reorganisation of the nervous system can cause hyperactivity in sensory systems producing central neuropathic pain, tinnitus and paresthesia; the role of little-known non-classical pathways in pain and sensory disorders and their subcortical connections; hyper- and hypoactivity of motor systems after injury, and the role of spinal reflexes and internal processing in the spinal cord. Phantom symptoms and disorders of nerves and associated disorders are discussed, along with disorders that can be cured by microvascular decompression operations. A detailed and comprehensive description of the organisation of pain circuits and sensory and motor nervous systems is also included. This 2006 text is aimed at students and gradua

The principal role gravity-driven water networks perform is a basic and vital one: deliver water from a higher elevation to a lower one using the force of gravity. It's a simple idea that is generall