Image Processing Using Pulse-Coupled Neural Networks

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for resear

Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dyna

The third edition of Optical Networks continues to be the authoritative source for information on optical networking technologies and techniques. Componentry and transmission are discussed in detail w

In his groundbreaking new study of the Swiss reformer, Randall C. Zachman reveals and analyzes John Calvin's understanding of image and word both comprehensively and chronologically, with a

Networks are thriving in global politics. Some bring policy-makers from different countries together to share problems and to forge possible solutions, free from rules of representation, decision-mak

This book constitutes the proceedings of the Third International Conference on GeoSensor Networks, GSN 2009, held in Oxford, UK, on July 13-14, 2009. The 15 contributions presented together with 2 inv

Gilles Deleuze: Image and Text focuses on the intersection between Deleuzian philosophy and the arts. Deleuze combined exceptionally rigorous in

Communication networks and distributed system technologies are undergoing rapid advancements. The last few years have experienced a steep growth in research on different aspects in these areas. Even t

What matters in understanding digital media? Is looking at the external appearance and audience experience of software enough—or should we look further? In Expressive Processing, Noah Wardrip-F

Harry Widman: Image, Myth, and Modernism chronicles the life and times of the highly regarded Portland painter and teacher, who taught for 36 years at the Pacific Northwest College of Art (formerly th

Microgrids and Active Distribution Networks offer a potential solution for sustainable, energy-efficient power supply to cater for increasing load growth, supplying power to remote areas, generation o

This volume features papers from the Controlled Processing of Nanoparticle Structures and Composites symposia held during the 2008 Materials Science and Technology conference (MS&T08). It provides a u

In celebration of the twentieth year of Image Journal, Eerdmans presents an anthology of the best of Image?s pages over two decades?writing and visual art that highlight the rich and ongoing legacy of

All you need to know about Storage Area Networks The amount of data of an average company doubles every year. Thus, companies who own 1TB of data today will own 32TB in five years. Storage networks h

The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.

Terrorist organizations and international criminal networks pose an increasingly severe danger to US security. Who are these rivals who threaten us? What do they want to achieve? This boo

This book presents the information necessary to design food processing operations and describes the equipment needed to carry them out in detail. It covers every step in the sequence of converting raw

This excellent reference provides detailed analysis and optimization aspects of live 3G mobile communication networksVideo and Multimedia Transmissions over Cellular Networks describes the state-of-th

This handbook describes advances in large scale network studies that have taken place in the past 5 years since the publication of the Handbook of Graphs and Networks in 2003. It covers all aspects of

Through 17 chapters, this book presents the principle of many advanced biosignal processing techniques. After an important chapter introducing the main biosignal properties as well as the most recent

This book constitutes the refeered proceedings of the 21st International Conference on Information Processing in Medical Imaging, IPMI 2009, held in Williamsburg, VA, USA, in July 2009The 26 revised f

A guide to writing Web applications covers such topics as tokenizing text, lagging part of speech, the Semantic Web, and natural language processing.

This book is a history of commercial broadcast radio networks in the United States from the 1920s to the present. It covers the four transcontinental webs that operated during the pre-television Gold

This book presents scheduling models for parallel processing, problems defined on the grounds of certain scheduling models, and algorithms solving the scheduling problems. The book also provides help

This book offers a complete introduction to natural language processing, the key technology used in Web search engines, predictive text, and more.

This highly illustrated book/CD-ROM provides a global survey of the field of biomedical image-guided therapy. Part I offers a historical view of interventional medicine and conventional surgery, from

Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of dat

A unified treatment of the vulnerabilities that exist in real-world network systems—with tools to identify synergies for mergers and acquisitions Fragile Networks: Identifying Vulnerabilities and Syn

Signals, Systems, Transforms, and Digital Signal Processing with MATLABR has as its principal objective simplification without compromise of rigor. Graphics, called by the author, "the language of s

Principles of Transaction Processing is a clear, concise guide for anyone involved in developing applications, evaluating products, designing systems, or engineering products. This book provides an un

Networks in Telecommunications addresses fundamental issues in discussions of regulatory policy by offering an integrated framework for understanding the economics and law of networks. It extends theories on network design associated with the mathematics of graph theory, which provides insights into the complex, systemic interrelationship between network components. It also applies the principles of transaction cost economics to analyze decisions about the appropriate boundaries of proprietary network architecture. The book introduces network theory to the study of the economics and law of telecommunications. The discussion opens up the black box of the cost function in telecommunications. The analysis also goes beyond the 'network externalities' approach that focuses primarily on the size of networks. The book highlights the effects of network architecture and the tradeoffs inherent in network design.

Networks in Telecommunications addresses fundamental issues in discussions of regulatory policy by offering an integrated framework for understanding the economics and law of networks. It extends theories on network design associated with the mathematics of graph theory, which provides insights into the complex, systemic interrelationship between network components. It also applies the principles of transaction cost economics to analyze decisions about the appropriate boundaries of proprietary network architecture. The book introduces network theory to the study of the economics and law of telecommunications. The discussion opens up the black box of the cost function in telecommunications. The analysis also goes beyond the 'network externalities' approach that focuses primarily on the size of networks. The book highlights the effects of network architecture and the tradeoffs inherent in network design.

This book defines social networking and social capital and helps you understand the relationship between them. Learn how to leverage the logic and structure of social networks through extensive discus

Gilles Deleuze: Image and Text focuses on the intersection between Deleuzian philosophy and the arts. Deleuze combined exceptionally rigorous in

Since publication of the first edition of Sensor Array Signal Processing in 2000, the field it heralded has come of age. Sensor arrays helped usher in the age of wireless communication by meeting the

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Networks for Grid Applications, GridNets 2008, held in Beijing, China in October 200

The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical

A state-of-the-art survey that reports on the progress made in selected areas of this important and growing field, aiding the analysis of existing networks and the design of new and more efficient alg

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when us

Dynamic Learning Networks: Models and Cases In Action represents an attempt to provide a network perspective of organizational learning to drive dynamic competition through extended firm learning pro