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This text brings to vision research a treatment different from that often found in books on the subject in its emphasis on nonlinear aspects of vision, from human perception to eye cells of the fly. There is considerable emphasis on mathematics, which forms not only models but the algorithms for processing data.
Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering contains a wealth of information on colleges and universities that offer graduate work these exciting fields. The profiled institutions include those in the United States, Canada and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements...
This book develops the device physics of the Si and III-V compound semiconductor devices used in integrated circuits. Important equations are derived from basic physical concepts. The physics of these devices are related to the parameters used in SPICE. Terminology is intended to prepare students for reading technical journals on semiconductor devices. This text is suitable for first-year graduate students and seniors in Electrical Engineering; graduate students in Material Science and Chemical Engineering, interested in semiconductor materials; Computer Science students interested in custom VLSI design; and professionals in the semiconductor industry.
The title of this book, Plasmonics: Principles and Applications, encompasses theory, technical issues, and practical applications which are of interest for diverse classes of the plasmonics. The book is a collection of the contemporary researches and developments in the area of plasmonics technology. It consists of 21 chapters that focus on interesting topics of modeling and computational methods, plasmonic structures for light transmission, focusing, and guiding, emerging concepts, and applications.
Even before it was identified as a science and given a name, nanotechnology was the province of the most innovative inventors. In medieval times, craftsmen, ingeniously employing nanometer-sized gold particles, created the enchanting red hues found in the gold ruby glass of cathedral windows. Today, nanomaterials are being just as creatively used to improve old products, as well as usher in new ones. From tires to CRTs to sunscreens, nanomaterials are becoming a part of every industry. The Nanomaterials Handbook provides a comprehensive overview of the current state of nanomaterials. Employing terminology familiar to materials scientists and engineers, it provides an introduction that delves...
The combination of conductive polymer technology with the ability to produce nanofibres will facilitate major new developments in biotechnology and information technology, benefiting such areas as scaffolds for tissue engineering and drug delivery systems; wires, capacitors, transistors and diodes; sensor technology; biohazard protection; and energy transport, conversion and storage. The work on nanofibrous materials presented here is designed, first of all, to instruct scientists in the most advanced methods for the formation of nanofibres and nanotubes. The second section covers the physics and chemistry of nanofibres, while the third deals with computer simulation and modelling. The applications described in section 4 include biomedical applications, nanotube-based devices, electronic applications of nanotubes and nanofibres, nanofluidics, and composites. Finally, the fifth section discusses recent developments in nanomaterials, nanoparticles and nanostructures.
Sensory information is detected and transformed by sensory neural networks before reaching higher levels of processing. These networks need to perform significant processing tasks while being compatible with the following levels. Lateral inhibition is a mechanism of local neuronal interaction that produces significant global properties. This book discusses those sensory neural networks influenced by nonlinear lateral inhibition. It features biological bases of lateral inhibition models, computational properties of these models that stress their short term adaptive behavior, their relation to recent activity in neural networks and connectionist systems, their use for image processing applicat...
The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.
Size, Shape, and Synthesis Key toTuning Properties The discovery and rapid evolution of carbon nanotubes have led to a vastly improved understanding of nanotechnology, as well as dozens of possible applications for nanomaterials of different shapes and sizes ranging from composites to biology, medicine, energy, transportation, a