Yi Shi – författare

Written in a unique style, this book is a valuable resource for faculty, graduate students, and researchers in the communications and networking area whose work interfaces with optimization. It teaches you how various optimization methods can be applied to solve complex problems in wireless networks. Each chapter reviews a specific optimization method and then demonstrates how to apply the theory in practice through a detailed case study taken from state-of-the-art research. You will learn various tips and step-by-step instructions for developing optimization models, reformulations, and transformations, particularly in the context of cross-layer optimization problems in wireless networks involving flow routing (network layer), scheduling (link layer), and power control (physical layer). Throughout, a combination of techniques from both operations research and computer science disciplines provides a holistic treatment of optimization methods and their applications. Each chapter includes homework exercises, with PowerPoint slides and a solutions manual for instructors available online.

Neuromorphic Devices for Brain-inspired Computing: Artificial Intelligence, Perception, and RoboticsExplore the cutting-edge of neuromorphic technologies with applications in Artificial IntelligenceIn Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications.Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology's potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanismsComprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviorsPractical discussions of neuromorphic devices based on chalcogenide and organic materialsIn-depth examinations of neuromorphic computing and perceptual systems with emerging devicesPerfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.

Comprehensive reference on the use of single-element semiconductor materials, such as carbon, silicon, and others, in modern electronic devices Single Element Semiconductors discusses the preparation, properties, and applications of single-element semiconductor materials in modern electronic devices. Special attention is paid to the nanostructures which show great potential in the fields of energy, electronics, and sensing due to their unique physicochemical properties. Written by a highly qualified team of researchers, Single Element Semiconductors includes information on: Properties and fabrication of carbon nanomaterials, germanium, borophene, stanene, arsenene, and antimoneneSynthesis, self-assembly, and in-plane epitaxy of horizontal silicon nanowiresBlue, black, and violet phosphorus and the controlled synthesis of tellurium nanomaterialsMost suitable applications for each element semiconductor, including in photodetectors, solar cells, batteries, biomedical sensors, and photocatalysisSingle Element Semiconductors is an ideal reference for researchers and engineers seeking to advance the research and application development of single-element semiconductor materials.