There have been major recent advances in robotic systems that can replace humans in undertaking hazardous activities in demanding or dangerous environments.
Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices.
This handbook gives readers a close look at the entire technology of printing very high resolution and high density integrated circuit (IC) patterns into thin resist process transfer coatingsuincluding optical lithography, electron beam, ion beam, and x-ray lithography.
The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market.
Ionizing Radiation Effects in Electronics: From Memories to Imagers delivers comprehensive coverage of the effects of ionizing radiation on state-of-the-art semiconductor devices.
Engineering Swarms for Cyber-Physical Systems covers the whole design cycle for applying swarm intelligence in Cyber-Physical Systems (CPS) and guides readers through modeling, design, simulation, and final deployment of swarm systems.
Dieses Buch beschreibt die Rolle des Magnetismus in der Elektrotechnik, ausgehend von den grundlegendsten physikalischen Gesetzen, die in Simulationsmodelle umgewandelt wurden.
The book presents a top-down circuit description for the implementation of asynchronous vision sensors based on Single-Photon Avalanche Diodes (SPADs).
This book focuses on a subtopic of explainable AI (XAI) called explainable agency (EA), which involves producing records of decisions made during an agent's reasoning, summarizing its behavior in human-accessible terms, and providing answers to questions about specific choices and the reasons for them.
REA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced.
Electronics for Scientists provides a practical and concise introduction to electrical circuits, signals, and instrumentation for undergraduate students in the physical sciences.
Transform Lives with Cutting-Edge AIDive into a revolutionary exploration of how artificial intelligence is reshaping the lives of people with disabilities.
A revolutionary new framework that draws on insights from ecology for the design and analysis of long-duration robotsRobots are increasingly leaving the confines of laboratories, warehouses, and manufacturing facilities, venturing into agriculture and other settings where they must operate in uncertain conditions over long timescales.
Hailed by the Washington Post as "e;a sure-footed and witty guide to slippery ethical terrain,"e; a philosophical exploration of AI and the future of the mind that Astronomer Royal Martin Rees calls "e;profound and entertaining"e;Humans may not be Earth's most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy!
This valuable little book offers a thorough introduction to the open-source electronics prototyping platform that's taking the design and hobbyist world by storm.
"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.
"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.
Learn how to architect ultra low power robust electronics and how bio-inspired principles can revolutionize low power electronics design with this all-inclusive guide.
Learn how to architect ultra low power robust electronics and how bio-inspired principles can revolutionize low power electronics design with this all-inclusive guide.
Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use.