Context-Aware Pervasive Systems, Loke

Автор: Marco Mamei; Franco Zambonelli
Название: Field-Based Coordination for Pervasive Multiagent Systems
ISBN: 3642066232 ISBN-13(EAN): 9783642066238
Издательство: Springer
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Цена: 130430.00 T
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Описание: More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications.

Автор: Kolomvatsos Kostas
Название: Intelligent Technologies and Techniques for Pervasive Comput
ISBN: 1466640383 ISBN-13(EAN): 9781466640382
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: <em>Intelligent Technologies and Techniques for Pervasive Computing</em> provides an extensive discussion of such technologies, theories and practices in an attempt to shed light on current trends and issues in the adaption of pervasive systems. Within its pages, students and practitioners of computer science will find both recent developments and practical applications—an overview of the field and how intelligent techniques can help to improve user experience in the distribution and consumption of pertinent, timely information. This book is part of the <em>Advances in Computational Intelligence and Robotics</em> series collection.

Автор: Liming Chen; Chris D. Nugent; Jit Biswas; Jesse Ho
Название: Activity Recognition in Pervasive Intelligent Environments
ISBN: 9491216406 ISBN-13(EAN): 9789491216404
Издательство: Springer
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Цена: 111790.00 T
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Описание: The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation.

Автор: Lewis
Название: Self-aware Computing Systems
ISBN: 3319396749 ISBN-13(EAN): 9783319396743
Издательство: Springer
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Цена: 102480.00 T
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Описание: Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions.This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.

Автор: Curran
Название: Recent Advances In Ambient Intelligence And Context-Aware Computing
ISBN: 1466672846 ISBN-13(EAN): 9781466672840
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
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Описание: Modern devices, from phones and cars to houses and the appliances within them, are being designed with formidable computational power and expanded functionality. To be truly effective, these smart devices must effectively process data from their environment and experiences and make decisions based on that information.Recent Advances in Ambient Intelligence and Context-Aware Computing investigates the functionality of ubiquitous computational systems and how they may adapt to their environment to improve the quality of interaction for the end-user. This reference book will be of value to under- and post-graduate students, professionals, and researchers networking, computer science, communications, and other information technology disciplines.

Автор: Steffen Rendle
Название: Context-Aware Ranking with Factorization Models
ISBN: 3642423973 ISBN-13(EAN): 9783642423970
Издательство: Springer
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Цена: 104480.00 T
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Описание: Context-aware ranking is an important task in search engine ranking. This book presents a generic method for context-aware ranking as well as its application. It applies this general theory to the three scenarios of item, tag and sequential-set recommendation.