Verlag: Mittal Publications
ISBN 10: 9359992054 ISBN 13: 9789359992051
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Verlag: Mittal Publications, 2024
ISBN 10: 9359992054 ISBN 13: 9789359992051
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Hardcover. Zustand: New. The Book "Educational Sociology" gives insight with experiences, anecdotes, and social studies that can guide all learners how to break out of the shell and present themselves with confidence in all situations. The four-wall enclosure has also led to have access to an infinite number of resources we can use for our professional development, and career building. Nevertheless, books are still our desired medium for in- depth learning. We are confident that this book fulfils all social requirements and its wide circulation will definitely exert an important influence on the theory of Education.
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Taschenbuch. Zustand: Neu. The Political Economy of Corruption | Chandan Kumar Jha (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Routledge | EAN 9780367695644 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
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hardcover. Zustand: Fine.
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Taschenbuch. Zustand: Neu. Computational Intelligence in Sensor Networks | Bijan Bihari Mishra (u. a.) | Taschenbuch | Studies in Computational Intelligence | xiv | Englisch | 2019 | Springer | EAN 9783662585948 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 504 | Sprache: Englisch | Produktart: Bücher | This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2019
ISBN 10: 3662585944 ISBN 13: 9783662585948
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.
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In den WarenkorbHardcover. Zustand: Brand New. 264 pages. 9.19x6.13x0.79 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 504 pages. 9.49x6.30x1.26 inches. In Stock.
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