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Taschenbuch. Condition: Neu. Understanding Wireless Sensor Networks | an Algorithmic Perspective | Uthayakumar J. | Taschenbuch | 176 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200322623 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Add to basketGebunden. Condition: New. KlappentextrnrnGreen manufacturing has developed into an essential aspect of contemporary manufacturing practices, calling for environmentally friendly and sustainable techniques. Implementing successful green manufacturing processes not only im.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The advanced technological developments lead to the design and implementation of inexpensive, low powered, multi-operational sensors which are compact in nature. The sensors in WSN communicate with one another through a wireless medium. The significantly rising abilities of the compact sensors comprised of sensing, processing and communicating unit and are realized in WSN by a massive number of nodes. 176 pp. Englisch.
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Published by LAP LAMBERT Academic Publishing, 2020
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: J. UthayakumarUthayakumar J. holds his Ph.D. from the Dept. of Computer Science, Pondicherry University, India. His areas of interest are Data Compression, Digital Image Processing, Image Quality Assessment, Financial Crisis Predicti.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Green manufacturing has developed into an essential aspect of contemporary manufacturing practices, calling for environmentally friendly and sustainable techniques. Implementing successful green manufacturing processes not only improves business efficiency and competitiveness but also reduces harmful production in the environment. The Handbook of Research on Green Engineering Techniques for Modern Manufacturing provides emerging perspectives on the theoretical and practical aspects of green industrial concepts, such as green supply chain management and reverse logistics, for the sustainable utilization of resources and applications within manufacturing and engineering. Featuring coverage on a broad range of topics such as additive manufacturing, integrated manufacturing systems, and machine materials, this publication is ideally designed for engineers, environmental professionals, researchers, academicians, managers, policymakers, and graduate-level students seeking current research on recent and sustainable practices in manufacturing processes.