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Condition: New. Author: Razmjou, AmirEdition: 1ISBN-13: 9780443289118Release Date: 31-01-2025Package Dimensions: 90 x 60 x 10 inchesLanguages: EnglishBinding: paperback.
Language: English
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323905080 ISBN 13: 9780323905084
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Paperback. Condition: Brand New. 260 pages. 9.00x6.00x1.00 inches. In Stock.
Language: English
Published by Elsevier Science Publishing Co Inc, 2025
ISBN 10: 0443289115 ISBN 13: 9780443289118
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Published by Elsevier Science & Technology Feb 2022, 2022
ISBN 10: 0323905080 ISBN 13: 9780323905084
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. 324 pp. Englisch.
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents tools, connections and proactive solutions to take sustainability programs to the next level Offers a practical guide for making students proficient in modern electronic data analysis and graphics Provides knowledge and b.
Language: English
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323905080 ISBN 13: 9780323905084
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Language: English
Published by Elsevier Science & Technology, Academic Press, 2022
ISBN 10: 0323905080 ISBN 13: 9780323905084
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.