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240701 ||| eng |
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|a 9780323905077
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| 050 |
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4 |
|a GE45.R44
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| 100 |
1 |
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|a Asadnia, Mohsen
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| 245 |
0 |
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|a Artificial intelligence and data science in environmental sensing
|h [electronic resource]
|c edited by Mohsen Asadnia [and more]
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| 260 |
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|a London
|b Academic Press
|c 2022
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| 300 |
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|a xviii, 305 pages
|b illustrations
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a Artificial intelligence / fast
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| 653 |
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|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Environnement / Surveillance / Télédétection / Informatique
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| 653 |
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|a Intelligence artificielle
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| 653 |
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|a artificial intelligence / aat
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| 653 |
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|a Environmental monitoring / Remote sensing / Data processing
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
0 |
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|a Cognitive data science in sustainable computing
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| 776 |
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|z 0323905072
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| 776 |
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|z 9780323905084
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| 776 |
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|z 9780323905077
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9780323905077/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 363.7063028563
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| 520 |
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|a 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
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