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Artificial intelligence and data science in environmental sensing
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
2022.
|
| Colección: | Cognitive data science in sustainable computing.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ia 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_on1296405187 | ||
| 003 | OCoLC | ||
| 005 | 20231120010632.0 | ||
| 006 | m o d | ||
| 007 | cr un|---aucuu | ||
| 008 | 220212s2022 enka ob 001 0 eng d | ||
| 040 | |a YDX |b eng |c YDX |d OPELS |d EBLCP |d OCLCO |d OCLCF |d N$T |d MUU |d OCLCO |d OCLCQ |d UPM |d OCLCQ |d NWQ |d OCLCO | ||
| 019 | |a 1296418197 |a 1296532681 | ||
| 020 | |a 9780323905077 |q (electronic bk.) | ||
| 020 | |a 0323905072 |q (electronic bk.) | ||
| 020 | |z 9780323905084 | ||
| 035 | |a (OCoLC)1296405187 |z (OCoLC)1296418197 |z (OCoLC)1296532681 | ||
| 050 | 4 | |a GE45.R44 | |
| 082 | 0 | 4 | |a 363.7063028563 |2 23 |
| 245 | 0 | 0 | |a Artificial intelligence and data science in environmental sensing |h [electronic resource] / |c edited by Mohsen Asadnia [and more]. |
| 260 | |a London : |b Academic Press, |c 2022. | ||
| 300 | |a 1 online resource (xviii, 305 pages) |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Cognitive data science in sustainable computing | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Smart sensing technologies for wastewater treatment plants -- |t Advancements and artificial intelligence approaches in antennas for environmental sensing -- |t Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport -- |t Language of response surface methodology as an experimental strategy for electrochemical wastewater treatment process optimization -- |t Artificial intelligence and sustainability: solutions to social and environmental challenges -- |t Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines -- |t Recent advances of image processing techniques in agriculture -- |t Tuning swarm behavior for environmental sensing tasks represented as coverage problems -- |t Machine learning applications for developing sustainable construction materials -- |t The AI-assisted removal and sensor-based detection of contaminants in the aquatic environment -- |t Recent progress in biosensors for wastewater monitoring and surveillance -- |t Machine learning in surface plasmon resonance for environmental monitoring. |
| 520 | |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. | ||
| 650 | 0 | |a Environmental monitoring |x Remote sensing |x Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Artificial Intelligence |0 (DNLM)D001185 | |
| 650 | 6 | |a Environnement |0 (CaQQLa)201-0019669 |x Surveillance |0 (CaQQLa)201-0019669 |x T�el�ed�etection |0 (CaQQLa)201-0380277 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Intelligence artificielle. |0 (CaQQLa)201-0008626 | |
| 650 | 7 | |a artificial intelligence. |2 aat |0 (CStmoGRI)aat300251574 | |
| 650 | 7 | |a Artificial intelligence |2 fast |0 (OCoLC)fst00817247 | |
| 700 | 1 | |a Asadnia, Mohsen. | |
| 776 | 0 | 8 | |i Print version: |z 9780323905077 |
| 776 | 0 | 8 | |i Print version: |z 0323905080 |z 9780323905084 |w (OCoLC)1265457479 |
| 830 | 0 | |a Cognitive data science in sustainable computing. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780323905084 |z Texto completo |