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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1. Smart sensing technologies for wastewater treatment plants
2. Recent advancement in antennas for environmental sensing
3. Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport
4. Language of Response Surface Methodology (RSM) as an experimental strategy for electrochemical wastewater treatment process optimization
5. Artificial intelligence and sustainability: Solutions to social and environmental challenges
6. Application of multi attribute decision making tools for site analysis of offshore wind turbines
7. Recent Advances of Image Processing Techniques in Agriculture
8. Applications of Swarm Intelligence in Environmental Sensing
9. Machine learning applications for developing sustainable construction materials
10. The AI-assisted removal process of contaminants in the aquatic environment
11. Recent progress in biosensors and data processing systems for wastewater monitoring and surveillance
12. Machine learning in surface plasmon resonance for environmental monitoring
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Presents high-level information on various sensing systems and data processing platforms for environmental monitoring
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 background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery
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Produktdetaljer
ISBN
9780323905084
Publisert
2022-02-14
Utgiver
Elsevier Science & Technology
Vekt
540 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
324