Description



Table of Contents
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

Artificial Intelligence and Data Science in Environmental Sensing

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    £999.99

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    A Paperback by Mohsen Asadnia, Amir Razmjou, Amin Beheshti

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      View other formats and editions of Artificial Intelligence and Data Science in Environmental Sensing by Mohsen Asadnia

      Publisher: Elsevier Science
      Publication Date: 2/14/2022 12:00:00 AM
      ISBN13: 9780323905084, 978-0323905084
      ISBN10: 0323905080

      Description



      Table of Contents
      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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