Artificial Intelligence and Data Science in Environmental Sensing

ISBN-13: 9780323905084 / Angielski / Miękka / 2022 / 324 str.

Mohsen Asadnia; Amir Razmjou; Amin Beheshti

Spis treści

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

O autorze

Mohsen Asadnia is an Associate Professor and group lader in Mechatronics-biomechanics and
at Macquarie University, Australia. He received his PhD degree in Mechanical Engineering
from Nanyang Technological University, Singapore. Prior to joining Macquarie University,
Mohsen had several teaching and research roles with the University of Western Australia,
Massachusetts Institute of Technology and Nanyang Technological University. His research
interest lies in environmental/ biomedical sensors, Artificial Intelligence, and bio-inspired
sensing. Amin Beheshti is a Full Professor of Data Science and the Director of AI-enabled Processes
(AIP) Research Centre, School of Computing, Macquarie University. Amin is also the head of
the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney.
Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW
Sydney and holds a Master and Bachelor in Computer Science both with First Class Honours.
He is the leading author of several authored books in data, social, and process analytics, co?authored with other high-profile researchers. Amin Beheshti is a Full Professor of Data Science and the Director of AI-enabled Processes (AIP) Research Centre, School of Computing, Macquarie University. Amin is also the head of the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW Sydney and holds a Master and Bachelor in Computer Science both with First Class Honours. He is the leading author of several authored books in data, social, and process analytics, co-authored with other high-profile researchers.