Artificial Intelligence and Data Science in Environmental Sensing

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Mohsen Asadnia (Senior Lecturer, Mechatronics-Biomechanics and an ARC DECRA Fellow, Macquarie University, Australia) Amir Razmjou (Senior Research Associate, University of New South Wales (UNSW), Australia)

Artificial Intelligence and Data Science in Environmental Sensing

Mohsen Asadnia (Senior Lecturer, Mechatronics-Biomechanics and an ARC DECRA Fellow, Macquarie University, Australia), Amir Razmjou (Senior Research Associate, University of New South Wales (UNSW), Australia), Amin Beheshti (Director of AI-enabled Processes (AIP) Research Centre and the head of the Data Analytics Research Lab, Department of Computing, Macquarie University, Sydney, Australia) , Amir Razmjou (Senior Research Associate, University of New South Wales (UNSW), Australia)

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English

Academic Press Inc
14 February 2022

Engineering: general; Robotics; Environmental science, engineering & technology; Artificial intelligence; Expert & knowledge-based systems

Series: Cognitive Data Science in Sustainable Computing

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.

Edited by: Mohsen Asadnia (Senior Lecturer Mechatronics-Biomechanics and an ARC DECRA Fellow Macquarie University Australia), Amir Razmjou (Senior Research Associate, University of New South Wales (UNSW), Australia), Amin Beheshti (Director of AI-enabled Processes (AIP) Research Centre and the head of the Data Analytics Research Lab, Department of Computing, Macquarie University, Sydney, Australia), Amir Razmjou (Senior Research Associate, University of New South Wales (UNSW), Australia), Amin Beheshti (Director of AI-enabled Processes (AIP) Research Centre and the head of the Data Analytics Research Lab, Department of Computing, Macquarie University, Sydney, Australia)
Imprint: Academic Press Inc
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 540g
ISBN: 9780323905084
ISBN 10: 0323905080
Series: Cognitive Data Science in Sustainable Computing
Pages: 324
Publication Date: 14 February 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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

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.