Hui Lin Ong,
Ruey-an Doong,
Raouf Naguib,
Chee Peng Lim,
Atulya K. Nagar
e.a.
Springer Nature Singapore
e druk, 2023
9789811914362
Artificial Intelligence and Environmental Sustainability
Challenges and Solutions in the Era of Industry 4.0
Specificaties
Paperback, blz.
|
Engels
Springer Nature Singapore |
e druk, 2023
ISBN13: 9789811914362
Rubricering
Onderdeel van serie
Algorithms for Intelligent Systems
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.
Specificaties
ISBN13:9789811914362
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore
Inhoudsopgave
Artificial Intelligence in Pollution Control and Management: Status and Future Prospects.- Artificial Intelligence and Environmental Health: A Platform Ecosystem Perspective.- Artificial Intelligence in Real-time Rainfall-Runoff Modelling and Flood Forecasting.- Cross-Validation of Circular Economy Causal Network Maps.- Smart Cities Energy Trading Platform Based on a Multi-Agent Approach.- Near Real-time Fire Management and Environmental Sustainability: Towards a Machine Learning Approach to Monitor Oil Pipeline Spill Fires with MODIS Fire Products in Nigeria.- Application of Cloud-based Machine Learning Approach to Analyse Remotely Sensed Data for Coastal Monitoring in Bangladesh.- Commercial Photovoltaic Performance Optimization using Genetic Algorithms.- Artificial Intelligence in Wastewater Treatment Systems in the Era of Industry 4.0: A Holistic Review.- Rough set Approach to Pharmaceutical Process Waste Reduction.<p></p>
