Artificial Intelligence and Environmental Sustainability [electronic resource] Challenges and Solutions in the Era of Industry 4.0 / edited by Hui Lin Ong, Ruey-an Doong, Raouf Naguib, Chee Peng Lim, Atulya K. Nagar.
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 direct...
| Uniform Title: | Algorithms for Intelligent Systems,
2524-7573 |
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| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | Algorithms for Intelligent Systems,
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| Subjects: | |
| Online Access: | |
| Variant Title: |
Artificial Intelligence and Environmental Sustainability: Challenges and Solutions in the Era of Industry 4.0 |
| Format: | Electronic eBook |
Contents:
- 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.