
Computational Automation for Water Security
Enhancing Water Quality Management
- 1st Edition - February 27, 2025
- Imprint: Elsevier
- Editors: Ashutosh Kumar Dubey, Arun Lal Srivastav, Abhishek Kumar, Fausto Pedro Garcia Marquez, Dimitrios A Giannakoudakis
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 3 2 1 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 3 2 2 - 4
Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and ou… Read more
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- Offers a holistic understanding of the application of computational automation in water quality management
- Contains practical and unique updates to help learners how to apply computational techniques to address water quality challenges
- Provides a comprehensive and multidisciplinary perspective on water quality management
Preface
1. Introduction to Computational Automation in Water Quality Management
2. Real Time Water Quality Monitoring Systems
3. Automated Water Data Sampling: Enhancing Efficiency and Accuracy in Hydrological Analysis
4. Role of Data Processing and Analysis in water quality management
5. Machine Learning and Artificial Intelligence Applications in Automating Water Quality Monitoring, Analysis and Management
6. Significance of Automation in Water Treatment Processes
7. Real-time Control Systems for Water Supply chain and management
8. Integration of Automation and Internet of Things (IoT) for water security
9. Cybersecurity and Data Privacy in Automated Systems used in water quality management.
10. Cost-Benefit Analysis of Automation in Water Quality Management
11. Automation in Water Distribution Networks
12. Remote Sensing and Satellite Imagery for Water Quality Assessment
13. Case Studies: Successful Implementation of Automation for Water Quality Assessment
14. Future Trends and Emerging Technologies in water quality management
15. Challenges and Ethical Considerations in water Automation
- Edition: 1
- Published: February 27, 2025
- Imprint: Elsevier
- Language: English
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Ashutosh Kumar Dubey
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Arun Lal Srivastav
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Abhishek Kumar
Dr. Abhishek Kumar is Assistant Director and Associate Professor in the Department of Computer Science and Engineering at Chandigarh University, Punjab, India. He completed his PhD in computer science at the University of Madras (India), and previously worked as a post-doctorate fellow in computer science at Ingenium Research Group, based at the Universidad de Castilla-La Mancha in Spain. He has been teaching in academia for more than 13 years, and has over 160 publications in peer reviewed national and international journals, books, and conferences. His research area includes artificial intelligence, renewable energy applications, image processing, computer vision, data mining, and machine learning.
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Fausto Pedro Garcia Marquez
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