eBook, PDF

The AI Cleanse: Transforming Wastewater Treatment Through Artificial Intelligence (eBook, PDF)

Harnessing Data-Driven Solutions

Redaktion: Garg, Manoj Chandra

Beschreibung

This groundbreaking book goes beyond conventional approaches and explores how AI is revolutionizing the field of wastewater treatment, offering innovative solutions to pressing challenges. "The AI Cleanse" takes you on a captivating journey through the convergence of AI and wastewater treatment, revealing the potential for enhanced efficiency, effectiveness, and sustainability. From optimizing treatment processes to intelligent monitoring and fault detection, this book showcases how AI-driven technologies can reshape the way we approach wastewater treatment.

Gain a comprehensive understanding of the basics of wastewater treatment and the limitations of traditional methods. Explore the practical applications of AI, such as data acquisition and analysis, process optimization, and resource recovery. Learn about cutting-edge technologies, emerging trends, and future directions in the field.

Written in a reader-friendly style, "The AI Cleanse" bridges the gap between theoretical knowledge and practical implementation. Packed with real-world examples, case studies, and insights from experts in the field, this book equips researchers, professionals, and students with the knowledge needed to harness the full potential of AI in wastewater treatment.

If you are passionate about environmental preservation, sustainable practices, and the power of technology, "The AI Cleanse" is your guide to unlocking the transformative potential of artificial intelligence in wastewater treatment. Embrace a cleaner future and be at the forefront of this revolution in the field.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 13MB

Barrierefreiheit

• Text-to-Speech

Autor

Dr. Manoj Chandra Garg is an accomplished researcher and academician in the field of environmental science and engineering. He has a diverse range of research interests, including water quality, membrane filtration (reverse osmosis, nanofiltration, forward osmosis), solar desalination, water and wastewater treatment, biosorption, machine learning, and optimization. Dr. Garg holds a Ph.D. in Environmental Science and Engineering from the prestigious Indian Institute of Technology (IIT), Roorkee. His doctoral research focused on the performance evaluation of solar photovoltaic-assisted nanofiltration and reverse osmosis membrane water treatment systems. He also holds an M. Tech. degree in Environmental Science and Technology from Thapar University, Patiala, Punjab where he earned a university gold medal. With an impressive research background, Dr. Garg has contributed significantly to his field. He has completed a funded research project under the DST, SERB, India. He is also the author of numerous international journal publications. Additionally, he has authored several book chapters published by renowned international and national publishers. Dr. Garg has presented his research findings in many conferences, both at the national and international levels. Dr. Garg's contributions have been recognized with several awards and appreciations throughout his career. He has received international travel grants from the Department of Science and Technology (DST) and has been awarded gold medals for his academic achievements. Furthermore, Dr. Garg has actively participated in academic events and professional activities. He has organized symposiums and delivered guest lectures on topics related to his expertise. He is a life member of professional bodies such as the Indian Desalination Association, Indian Membrane Society, and the International Association of Engineers etc. Overall, Dr. Manoj Chandra Garg is a highly accomplished and dedicated researcher, educator, and administrator in the field of environmental science and engineering.

Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 384
• Erscheinungstermin: 20. August 2024
• Englisch
• ISBN-13: 9783031672378
• Artikelnr.: 71977742