Harnessing Artificial Intelligence / Machine Learning and IoT for Efficient Water Quality Monitoring and Membrane-Based Treatment

Harnessing Artificial Intelligence / Machine Learning and IoT for Efficient Water Quality Monitoring and Membrane-Based Treatment: Current Trends and Future Developments in Bio-Membranes delves into the transformative potential of advanced technologies for sustainable water management. The book integrates AI, machine learning, and IoT to present innovative methodologies for real-time water quality monitoring, efficient wastewater treatment, and optimization of water filter membranes. Readers will discover effective solutions that ensure access to safe and clean water, addressing the pressing global water crisis head-on. The book is structured into five key sections exploring critical themes. Section I investigates the application of AI and machine learning in optimizing desalination processes. Section II highlights the challenges of biofouling in water treatment systems, showcasing IoT-enabled solutions and green membrane innovations. Section III focuses on smart effluent management systems driven by real-time data and machine learning algorithms. Section IV discusses green energy integration in water treatment practices, while Section V addresses the automation in adsorption processes, emphasizing AI's role in enhancing efficiency and sustainability. Harnessing Artificial Intelligence / Machine Learning and IoT for Efficient Water Quality Monitoring and Membrane-Based Treatment: Current Trends and Future Developments in Bio-Membranes is an invaluable resource for researchers, engineers, water treatment professionals, and policymakers, equipping them with the knowledge and tools necessary to navigate the complexities of modern water management, fostering innovative approaches to ensure a sustainable future.