Häftad, Engelska, 2028
Harnessing Artificial Intelligence / Machine Learning and IoT for Efficient Water Quality Monitoring and Membrane-Based Treatment
Current Trends and Future Developments in Bio-Membranes
Av Arun M. Isloor, Angelo Basile, Roopa B. Hegde, Sneha Nayak, Amir Al-Ahmed
3143 kr
Kommande
Beskrivning
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.
- Investigates the application of AI and machine learning algorithms for real-time prediction and detection of water quality issues, enhancing the precision and effectiveness of monitoring systems
- Explores the use of IoT devices for the continuous collection and transmission of water quality data, enabling prompt responses and long-term trend analysis
- Analyzes innovative membrane materials and technologies utilized in water purification, focusing on their design, functionality, and advantages
- Showcases practical applications and case studies that highlight the success of integrating membrane technology with AI and IoT for improved water treatment solutions
Produktinformation
- Utgivningsdatum: 2028-03-01
- Mått: 191 x 235 x undefined mm
- Vikt: 450 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 425
- Förlag: Elsevier Science
- ISBN: 9780443445187
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Mer om författaren
Arun M. Isloor is a Fellow of Royal Society of Chemistry and serving as a Professor in the Department of Chemistry, National Institute of Technology Karnataka, India, since last 16 years. His research interests includes Membrane technology, Nanomaterials, Medicinal Chemistry & Polymer chemistry. Angelo Basile is a Full Professor and a leading authority in membrane science and technology. Since 2014, he has served as Full Professor in Systems, Methods and Technologies of Chemical Engineering Processes at CNR-ITM in Rende, Italy. His work covers hydrogen purification and production using membrane reactors, CO₂ capture, process intensification, and the treatment of industrial effluents with advanced membrane operations. Basile has edited many scientific books and authored numerous book chapters, bridging complex research with clear knowledge for engineers and scientists. Motivated by the role of AI/ML in accelerating membrane process design and automation, he supports integrating data-driven methods for smart plants and reaction–separation optimisation. Dr. Roopa B Hegde is an Associate Professor in the Department of Electronics and Communication Engineering at NITTE (Deemed to be University), NMAM Institute of Technology. Her expertise spans image processing, medical device development, pattern recognition, machine learning, and deep learning. A life member of the Indian Society for Technical Education (ISTE), she has received funding from the Karnataka State Council for Science and Technology and holds multiple patents. Dr. Hegde has been recognized for her research contributions, receiving awards such as the Best Paper Award at VSPICE 2020. She has numerous publications in esteemed international journals and conferences. Dr. Sneha Nayak is an assistant Professor at NMAM Institute of Technology, Nitte deemed to be University, Nitte, specialized in the field of Nanobiotechnology. Her research interests varies from green synthesis of metallic nanoparticles for environmental remediation applications to formulation of a herbal shampoo which aims at reaching out the shampoo benefits to a larger crowd. Dr. Sneha Nayak is a recipient of Research grant for scientist faculty (RGS/F) grant of Rs 500000 from VGST GoK for the year 2017-18 for the project entitled “Biosynthesis of nanoparticles and its application in detection of heavy metals in water samples and effluents. She has published her research work in leading journals such as Bioresource Technology, Food and chemical Toxicology and marine pollution bulletin. Amir Al Ahmed is working as a Research Scientist-I in the IRC-Renewable Energy and Power Systems (IRC-REPS), at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia. He completed his Ph.D. (2003) degree in Applied Chemistry from the Department of Applied Chemistry, AMU, India, followed by three consecutive postdoctoral fellowships in South Africa and Saudi Arabia. During this period, he worked on various multidisciplinary projects, in particular, conducting polymer, electrochemical sensors, nano-materials, polymeric membranes, electro-catalysis and solar cells. At present, his research activity is fundamentally focused on 3rd generation solar cell devices, such as, low band gap semiconductors, quantum dots, perovskites, and silicon nanowire based tandem cells. At the same time, he is also having projects on energy storage technologies, such as, electricity, hydrogen (in porous materials) and heat. He has worked on different NSTIP, KACST and Saudi Aramco funded projects in the capacity of a principle and co-investigator. Dr. Amir has 8 US patents.
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