Roopa B. Hegde – författare
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2 produkter
2 produkter
Häftad, Engelska, 2027
2 312 kr
Kommande
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.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 systemsExplores the use of IoT devices for the continuous collection and transmission of water quality data, enabling prompt responses and long-term trend analysisAnalyzes innovative membrane materials and technologies utilized in water purification, focusing on their design, functionality, and advantagesShowcases practical applications and case studies that highlight the success of integrating membrane technology with AI and IoT for improved water treatment solutions
Inbunden, Engelska, 2026
2 879 kr
Kommande
Peripheral blood smear (PBS) analysis is a critical diagnostic tool for diseases including malaria, leukemia, and cancer. This monograph addresses the key challenges associated with image analysis of PBS images and highlights innovative systems that automate the identification of specific pathologies.It reviews state-of-the-art algorithms for segmentation, color representation and normalization, image enhancement and restoration, and volume visualization, as well as relevant AI and machine learning techniques. The book also explains automated systems and workflows developed to address specific disease classes, supported by detailed case studies.Key Features:• Covers fundamental and advanced aspects of image analysis in the hematological field• Focuses on blood cell segmentation and classification, along with practical guidelines for implementation• Explores current challenges in integrating these technologies into real-world clinical settings• Discusses ethical considerations and challenges associated with automation in medical diagnosis• Includes relevant MATLAB and Python code, along with case studies on the segmentation of erythrocytes (RBCs) and leukocytes (WBCs)This book is aimed at graduate students and researchers in bioengineering and image processing, as well as clinicians.