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Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032866535 ISBN 13: 9781032866536
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Condition: New. Ram Kumar Chenthur Pandian is the Director IQAC and Professor ECE at Sri Krishna College of Technology (An Autonomous Institution), Coimbatore since 2023. He has over 10 years of teaching and research experience in department of BME, Dr NGP Instit.
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Published by Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032866535 ISBN 13: 9781032866536
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Buch. Condition: Neu. Neuware - The integration of AI in detecting autism holds promise for early intervention, personalized treatment plans, enhanced accuracy, and improved outcomes for individuals on the autism spectrum.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Solid waste management has become a significant global concern, particularly in maintaining and preserving value in solid waste resources. Local socio-economic disparities create various demands for sustainable solid waste management, leading to a wide range of waste reduction, recovery, and recycling solutions. This highlights the importance of accurately interpreting new policies within the framework of the circular economy. Accordingly, the title of this book is Solid Waste Management: Sustainable Environmental Practices and the Circular Economy. This book contains chapters on contemporary research that focuses on innovative technologies, concepts, models, and tools for sustainable solid waste management, as sustainable environmental practices and the circular economy have garnered increasing interest. This volume seeks to enhance scientific potential in the field of sustainable waste management by publishing cutting-edge theoretical and experimental studies that will advance our understanding of green technologies for sustainable solid waste management systems, aligned with the principles of sustainable environmental practices and the circular economy.
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Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032866535 ISBN 13: 9781032866536
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Hardcover. Condition: new. Hardcover. The integration of AI in detecting autism holds promise for early intervention, personalized treatment plans, enhanced accuracy, and improved outcomes for individuals on the autism spectrum.The book discusses the use of AI in detecting autism spectrum disorder (ASD). AI analyses behavioral patterns, speech, and cognitive responses. Machine learning algorithms are used to identify potential markers of ASD. AI can process vast amounts of data, including social interactions, facial expressions, and language nuances to help arrive at a diagnosis that would otherwise not be possible. AI-driven tools like natural language processing, computer vision, and predictive analytics provide objective assessments. These assessments complement traditional diagnostic methods, offer more accurate and efficient evaluations. Further, AI assists data analysis models in identifying unnoticeable behavioral signals that might normally escape detection by human observation, enhancing the precision of ASD diagnosis. Covering AI applications in detection, diagnosis, and life support, the book highlights how technology is reshaping autism care and research.Key Features:Investigates recent research on AI based autism diagnosis modelsExplores various ML models for diagnosis using behaviour analysis, speech analysisReviews various AI models for clinical data analysisInvestigates early prediction toolsExplores tools for assisting and parental care Explores how AI is transforming the way autism is understood and supported. From early detection and diagnosis to tools that improve daily life, this book highlights how AI works alongside traditional methods to create more accurate, personalized, and supportive care for individuals with autism. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032866535 ISBN 13: 9781032866536
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Hardcover. Condition: new. Hardcover. The integration of AI in detecting autism holds promise for early intervention, personalized treatment plans, enhanced accuracy, and improved outcomes for individuals on the autism spectrum.The book discusses the use of AI in detecting autism spectrum disorder (ASD). AI analyses behavioral patterns, speech, and cognitive responses. Machine learning algorithms are used to identify potential markers of ASD. AI can process vast amounts of data, including social interactions, facial expressions, and language nuances to help arrive at a diagnosis that would otherwise not be possible. AI-driven tools like natural language processing, computer vision, and predictive analytics provide objective assessments. These assessments complement traditional diagnostic methods, offer more accurate and efficient evaluations. Further, AI assists data analysis models in identifying unnoticeable behavioral signals that might normally escape detection by human observation, enhancing the precision of ASD diagnosis. Covering AI applications in detection, diagnosis, and life support, the book highlights how technology is reshaping autism care and research.Key Features:Investigates recent research on AI based autism diagnosis modelsExplores various ML models for diagnosis using behaviour analysis, speech analysisReviews various AI models for clinical data analysisInvestigates early prediction toolsExplores tools for assisting and parental care Explores how AI is transforming the way autism is understood and supported. From early detection and diagnosis to tools that improve daily life, this book highlights how AI works alongside traditional methods to create more accurate, personalized, and supportive care for individuals with autism. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Elsevier Science Publishing Co Inc, San Diego, 2026
ISBN 10: 0443313687 ISBN 13: 9780443313684
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Published by Springer Verlag GmbH, 2025
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ISBN 10: 3031784197 ISBN 13: 9783031784194
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Solid waste management has become a significant global concern, particularly in maintaining and preserving value in solid waste resources. Local socio-economic disparities create various demands for sustainable solid waste management, leading to a wide range of waste reduction, recovery, and recycling solutions. This highlights the importance of accurately interpreting new policies within the framework of the circular economy. Accordingly, the title of this book is Solid Waste Management: Sustainable Environmental Practices and the Circular Economy. This book contains chapters on contemporary research that focuses on innovative technologies, concepts, models, and tools for sustainable solid waste management, as sustainable environmental practices and the circular economy have garnered increasing interest. This volume seeks to enhance scientific potential in the field of sustainable waste management by publishing cutting-edge theoretical and experimental studies that will advance our understanding of green technologies for sustainable solid waste management systems, aligned with the principles of sustainable environmental practices and the circular economy. 484 pp. Englisch.
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Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032866535 ISBN 13: 9781032866536
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Hardcover. Condition: new. Hardcover. The integration of AI in detecting autism holds promise for early intervention, personalized treatment plans, enhanced accuracy, and improved outcomes for individuals on the autism spectrum.The book discusses the use of AI in detecting autism spectrum disorder (ASD). AI analyses behavioral patterns, speech, and cognitive responses. Machine learning algorithms are used to identify potential markers of ASD. AI can process vast amounts of data, including social interactions, facial expressions, and language nuances to help arrive at a diagnosis that would otherwise not be possible. AI-driven tools like natural language processing, computer vision, and predictive analytics provide objective assessments. These assessments complement traditional diagnostic methods, offer more accurate and efficient evaluations. Further, AI assists data analysis models in identifying unnoticeable behavioral signals that might normally escape detection by human observation, enhancing the precision of ASD diagnosis. Covering AI applications in detection, diagnosis, and life support, the book highlights how technology is reshaping autism care and research.Key Features:Investigates recent research on AI based autism diagnosis modelsExplores various ML models for diagnosis using behaviour analysis, speech analysisReviews various AI models for clinical data analysisInvestigates early prediction toolsExplores tools for assisting and parental care Explores how AI is transforming the way autism is understood and supported. From early detection and diagnosis to tools that improve daily life, this book highlights how AI works alongside traditional methods to create more accurate, personalized, and supportive care for individuals with autism. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Springer, Springer Jan 2025, 2025
ISBN 10: 3031784197 ISBN 13: 9783031784194
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Solid waste management has become a significant global concern, particularly in maintaining and preserving value in solid waste resources. Local socio-economic disparities create various demands for sustainable solid waste management, leading to a wide range of waste reduction, recovery, and recycling solutions. This highlights the importance of accurately interpreting new policies within the framework of the circular economy. Accordingly, the title of this book is Solid Waste Management: Sustainable Environmental Practices and the Circular Economy. This book contains chapters on contemporary research that focuses on innovative technologies, concepts, models, and tools for sustainable solid waste management, as sustainable environmental practices and the circular economy have garnered increasing interest. This volume seeks to enhance scientific potential in the field of sustainable waste management by publishing cutting-edge theoretical and experimental studies that will advance our understanding of green technologies for sustainable solid waste management systems, aligned with the principles of sustainable environmental practices and the circular economy.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 484 pp. Englisch.
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