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Hardback. Zustand: New. This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.…

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Gebunden. Zustand: New. Dr. T. Ananth Kumar is working as Assistant Professor in IFET college of Engineering affiliated to Anna University, Chennai. He received his Ph.D. degree in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli. He received his.

Hardcover. Zustand: Brand New. 160 pages. 8.50x5.44x0.59 inches. In Stock.

Hardback. Zustand: New. This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.…

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Buch. Zustand: Neu. Neuware - Bridging the gap between abstract algorithms and physical reality, this essential volume equips researchers and professionals with the technical depth and forward-looking insights needed to pioneer the next generation of robotics, smart environments, and seamless human-machine collaboration. Embodied artificial intelligence represents a significant evolution in the field of intelligent systems, where algorithms are no longer confined to virtual spaces but are integrated with physical bodies, sensors, and real-world contexts. Unlike traditional AI, which primarily processes abstract data, embodied AI emphasizes perception, interaction, and adaptation in dynamic environments, making it a cornerstone for next-generation applications in robotics, IoT, and human-machine collaboration. Bringing together advances in robotics, IoT, human-computer interaction, and machine learning, this book highlights how embodied intelligence is reshaping the way we live, work, and engage with technology. From enhancing personalized assistance in smart homes to enabling adaptive infrastructure in smart environments, embodied AI is setting the stage for the next generation of intelligent living. The book examines how embodied AI is transforming industries and societies alike. In marketing, it drives immersive consumer experiences through interactive, human-like engagement, while in smart cities, it fosters sustainable development, intelligent mobility, and participatory urban governance. Balancing technical depth with practical relevance, the chapters provide readers with both foundational insights and forward-looking perspectives on the opportunities and challenges of embodied AI. Designed for academics, researchers, and professionals, this volume serves as a reference for understanding how intelligent systems are blending seamlessly into human contexts. Readers will find the volume: - Explores how embodied AI is driving innovation in smart homes, smart environments, marketing, and smart cities;- Connects AI, robotics, IoT, and human-computer interaction for broad academic and professional audiences;- Highlights cutting-edge use cases and trends that shape sustainable and intelligent living;- Serves as both a reference for researchers and a guide for practitioners seeking real-world applications. Audience Academics, researchers, AI engineers, robotics developers, environmental technologists, and policymakers in computer science, human-computer interaction, and intelligent systems.…

Hardback. Zustand: New. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.This book:Presents mathematical principles of DL algorithms such as convolutional neural networks and recurrent neural networksDiscusses applications of DL such as hyperparameter optimization and multimodal DL for bioinformaticsShowcases how algorithms are applied to a broad range of application areas, including microscopy and pathologyCovers DL techniques such as deep feedforward networks, sequence modeling, and convolutional networksExamines the importance of deep learning in biomedical image processing and enhancing biological diagnosisIt will serve as an ideal reference text for senior undergraduates, graduate students, and academic researchers in the areas such as electrical engineering, electronics, and communications engineering, computer engineering, and information technology.…

Hardcover. Zustand: Brand New. 384 pages. 9.18x6.12x9.21 inches. In Stock.

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Hardback. Zustand: New. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.This book:Presents mathematical principles of DL algorithms such as convolutional neural networks and recurrent neural networksDiscusses applications of DL such as hyperparameter optimization and multimodal DL for bioinformaticsShowcases how algorithms are applied to a broad range of application areas, including microscopy and pathologyCovers DL techniques such as deep feedforward networks, sequence modeling, and convolutional networksExamines the importance of deep learning in biomedical image processing and enhancing biological diagnosisIt will serve as an ideal reference text for senior undergraduates, graduate students, and academic researchers in the areas such as electrical engineering, electronics, and communications engineering, computer engineering, and information technology.…