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  • Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning

    Gain a competitive edge in the semiconductor industry with this essential guide, which provides the practical insights and machine learning techniques needed to optimize the fabrication of hybrid nanodevices for integrated circuits.Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning explores the intersection of advanced manufacturing techniques and machine learning ... Leer más

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  • AI-Driven Human-Machine Interaction for Biomedical Engineering

    Concepts, Applications, and Methodologies

    AI-Driven Human-Machine Interaction for Biomedical Engineering: Concepts, Applications, and Methodologies offers a comprehensive examination of the intricate relationship between humans and machines, particularly through the transformative lens of artificial intelligence (AI). As AI technologies rapidly evolve, understanding their implications for human-machine interaction (HMI) has become ... Leer más

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  • Adversarial AI and Data Poisoning in Federated Learning

    With the growing security challenges at the intersection of distributed machine learning and malicious interference, there are growing challenges that federated learning can address. Federated learning enables collaborative model training across devices while preserving data privacy. However, this decentralized nature also opens new vulnerabilities, particularly to adversarial attacks and data ... Leer más

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  • A Compendium of Responsible Artificial Intelligence

    Series series Responsible Technology and Intelligence
    Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to ... Leer más

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  • Healthcare Recommender Systems

    Techniques and Recent Developments

    Series series Computer Science (R0)
    The book explores the complete system perspective, underlying theories, modelling, and the applications of pattern recognition in Healthcare Recommender System. Considering the interest of researchers and academicians, editors here aim to present this book in a multidimensional perspective that will be covering Healthcare Recommender Systems in depth, considering pattern recognition techniques ... Leer más

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  • Data Analysis for Neurodegenerative Disorders

    Series series Computer Science (R0)
    This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications ... Leer más

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    AI, ML, and Blockchain

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    Series series Physics and Astronomy (R0)
    This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a ... Leer más

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  • Agentic AI

    Navigating the Future of Autonomous Machines

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    In the rapidly evolving world of technology, Agentic AI: Navigating the Future of Autonomous Machines offers an essential guide to understanding the revolutionary capabilities of autonomous, decision-making systems that are changing industries and society. As artificial intelligence continues to advance, the concept of Agentic AI—AI systems that not only make decisions but also operate ... Leer más

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  • Challenges in Information, Communication and Computing Technology

    Proceedings of the 2nd International Conference on Challenges in Information, Communication, and Computing Technology (ICCICCT 2024), April 26th & 27th, 2024, Namakkal, Tamil Nadu, India

    This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing. Through in-depth analysis and expert perspectives, this ... Leer más

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  • Micro-, Meso- and Macro-Connectomics of the Brain

    Series series Biomedical and Life Sciences (R0)
    This book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ efforts to identify every neuron, axon, dendrite, synapse, and glial process within restricted brain regions; and ‘meso-connectome’ efforts to systematically map ... Leer más

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  • Slow Electronics with Reservoir Computing

    Energy-Efficient Neuromorphic Edge Computing for Low-Frequency Signals

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    Series series Computer Science (R0)
    This open access book discusses “slow electronics”, the study of devices processing signals with low frequencies. Computers have the remarkable ability to process data at high speeds, but they encounter difficulties when handling signals with low frequencies of less than ~100Hz. They unexpectedly require a substantial amount of energy. This poses a challenge for such as biomedical wearables and ... Leer más

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  • Federated Learning for Digital Healthcare Systems

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    Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical ... Leer más

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