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Elsevier

Books in Artificial intelligence expert systems and knowledge based systems

  • Lightweight Secure and Intelligent Approaches for Medical Devices

    Trends and Future Frontiers
    • 1st Edition
    • R. Praveen + 1 more
    • English
    Lightweight Secure and Intelligent Approaches for Medical Devices: Trends and Future Frontiers addresses the rapidly evolving intersection of artificial intelligence, Internet of Medical Things (IoMT), and edge computing within healthcare. This reference meets the critical demand for resource-efficient, secure, and trustworthy AI models tailored specifically for embedded medical devices operating under stringent constraints. By integrating advances in lightweight AI, medical device security, and intelligent data processing, the book fills a vital gap in current literature, offering researchers, engineers, and healthcare professionals a comprehensive resource to develop next-generation medical technologies. The book is organized into four parts, beginning with foundational concepts including the evolution of AI in healthcare devices, lightweight model design, and medical device security standards. It progresses to predictive intelligence and reliability, covering AI techniques for disease monitoring, device calibration, and personalized medicine. The security and privacy section explores network architectures, privacy-preserving AI, lightweight cryptography, and defenses against adversarial attacks. The final part presents emerging trends such as edge AI, digital twins, explainable AI, augmented and virtual reality applications, and quantum-safe security protocols. Each chapter combines theoretical insights with practical case studies and research perspectives to guide real-world deployment. Lightweight Secure and Intelligent Approaches for Medical Devices: Trends and Future Frontiers serves as an essential reference for researchers, medical device developers, cybersecurity professionals, and graduate students aiming to innovate secure and intelligent healthcare solutions in resource-constrained environments.

  • System of Systems Engineering

    Innovations, Challenges, and Future Directions
    • 1st Edition
    • Bedir Tekinerdogan + 1 more
    • English
    System of Systems Engineering: Innovations, Challenges, and Future Directions focuses on the many aspects of System of Systems Engineering. Part I, Foundations of System of Systems Engineering, introduces the field, characterizes and classifies SoS, and discusses key concepts. Part II, Governance and Management of SoSE, covers strategic governance, policy and regulatory frameworks, and leadership and decision-making in SoSE projects. Part III, Methodologies and Tools, explores systems thinking and modeling approaches, lifecycle management, and interoperability and integration strategies. Part IV, AI and System of Systems Engineering, delves into leveraging AI for enhanced decision-making, machine learning applications, AI-driven automation and control, and ethical considerations.Final... Part V, Case Studies and Emerging Challenges, presents real-world applications in defense and aerospace, smart cities, healthcare, environmental and energy systems, and discusses future directions and research opportunities. This book offers significant benefits to graduate students, researchers, and professionals in software engineering, systems engineering, aerospace engineering, defense, telecommunications, and other fields where SoSE is relevant.

  • Artificial Intelligence and Machine Learning for Safety-Critical Systems

    A Comprehensive Guide
    • 1st Edition
    • Rajiv Pandey + 3 more
    • English
    Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource on the challenges and mitigation strategies involved in their design. The book's authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models. In essence, the goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety.

  • Digital Twins and Predictive Modeling in Robotic Surgery

    • 1st Edition
    • Mudassir Khan + 3 more
    • English
    Digital Twins and Predictive Modeling in Robotic Surgery addresses the transformative convergence of digital twin technology, predictive analytics, and robotic surgery. This reference responds to the critical need for a comprehensive resource that bridges simulation science, artificial intelligence, and real-time robotic execution, facilitating enhanced surgical precision, patient-specific planning, and intraoperative decision-making. The content is organized into four parts covering foundational intelligent surgical systems, predictive modeling and simulation, clinical applications with case studies, and challenges alongside future directions. Topics include AI integration, IoT-enabled sensor networks, digital twin architectures encompassing the entire surgical ecosystem, surgical workflow modeling, risk assessment, human-robot interaction, technology acceptance, ethical and regulatory considerations. Real-world examples from smart hospitals worldwide illustrate practical implementation. This books benefits biomedical engineers, researchers, and healthcare system architects by providing interdisciplinary insights, practical implementation frameworks, and cutting-edge case studies. It supports improved surgical planning, precision, and decision-making, empowering end users to advance the adoption of intelligent, AI-powered robotic surgery systems in clinical practice and research environments.

  • Healthcare 5.0

    Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data
    • 1st Edition
    • Yugal Kumar + 2 more
    • English
    Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data addresses the urgent need for innovation in today’s complex healthcare data landscape that is characterized by pandemics, aging populations, and chronic conditions. The book introduces the concept of ‘Healthcare 5.0’ as an interconnected, data-driven, and patient-centric framework where advanced technologies such as AI, ML, IoMT, Big Data, and Large Language Models (LLMs) converge to optimize care, streamline operations, and deliver personalized, predictive solutions. The book moves from core AI applications in electronic health records, drug discovery, data management, and privacy, through cutting-edge big data analytics for disease forecasting and diagnosis.It explores new research advances in the Internet of Medical Things, including connected device architectures and their fusion with AI for dynamic decision-making. The third section focuses on data analytics in telemedicine, remote care, system usability, and integration in Healthcare 5.0. The personalized healthcare section details analysis and applications in AI- and IoT-powered assistance, and real-time monitoring. The last section explores the development of LLMs and their applications in medical imaging, clinical decision support, predictive analytics, system architectures, as well as the ethical challenges of their deployment in healthcare.

  • Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support

    • 1st Edition
    • Manoj Diwakar + 3 more
    • English
    Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support examines how to fuse imaging, genomics, electronic health records, and wearable sensor data into clinically actionable insights. As healthcare data becomes increasingly diverse and voluminous, there is a pressing need for integrative methodologies that preserve information across modalities while maintaining interpretability and safety. Current resources either focus on single-modality AI or domain-specific applications, leaving practitioners with fragmented guidance. This volume defines a cohesive, data-centric framework for multimodal predictive diagnostics and clinical decision support, addressing methodological foundations, reproducible pipelines, and real-world translation challenges.

  • Digital Transformation in Artificial Systems

    Engineering Requirements and Political, Economic, and Philosophical Challenges
    • 1st Edition
    • Paolo Ciancarini + 3 more
    • English

  • AI Platforms as Global Governance for the Health Ecosystem

    The Future's Global Hospital
    • 1st Edition
    • Dominique J. Monlezun
    • English

  • Data Analytics for Intelligent Transportation Systems

    • 2nd Edition
    • Amy Apon + 2 more
    • English

  • Securing Next-Generation Connected Healthcare Systems

    Artificial Intelligence Technologies
    • 1st Edition
    • Aboul Ella Hassanien + 1 more
    • English

  • Metaverse and AI in Healthcare

    A Federated Learning Approach
    • 1st Edition
    • Jyotir Moy Chatterjee + 1 more
    • English

  • Smart Healthcare 2.0

    Integrating Digital Twins with AI-Driven Predictive Analytics
    • 1st Edition
    • Ramesh Chandra Poonia + 1 more
    • English

  • Green Intrusion Detection Systems for IoT

    • 1st Edition
    • Amin Nikanjam + 3 more
    • English

  • The Digital Doctor

    How Digital Health Can Transform Healthcare
    • 1st Edition
    • Chayakrit Krittanawong
    • English

  • Empowering IoT with Big Data Analytics

    • 1st Edition
    • Mohamed Adel Serhani + 2 more
    • English

  • Challenges and Applications of Generative Large Language Models

    • 1st Edition
    • Vincenzo Scotti + 2 more
    • English

  • Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

    • 1st Edition
    • Sujith Samuel Mathew + 1 more
    • English

  • Interdependent Human-Machine Teams

    The Path to Autonomy
    • 1st Edition
    • Hesham Fouad + 3 more
    • English

  • Quantum Computing for Healthcare Data

    Revolutionizing the Future of Medicine
    • 1st Edition
    • Valentina Emilia Balas + 2 more
    • English

  • Machine Learning

    An Artificial Intelligence Approach, Volume III
    • 1st Edition
    • Ryszard S. Michalski + 1 more
    • English

  • Applications of Artificial Intelligence

    • 1st Edition
    • Volume 47
    • English

  • Blockchain Technology for Emerging Applications

    A Comprehensive Approach
    • 1st Edition
    • Debabrata Samanta + 3 more
    • English

  • Expert Systems

    The Technology of Knowledge Management and Decision Making for the 21st Century
    • 1st Edition
    • Cornelius T. Leondes
    • English

  • Semantic Web for the Working Ontologist

    Effective Modeling in RDFS and OWL
    • 2nd Edition
    • Dean Allemang + 1 more
    • English

  • Service Science, Management, and Engineering:

    Theory and Applications
    • 1st Edition
    • Zhong Liu + 4 more
    • English

  • Abstract Domains in Constraint Programming

    • 1st Edition
    • Marie Pelleau
    • English

  • Fundamentals of the Theory of Computation: Principles and Practice

    Principles and Practice
    • 1st Edition
    • H. James Hoover + 1 more
    • English

  • Knowledge Representation and Reasoning

    • 1st Edition
    • Hector Levesque + 1 more
    • English

  • Case-Based Reasoning

    • 1st Edition
    • Janet Kolodner
    • English

  • Artificial Intelligence for the Internet of Everything

    • 1st Edition
    • Stephen Russell + 4 more
    • English

  • Automating Open Source Intelligence

    Algorithms for OSINT
    • 1st Edition
    • Paul A Watters + 1 more
    • English

  • Machine Learning Proceedings 1995

    Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, July 9-12 1995
    • 1st Edition
    • Stuart Russell + 1 more
    • English

  • Artificial Intelligence Planning Systems

    Proceedings of the First Conference (AIPS 92)
    • 1st Edition
    • James Hendler
    • English

  • Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

    • 1st Edition
    • Arun Kumar Sangaiah + 2 more
    • English

  • Evolution of Knowledge Science

    Myth to Medicine: Intelligent Internet-Based Humanist Machines
    • 1st Edition
    • Syed V. Ahamed
    • English

  • Machine Learning Proceedings 1989

    • 1st Edition
    • Alberto Maria Segre
    • English

  • Face Detection and Recognition on Mobile Devices

    • 1st Edition
    • Haowei Liu
    • English

  • Advances in Intelligent Vehicles

    • 1st Edition
    • Lingxi Li + 1 more
    • English

  • Automated Planning

    Theory and Practice
    • 1st Edition
    • Dana Nau + 2 more
    • English

  • Commonsense Reasoning

    An Event Calculus Based Approach
    • 2nd Edition
    • Erik T. Mueller
    • English

  • Artificial Intelligence

    A New Synthesis
    • 1st Edition
    • Nils J. Nilsson
    • English

  • Social Sensing

    Building Reliable Systems on Unreliable Data
    • 1st Edition
    • Tarek Abdelzaher + 2 more
    • English

  • Evolutionary Computation in Bioinformatics

    • 1st Edition
    • David W. Corne + 1 more
    • English

  • Machine Learning Proceedings 1994

    Proceedings of the Eighth International Conference
    • 1st Edition
    • William W. Cohen
    • English

  • Towards A Semantic Web

    Connecting Knowledge in Academic Research
    • 1st Edition
    • Bill Cope + 2 more
    • English

  • Data Mining

    Concepts and Techniques
    • 4th Edition
    • Jian Pei + 2 more
    • English

  • Blondie24

    Playing at the Edge of AI
    • 1st Edition
    • David B. Fogel
    • English

  • Uncertainty in Artificial Intelligence

    Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, University of Washington, Seattle, July 29-31, 1994
    • 1st Edition
    • MKP
    • English

  • Industrial Agents

    Emerging Applications of Software Agents in Industry
    • 1st Edition
    • Paulo Leitão + 1 more
    • English

  • Formal Description Techniques, IV

    Proceedings of the IFIP TC6/WG6.1 Fourth International Conference on Formal Description Techniques for Distributed Systems and Communications Protocols, FORTE '91, Sydney, Australia, 19-22 November 1991
    • 1st Edition
    • Volume 2
    • G.A. Rose + 1 more
    • English