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Elsevier

Books in Artificial intelligence in engineering

  • Digital Transformation in Industrial Production Management Techniques and Systems

    Perspectives from Industry 4.0 and Beyond
    • 1st Edition
    • Ajay Kumar + 2 more
    • English
    Intelligent industrial production management techniques enhance industrial services, products, and quality, contributing to societal improvements. This complex system involves resources, capital, people, machines, and information, all of which rapidly evolve with technological advancements. To meet market demands and global competitiveness, production management must integrate global resources and achieve resource efficiency, transitioning from traditional to digital methods. Digital transformation utilises technologies such as artificial intelligence (AI), machine learning (ML), digital twins (DT), the Industrial Internet of Things (IIoT), big data analytics, and augmented/virtual reality (AR/VR). These advancements optimise industrial systems and promote green production, reducing carbon emissions and improving quality of life. Digital Transformation in Industrial Production Management Techniques and Systems: Perspectives from Industry 4.0 and Beyond explores how Industry 4.0 facilitates digital transformation in production management, emphasising human-machine collaboration for resource efficiency and resilience. It is organised into three sections: fundamental strategies, Industry 4.0 trends, and applications in new product development and smart manufacturing, addressing challenges and opportunities in data-driven production management.

  • Artificial Intelligence in Biomaterials Design and Development

    • 1st Edition
    • Mohsen Khodadadi Yazdi + 4 more
    • English
    Artificial Intelligence in Biomaterials Design and Development delves into the transformative role of artificial intelligence, particularly machine learning, in creating new biomaterials. Traditional challenges in this field, such as chemical waste, spatial constraints, and inadequate tools, have hindered the swift design and synthesis of versatile biomaterials. Machine learning methods address these barriers by enhancing discovery and development processes, reducing time, costs, and wastage. Generative models now enable the creation of novel molecular structures with desired properties, making inverse materials design a reality. This book is essential for those in materials science, machine learning, and biomedical engineering.Addition... this comprehensive resource explores the application of AI in various aspects of biomaterials science, from computational engineering to data science. The book provides insights into how novel machine learning models can expedite materials discovery and improve accuracy. It is an invaluable guide for academics and industry professionals alike, seeking to leverage AI for innovative biomaterials research and development.

  • Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing

    • 1st Edition
    • Shufei Li + 2 more
    • English
    Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other’s actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of relationships between humans and robots in manufacturing tasks set the scene for a discussion on the technical fundamentals of state-of-the-art proactive human–robot collaboration; these are further elaborated into the three main steps (i.e., mutual-cognitive and empathic coworking; predictable spatio-temporal collaboration; self-organizing multiagent teamwork) to achieve an advanced form of symbiotic HRC with high-level, dynamic-reasoning teamwork skills. The authors then present a deployment roadmap and several case studies, providing step-by-step guidance for real-world application of these ground-breaking methods which crucially contribute to the maturing of human-centric, sustainable, and resilient production systems. The volume proves to be an invaluable resource that supports understanding and learning for users ranging from upper undergraduate/gradua... students and academic researchers to engineering professionals in a variety of industry contexts.

  • Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain

    • 1st Edition
    • Chinmay Chakraborty + 3 more
    • English
    Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses.

  • Internet of Multimedia Things (IoMT)

    Techniques and Applications
    • 1st Edition
    • Shailendra Shukla + 2 more
    • English
    Internet of Multimedia Things (IoMT): Techniques and Applications disseminates research efforts in the security and resilience of intelligent data-centric critical systems to support advanced research in this area. Sections cover the background of IoMT Architectures and Technologies, describe the problems that arise in IoMT Computing and protocols, and illustrate the application of IoMT on Industrial applications. The book will be beneficial for engineers, developers, solution designers, architects, system engineers and specialists from professional environments interested in the IoMT to seek appropriate solutions to their specific problems.

  • Production Software That Works

    A Guide To The Concurrent Development Of Realtime Manufacturing Systems
    • 1st Edition
    • Ann Courtright + 2 more
    • English
    This useful reference addresses the key tasks that are integral to realtime software development in manufacturing plants: managing the design of the system, setting up and coordinating a development organization, and implementing tools for successfulcompletion and management. Both new and experienced project managers will discover how to use concurrent methodologies to create realtime systems in half the time it usually takes.