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      • Nyhet

      Digital Twin and Industry 4.0

      Concepts, Frameworks, and Applications

      AvAbid Haleem,Mohd Javaid

      Häftad, Engelska, 2026

      Del i serien Advances in Digital Twin Computing and Sensor Networks

      1 976 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cybersecurity. Chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, its applications, and its potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS).

      Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, along with interdisciplinary coverage that connects digital twins with the other technologies. Sections also include applied case studies and examples that bridge the gap between academic research and industrial implementation.

      • Explains how digital twin technologies can enable the benefits of Industry 4.0
      • Discusses the benefits and challenges of each technology and how they can be applied in a real world environment
      • Considers technologies such as artificial intelligence, Internet of Things, additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems
      • Utilizes case studies to connect the realms of academic research and industry

      Produktinformation

      • Utgivningsdatum:2026-07-17
      • Mått:191 x 235 x 21 mm
      • Vikt:450 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Advances in Digital Twin Computing and Sensor Networks
      • Antal sidor:312
      • Förlag:Elsevier Science
      • ISBN:9780443540196

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Grafik och bildbehandling inom Data och IT
      • Nätverk och kommunikation inom Data och IT

      Mer om författaren

      Dr. Abid Haleem, working as a professor of mechanical engineering at Jamia Millia Islamia, New Delhi, India. Presently, Dr. Abid Haleem is a regional editor, Global Journal of Flexible Systems Management and an associate editor with JCOT, MAPAN, and Journal of Orthopaedics, Apollo Journal of Medicine. Dr Mohd Javaid is an Associate Professor of Mechanical Engineering, Faculty of Engineering, Jamia Millia Islamia, New Delhi. He graduated in Mechanical Engineering from Government College of Engineering and Technology, Jammu, India and received his Master’s in Industrial and Production Engineering from NIT Kurukshetra, India and obtained his PhD in Additive Manufacturing from Jamia Millia Islamia, New Delhi. Dr Javaid has published more than 160 research papers in the SCI/Scopus/ESCI/Web of Science Indexed Journals. His research interests are in Additive manufacturing, Healthcare technologies and Industry 4.0.

      Innehållsförteckning

      • 1. Introduction to Digital Twin and Industry 4.02. Digital Twin for Industry 4.03. Artificial Intelligence (AI) for Industry 4.04. Additive Manufacturing (AM) for Industry 4.05. Internet of Things (IoT) for Industry 4.06. Big Data for Industry 4.07. 5G for Industry 4.08. Robotics for Industry 4.09. Blockchain for Industry 4.010. Sensors for Industry 4.011. Cloud Computing for Industry 4.012. 3D Scanning for Industry 4.013. Virtual Reality for Industry 4.014. Holography for Industry 4.015. Cybersecurity for Industry 4.016. Machine Vision for Industry 4.017. Drones for Industry 4.018. Cyber-Physical Systems (CPS) for Industry 4.0
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