Del i serien Advances in Digital Twin Computing and Sensor Networks

Company Digital Twins

Emerging Trends, Technologies, and Applications

Häftad, Engelska, 2026

2 549 kr

Kommande

Company Digital Twins, a new volume in the Advances in Digital Twin Computing and Sensor Networks series, explores virtual companies based on digital twin technologies. The book covers foundational concepts, emerging trends, underlying technologies, practical applications, future directions, data security, privacy concerns, integration issues, and the scalability of digital twins across large companies. It is essential reading for anyone who needs to benefit from the capabilities of digital twins within the organization. The timeliness of this book lies in the rapid, current digital transformation and the increasing complexity of systems requiring real-time, intelligent management to achieve competitive advantages and sustainability goals.

The concept of the digital twin, a virtual representation of a physical system, has gained significant attention due to advancements in Artificial Intelligence, Internet of Things, and data analytics. It plays a crucial role in enhancing efficiency, sustainability, and decision-making across industries, such as manufacturing, healthcare, and urban planning.

Discusses how companies use digital twins for real-time decision-making and strategic foresight
Covers sectors that are embracing this technology, including manufacturing, healthcare, smart cities, agriculture, transportation, retail, etc.
Highlights trends in digital twin applications for improving efficiency, sustainability, and innovation in companies
Explores technological components such as Internet of Things, Artificial Intelligence, big data analytics, blockchain, and cloud computing
Examines challenges such as data security, integration complexity, and scalability, and offers insights into future developments

Produktinformation

Utgivningsdatum2026-12-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
SerieAdvances in Digital Twin Computing and Sensor Networks
Antal sidor400
FörlagElsevier Science
ISBN9780443332654

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Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.

Part 1: Foundations of Company Digital Twins1. Introduction to Digital Twins: Overview, history, and evolution of the digital twin concept.2. Introduction to Company Digital Twins: Overview, basic concepts and application of the company digital twin3. Understanding the Company Digital Twin: Definition, scope, and unique attributes of company-level digital twins.4. Digital Twin Frameworks and Architectures: Key architectural designs and industry standards.5. Emerging Technologies in Company Digital TwinsPart 2: Technologies Enabling Company Digital Twins6. The Role of IoT and Edge Computing in Company Digital Twin: Sensors, data collection, and real-time monitoring.7. AI and Machine Learning in Digital Twins: Predictive analytics, optimization, and decision support.8. Big Data and Cloud Computing Integration in Company Digital Twin: Data storage, processing, and scalability challenges.9. Blockchain for Company Digital Twins: Ensuring data integrity, security, and transparent transactions.10. AR, VR, and XR in Digital Twin Visualization: Immersive environments for real-time interaction.Part 3: Emerging Trends and Future Directions11. Digital Twins in the Metaverse: Blending virtual and physical company environments.12. Ethical, Security and Privacy Challenges: Addressing concerns around data use and AI ethics.13. Future of Company Digital Twins: Speculations on upcoming technologies and market trends.14. Smart sensor networks in the company manufacturing activities15. Integrating Digital Twins with Business Strategy: Aligning technology with organizational goals.