Handbook of Industrial and Business Applications with Digital Twins
Herausgeber: Anand, A. Jose; Krishnan, Saravanan; Sendhilkumar, S.
Handbook of Industrial and Business Applications with Digital Twins
Herausgeber: Anand, A. Jose; Krishnan, Saravanan; Sendhilkumar, S.
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This book presents the framework and important key aspects of digital twins including various technologies with coverage of the digital twins in various industry and business applications. It gives the background in modeling and simulation, computer, sensor technology, and other areas required creating the next wave of digital twins.
Andere Kunden interessierten sich auch für
- Data Security in Internet of Things Based RFID and WSN Systems Applications202,99 €
- Advances in SIoT (Social Internet of Things)138,99 €
- Handbook on Federated Learning170,99 €
- Global Digital Data Governance191,99 €
- Sabhyata Soni5G Cyber Risks and Mitigation138,99 €
- IoT212,99 €
- Internet of Things117,99 €
-
-
-
This book presents the framework and important key aspects of digital twins including various technologies with coverage of the digital twins in various industry and business applications. It gives the background in modeling and simulation, computer, sensor technology, and other areas required creating the next wave of digital twins.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 424
- Erscheinungstermin: 16. Dezember 2024
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032737232
- ISBN-10: 1032737239
- Artikelnr.: 71682539
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 424
- Erscheinungstermin: 16. Dezember 2024
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032737232
- ISBN-10: 1032737239
- Artikelnr.: 71682539
Saravanan Krishnan, is working as an Associate Professor, Department of Computer Science & Engineering at College of Engineering, Guindy, Anna University, Chennai-25, Tamilnadu. He has done M.E Software Engineering and Ph.D in Computer Science engineering. His research interest includes Cloud Computing, Software Engineering, Internet of Things, Smart cities. He has published papers in 14 international conferences and 30 international journals. He has also written 16 book chapters and edited eight books with international publishers. He has done many consultancy works for Municipal Corporation and Smart City schemes. He is an active researcher and academician. He is also reviewer for many reputed journals. He is a member of ISTE, IEI, ISCA, ACM, etc. A. Jose Anand, is working as Professor, Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and twenty-four years of teaching experience. He presented several papers in National Conferences and International Conferences. He published several papers in National Journal and International Journal, and also published books for polytechnic & engineering subjects. He is a Member of CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is on Wireless Sensor Networks, Embedded systems, IoT, Machine Learning and Image Processing, etc. S. Sendhilkumar is a Professor in Department of Information Science and Technology, CEG, Anna University with 18 years of teaching experience in the areas of Data Mining, Machine Learning, Data Science and Social Network Analytics. His research interests include personalized information retrieval, Bibliometrics and social network mining. He has authored the book titled "Concepts, Techniques and Applications". He is recipient of CTS Best Faculty Award for the year 2018 and awarded with Visvesvaraya Young Faculty Research Fellowship by Ministry of Electronics and Information Technology (MeitY), Government of India for 2019-2021. He has authored/co-authored textbooks on Fundamentals of Computing and Machine Learning. He has developed e-content (40 modules with all four quadrants) for the course on Data Analytics for the E-Pathsala project of MHRD-UGC under its national mission on education through ICT. He has delivered Live cast lecture series Edusat Programme on Artificial Intelligence for the Engineering colleges affiliated to Anna University.
Part 1. Concepts and Architecture. 1. A Perspective on Digital Twins as an
Emerging Technology. 2. Architecture of Digital Twin and Applications. 3.
Unlocking Business Potential with Human Digital Twins: A Journey Towards
Human-Centricity, Sustainability, and Resilience. 4. Digital Platforms for
Business Applications. Part 2. Technologies. 5. Digital Twin and Artificial
Intelligence. 6. Blockchain Empowered Digital Twins: A Comprehensive Review
of Integration and Innovation. 7. Big Data and Digital Twin. 8. Unlocking
Value: Big Data, Digital Twins, exploring the future Digital Transformation
and its Trends. Part 3 Applications. 9. Digital Twin in Industry 4.0
Automation. 10. Leveraging Digital Twins for Optimal Automation and Smart
Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency.
11. Digital Twin for Smart Manufacturing. 12. Digital Twin for an
Irrigation System. 13. Diagnostics, Treatment, and Patient Care in the Age
of Digital Twins: A Game-Changer in Healthcare. Part 4 Case Study and
Challenges. 14. Digital Twin in Industry 5.0: Some Challenges and Future
Directions. 15. Researching Trends on Smart Tourism Technology using
Bibliometric Analysis. 16. Customised Cancer Care using Digital Twins - The
Case of Breast Cancer in Women. 17. Digital Twin in Water Utilization: A
Case Study to Estimate the Prediction of Water Usage.
Emerging Technology. 2. Architecture of Digital Twin and Applications. 3.
Unlocking Business Potential with Human Digital Twins: A Journey Towards
Human-Centricity, Sustainability, and Resilience. 4. Digital Platforms for
Business Applications. Part 2. Technologies. 5. Digital Twin and Artificial
Intelligence. 6. Blockchain Empowered Digital Twins: A Comprehensive Review
of Integration and Innovation. 7. Big Data and Digital Twin. 8. Unlocking
Value: Big Data, Digital Twins, exploring the future Digital Transformation
and its Trends. Part 3 Applications. 9. Digital Twin in Industry 4.0
Automation. 10. Leveraging Digital Twins for Optimal Automation and Smart
Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency.
11. Digital Twin for Smart Manufacturing. 12. Digital Twin for an
Irrigation System. 13. Diagnostics, Treatment, and Patient Care in the Age
of Digital Twins: A Game-Changer in Healthcare. Part 4 Case Study and
Challenges. 14. Digital Twin in Industry 5.0: Some Challenges and Future
Directions. 15. Researching Trends on Smart Tourism Technology using
Bibliometric Analysis. 16. Customised Cancer Care using Digital Twins - The
Case of Breast Cancer in Women. 17. Digital Twin in Water Utilization: A
Case Study to Estimate the Prediction of Water Usage.
Part 1. Concepts and Architecture. 1. A Perspective on Digital Twins as an
Emerging Technology. 2. Architecture of Digital Twin and Applications. 3.
Unlocking Business Potential with Human Digital Twins: A Journey Towards
Human-Centricity, Sustainability, and Resilience. 4. Digital Platforms for
Business Applications. Part 2. Technologies. 5. Digital Twin and Artificial
Intelligence. 6. Blockchain Empowered Digital Twins: A Comprehensive Review
of Integration and Innovation. 7. Big Data and Digital Twin. 8. Unlocking
Value: Big Data, Digital Twins, exploring the future Digital Transformation
and its Trends. Part 3 Applications. 9. Digital Twin in Industry 4.0
Automation. 10. Leveraging Digital Twins for Optimal Automation and Smart
Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency.
11. Digital Twin for Smart Manufacturing. 12. Digital Twin for an
Irrigation System. 13. Diagnostics, Treatment, and Patient Care in the Age
of Digital Twins: A Game-Changer in Healthcare. Part 4 Case Study and
Challenges. 14. Digital Twin in Industry 5.0: Some Challenges and Future
Directions. 15. Researching Trends on Smart Tourism Technology using
Bibliometric Analysis. 16. Customised Cancer Care using Digital Twins - The
Case of Breast Cancer in Women. 17. Digital Twin in Water Utilization: A
Case Study to Estimate the Prediction of Water Usage.
Emerging Technology. 2. Architecture of Digital Twin and Applications. 3.
Unlocking Business Potential with Human Digital Twins: A Journey Towards
Human-Centricity, Sustainability, and Resilience. 4. Digital Platforms for
Business Applications. Part 2. Technologies. 5. Digital Twin and Artificial
Intelligence. 6. Blockchain Empowered Digital Twins: A Comprehensive Review
of Integration and Innovation. 7. Big Data and Digital Twin. 8. Unlocking
Value: Big Data, Digital Twins, exploring the future Digital Transformation
and its Trends. Part 3 Applications. 9. Digital Twin in Industry 4.0
Automation. 10. Leveraging Digital Twins for Optimal Automation and Smart
Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency.
11. Digital Twin for Smart Manufacturing. 12. Digital Twin for an
Irrigation System. 13. Diagnostics, Treatment, and Patient Care in the Age
of Digital Twins: A Game-Changer in Healthcare. Part 4 Case Study and
Challenges. 14. Digital Twin in Industry 5.0: Some Challenges and Future
Directions. 15. Researching Trends on Smart Tourism Technology using
Bibliometric Analysis. 16. Customised Cancer Care using Digital Twins - The
Case of Breast Cancer in Women. 17. Digital Twin in Water Utilization: A
Case Study to Estimate the Prediction of Water Usage.