1st Edition

Digital Twin Technology and Applications

400 Pages 84 B/W Illustrations
by Auerbach Publications

400 Pages 84 B/W Illustrations
by Auerbach Publications

400 Pages 84 B/W Illustrations
by Auerbach Publications

The Fourth Industrial Revolution is being accelerated by the digital twin technological revolution, which converges intelligent technologies and defines the connectivity between physical and digital items. The Internet of Things (IoT) connects the real and digital worlds, allowing connected items to deliver a vast array of services to internet users. IoT devices create large amounts of data that... Read more

1. Digital Twin Past, Present and Future

A.M. SERMAKANI, R. RADHIKA, AND V. SUJATHA

2. Digital Twin Types and Design
Pallavi Jain, Sunil Kumar Boran, Bhairvee Singh, and Pankaj Singh

3. Real Issues, Opportunities, and Open Investigations in Digital Twins
V. Sheeja Kumari, T. Manikandan, M.J. Carmel Mary Belinda, A. Selva Kumar, and K. Prabu

4. Twin Technology: Exploring Types and Applications of Digital Twins
S.Dinesh Krishnan, K.V. Mahalakshmi,  Dyagala Naga Sudha, V. Sathya Priya, and A. Daniel

5. The Convergence of Data Analytics, Digital Twins, and the IoT/IIoT: A New Era of Data-Driven Decision Making
S. Geerthik, N. Vel Murugesh Kumar, P.V. Gopirajan, and B. Jaison

6. Simulation Strategies for Analyzing of Data
S.S. Darly and D. Kadhiravan

7. Navigating the Complexities of Digital Twin Implementation: Challenges and Strategies for Success

M. Arvindhan, S. Nivetha, Raghvendra Ajay Mishra, and A. Daniel

8. Using Improved Finite Element Modelling to Combat Cardiovascular Disease: A Review of a Developing Area at the Intersection of Several Disciplines
V. Sheeja Kumari, T. Manikandan, A. Selva Kumar, S. Ponmaniraj, and K. Prabu

9. Comprehensive Study of Digital Twin in Smart and Customized Healthcare
Salna Joy, R. Baby Chithra, and Ajay Sudhir Bale

10.  Sustainable Organic Farming in Indian Rural Areas with Aid of the Internet of Things
R. Rajesh, S. Sivakumar, and S. Premkumar

11. Predictive Analysis of Toxic Ions and Water Quality Based on Sensor Data using LSTM and ARIMA Models
Vallidevi Krishnamurthy, P.R. Joe Dhanith, R. Sujithra Kanmani, Surendiran Balasubramanian, and N. Rekha

12. Digital Representation of Agriculture Forms
K. Rajasathiya

13. Accelerators for Clustering Applications in Machine Learning
Mrinalika Durairaju, Mrinalini Durairaju, Vallidevi Krishnamurthy,  Sakthivel V, and Surendiran Balasubramanian

14. Design of a Smart Healthcare Environment with Digital Twinning and Machine Learning
S. Geetha, J. Madhusudanan, and V. Prasanna Venkatesan

15. FloodWatch: Suggesting an IoT-Driven Flood Monitoring and Early Warning System for the Flood-Prone Cuddalore District in the Indian State of Tamilnadu
R. Indrakumari, S. Srinivasan, N. Partheeban, and Rajkumar Rajavel

Biography

A. Daniel is an Associate Professor in the School of Computing Science and Engineering, Galgotias University, India He has 12 years of experience in academics.

Srinivasan Sriramulu is a professor in the School of Computing Science and Engineering, Galgotias University, India. He has more than 22 years of experience of teaching. He is expertise in image processing, Big Data, cloud, IoT and Artificial Intelligence.

N Partheeban is a professor at the School of Computing Science and Engineering, Galgotias University.

Santhosh Jayagopalan is with the Faculty in Computer Science, British Applied College, Umm Al Qwain, United Arab Emirates.