The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases

<p>1. Stepping into the digitally instrumented and interconnected era<br>Pethuru Raj and Jenn-Wei Lin<br>2. Digital twin technology for "smart manufacturing"<br>Preetha David and Anandhakumar<br>3. The fog computing/edge computing to leverage digital twin<br>J. Pushpa and Kalayani<br>4. The industry use cases for the Digital Twin idea<br>Peter Augustine<br>5. Digital twin: Empowering edge devices to be intelligent<br>Vidya Hungud and Senthil Kumar Arunachalam<br>6. The industrial internet of things (IIoT)<br>Sathyan Munirathinam<br>7. The growing role of integrated and insightful big and real-time data analytics platforms<br>Indrakumari Ranganathan, Poongodi Thangamuthu, Suresh Palanimuthu and Balamurugan Balusamy<br>8. Air pollution control model using machine learning and IoT techniques<br>Chetan Shetty, B.J. Sowmya, S. Seema and K.G. Srinivasa<br>9. The human body: A digital twin of the cyber physical systems<br>Janet Barnabas and Pethuru Raj<br>10. Impact of cloud security in digital twin<br>Susila Nagarajan, Sruthi Anand and Usha Sakthivel<br>11. Digital twin in consumer choice modeling<br>D. Sudaroli Vijayakumar<br>12. Digital twin: The industry use cases<br>Pethuru Raj and Chellammal Surianarayanan<br>13. Machine learning and deep learning algorithms on the Industrial Internet of Things (IIOT)<br>P. Ambika<br>14. Energy-efficient edge based real-time healthcare support system<br>S. Abirami and P. Chitra</p>