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ORCIDAdvances in Computers, Volume 117
Volume 117, 2020
- Pethuru Raj, Jenn-Wei Lin:
Chapter One - Stepping into the digitally instrumented and interconnected era. 1-34 - Preetha Evangeline
, P. Anandhakumar:
Chapter Two - Digital twin technology for "smart manufacturing". 35-49 - J. Pushpa, S. A. Kalyani:
Chapter Three - The fog computing/edge computing to leverage Digital Twin. 51-77 - D. Peter Augustine:
Chapter Four - The industry use cases for the Digital Twin idea. 79-105 - Vidya Hungud, Senthil Kumar Arunachalam:
Chapter Five - Digital twin: Empowering edge devices to be intelligent. 107-127 - Sathyan Munirathinam:
Chapter Six - Industry 4.0: Industrial Internet of Things (IIOT). 129-164 - Ranganathan Indrakumari, Thangamuthu Poongodi, Palanimuthu Suresh, Balamurugan Balusamy:
Chapter Seven - The growing role of integrated and insightful big and real-time data analytics platforms. 165-186 - Chetan Shetty, B. J. Sowmya, S. Seema, K. G. Srinivasa:
Chapter Eight - Air pollution control model using machine learning and IoT techniques. 187-218 - Janet Barnabas, Pethuru Raj:
Chapter Nine - The human body: A digital twin of the cyber physical systems. 219-246 - Nagarajan Susila, Anand Sruthi, Sakthivel Usha:
Chapter Ten - Impact of cloud security in digital twin. 247-263 - D. Sudaroli Vijayakumar:
Chapter Eleven - Digital twin in consumer choice modeling. 265-284 - Pethuru Raj, Chellammal Surianarayanan:
Chapter Twelve - Digital twin: The industry use cases. 285-320 - Ambika Paranthaman:
Chapter Thirteen - Machine learning and deep learning algorithms on the Industrial Internet of Things (IIoT). 321-338 - S. Abirami, P. Chitra:
Chapter Fourteen - Energy-efficient edge based real-time healthcare support system. 339-368
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