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Vinayakumar Ravi

Vinayakumar RaviDr. Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Dr. Ravi has been a Postdoctoral Research Fellow developing and implementing novel coputational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, USA. He received his Ph.D. in Computer Science from Amrita School of Engineering, Coimbatore, India. His current research interests include applications of data mining, Artificial Intelligence, machine learning and, deep learning for biomedical informatics, cyber security, image processing, and natural language processing. Dr. Ravi is editor of Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics, Springer. Dr. Ravi is an editorial board member for Journal of the Institute of Electronics and Computer (JIEC), International Journal of Digital Crime and Forensics (IJDCF), and he has organized a shared task force on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18. Read More Read Less

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1.
Securing the Future12 % NR
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₹6,249
₹5,499
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Release:
03 Jul 2024
Language:
English
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2.
Efficient Data Handling for Massive Internet of Medical Things7 % NR
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₹14,516
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Release:
03 Sep 2022
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Efficient Data Handling for Massive Internet of Medical Things12 % NR
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₹13,736
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Hardback
Release:
02 Sep 2021
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Data-Driven Diagnostics and Disease Prediction with AI Optimization45 %
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Self-powered Sensors45 %
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₹13,875
₹7,631
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10 Sep 2024
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English
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6.
Computational Intelligence in Sustainable Computing and Optimization45 %
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7.
Internet of Multimedia Things Security14 % NR
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₹17,749
₹15,264
Binding:
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Release:
26 Jan 2026
Language:
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8.
Reliability in Cyber-Physical Systems: The Human Factor PerspectiveNR
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9.
6G Cyber Security Resilience: Trends and Challenges9 % NR
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₹17,519
₹15,942
Binding:
Hardback
Release:
29 May 2025
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10.
Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health CareNR
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11.
Deep Learning Applications in Healthcare and Medical Imaging Practice
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