P
Pradeep Kumar Singh
Researcher at Krishna Institute of Engineering and Technology
Publications - 272
Citations - 3620
Pradeep Kumar Singh is an academic researcher from Krishna Institute of Engineering and Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 22, co-authored 234 publications receiving 1720 citations. Previous affiliations of Pradeep Kumar Singh include Jaypee University of Information Technology & National Institute of Technology, Raipur.
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Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward
TL;DR: A detailed study on ML adoption for making BT-based smart applications more resilient against attacks and how both the technologies can be applied in several smart applications such as Unmanned Aerial Vehicle (UAV), Smart Grid (SG), healthcare, and smart cities.
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Survey of robust and imperceptible watermarking
TL;DR: The paper introduces elementary concepts of digital watermarking, characteristics and novel applications of watermark in detail, and various analysis and comparison of different notable water marking techniques are discussed in tabular format.
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A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems
Umesh Bodkhe,Dhyey Mehta,Sudeep Tanwar,Pronaya Bhattacharya,Pradeep Kumar Singh,Wei-Chiang Hong +5 more
TL;DR: The proposed survey will act as a road-map for blockchain developers and researchers to evaluate and design future consensus mechanisms, which helps to build an efficient CPS for industry 4.0 stakeholders.
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Applicability of Wireless Sensor Networks in Precision Agriculture: A Review
TL;DR: The aim of this review is to identify the various WSNs technologies adopted for precision agriculture and impact of these technologies to achieve smart agriculture and to find the solutions of these research questions.
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An integrated fire detection system using IoT and image processing technique for smart cities
TL;DR: An early fire detection system to get rid of fire events using the concept of senor network and UAV’s technology and the proposed system has a higher fire detection rate to improve the true detection of forest fire from 95 to 98 percent.