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Sudeep Tanwar

Researcher at Nirma University of Science and Technology

Publications -  410
Citations -  11253

Sudeep Tanwar is an academic researcher from Nirma University of Science and Technology. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 43, co-authored 263 publications receiving 5402 citations. Previous affiliations of Sudeep Tanwar include Bharat Institute of Technology & University Institute of Technology, Burdwan University.

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An Overview of Fog Data Analytics for IoT Applications

TL;DR: In this article , the authors explored various research challenges and their solution using the next-generation fog data analytics and IoT networks and performed an experimental analysis based on fog computing and cloud architecture.

CSVAG: Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches

TL;DR: A new hybrid cuckoo search (CS) and genetic algorithm (GA) that maximizes the performance of heterogeneous wireless systems in terms of minimizing latency, handover failure probability, and enhancing the throughput is developed.
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Blockchain and AI-Empowered Healthcare Insurance Fraud Detection: an Analysis, Architecture, and Future Prospects

TL;DR: A taxonomy of various security issues in health insurance is presented and a blockchain and AI-based secure and intelligent system to detect health insurance fraud detection is proposed.
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Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions

TL;DR: A cryptocurrency price prediction framework is presented that acknowledges different cryptographic forms of money (which are subject to one another) as information and yields higher accuracy and can be applied to different digital money cost expectations.
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Blockchain for Future Wireless Networks: A Decade Survey

TL;DR: A WNs survey in the context of security and privacy issues with blockchain-based solutions, and the influence of blockchain technology and an exhaustive taxonomy for blockchain-enabled security solutions in WN are presented.