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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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Blockchain-based electronic healthcare record system for healthcare 4.0 applications

TL;DR: An Access Control Policy Algorithm for improving data accessibility between healthcare providers is proposed, assisting in the simulation of environments to implement the Hyperledger-based eletronic healthcare record (EHR) sharing system that uses the concept of a chaincode.
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Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges

TL;DR: An in-depth survey of state-of-the-art proposals having 5G-enabled IoT as a backbone for blockchain-based industrial automation for the applications such as-Smart city, Smart Home, Healthcare 4.0, Smart Agriculture, Autonomous vehicles and Supply chain management is presented.
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Blockchain for Industry 4.0: A Comprehensive Review

TL;DR: This paper explored the current state-of-the-art solutions in the blockchain technology for the smart applications, illustrated the reference architecture used for the blockchain applicability in various Industry 4.0-based applications, and provided a comparison of existing blockchain-based security solutions using various parameters to provide deep insights to the readers about its applicability.
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Fog computing for Healthcare 4.0 environment: Opportunities and challenges

TL;DR: This paper proposes a three layer patient-driven Healthcare architecture for real-time data collection, processing and transmission that gives insights to the end users for the applicability of fog devices and gateways in Healthcare 4.0 environment for current and future applications.
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Prospective evaluation of a primary care referral pathway for patients with non-alcoholic fatty liver disease

TL;DR: It is shown that established blood tests for liver fibrosis can be used in primary care to stratify patients with fatty liver disease, leading to a reduction in unnecessary referrals by 80% and greatly improving the detection of cases of advanced fibrosis and cirrhosis.