Sambit Satpathy

Dr. Sambit Satpathy


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 October 2019 in The Journal of Supercomputing
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Journal Article
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SSSambit Satpathy
Sambit Satpathy
PMPrakash Mohan
Prakash Mohan
SDSanchali Das
Sanchali Das
SDSwapan Debbarma
Swapan Debbarma

1 February 2020 in Journal of Energy Storage
Verified
Journal Article
Closed access
SSSambit Satpathy
Sambit Satpathy
SDSanchali Das
Sanchali Das
BBBidyut Kumar Bhattacharyya
Bidyut Kumar Bhattacharyya

19 June 2019 in Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Journal Article
Closed access
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SSSambit Satpathy
Sambit Satpathy
PMPrakash Mohan
Prakash Mohan
SDSwapan Debbarma
Swapan Debbarma
ASAditya S. Sengupta
Aditya S. Sengupta
BBBidyut K. Bhattacaryya
Bidyut K. Bhattacaryya
Nowadays there are lots of fatal diseases are growing at a rapid rate. We consider about four primary diseases like jaundice, diabetes mellitus, yellow fever, and cholera. In this paper, we design a novel method with the help of fuzzy and FPGA system for prediction multiple diseases in a rural area. Association rule mining technique helps to define fuzzy rules, which implemented on both Spartan3-E and Artix-7 FPGA kit. Due to this implementation, it is easier to design a cost-effective and portable system for multi-disease prediction. The innovation lies in design a low power FPGA and meticulousness method for identification, prediction of four fatal diseases. The whole plan has tested on Xilinx and Cadence tool for generating RTL model and Layout design.

6 May 2024 in Scientific Reports
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Journal Article
Open access
PDF file
SSSambit Satpathy
Sambit Satpathy
Osamah IbrahimOsamah Ibrahim
Osamah Ibrahim
DSDhirendra Kumar Shukla
Dhirendra Kumar Shukla
SASameer Algburi
Sameer Algburi
HHHabib Hamam
Habib Hamam
The proposed work contains three major contribution, such as smart data collection, optimized training algorithm and integrating Bayesian approach with split learning to make privacy of the patent data. By integrating consumer electronics device such as wearable devices, and the Internet of Things (IoT) taking THz image, perform EM algorithm as training, used newly proposed slit learning method the technology promises enhanced imaging depth and improved tissue contrast, thereby enabling early and accurate disease detection the breast cancer disease. In our hybrid algorithm, the breast cancer model achieves an accuracy of 97.5 percent over 100 epochs, surpassing the less accurate old models which required a higher number of epochs, such as 165.

29 September 2022 in Sustainable Energy Technologies and Assessments
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Journal Article
Closed access
SSSambit Satpathy
Sambit Satpathy
APAdithya Padthe
Adithya Padthe
MPMohan Prakash
Mohan Prakash
MTMunesh Chandra Trivedi
Munesh Chandra Trivedi
VGVishal Goyal
Vishal Goyal
BBBidyut K Bhattacharyya
Bidyut K Bhattacharyya

1 December 2018
Verified
Conference Paper
Closed access
SGSushmita Ghosh
Sushmita Ghosh
SSSambit Satpathy
Sambit Satpathy
SDSanchali Das
Sanchali Das
SDSwapan Debbarma
Swapan Debbarma
BBBidyut K Bhattacharyya
Bidyut K Bhattacharyya
Over the last few years, DC/DC buck converters have been the subject of great interest due to its higher utility for different applications. In this review paper, we explain about various types of controlling method of dc-dc buck converter for closed loop feedback system. The study is focused on various specified application such as wireless network, computer server, computer CPU, telephonic system etc. Here we consider about linear, nonlinear, voltage control, current control, and switch mode controller for design the closed loop system. In linear controlling method, we consider about PID controller, its tuning process, and finding other system parameter. But linear systems fails to work properly in real-time applications, hence we have to think about nonlinear controller and due to this reason, we consider switching mode controller, Hysteretic current and voltage mode controller etc.