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Joydip Paul
Joydip Paul
Research Assistant, CeMSIM, Rensselaer Polytechnic Institute (RPI)
Verified email at rpi.edu
Title
Cited by
Cited by
Year
Monkeypox skin lesion detection using deep learning models: A feasibility study
SN Ali, MT Ahmed, J Paul, T Jahan, SM Sani, N Noor, T Hasan
arXiv preprint arXiv:2207.03342, 2022
2792022
A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity
SN Ali, MT Ahmed, T Jahan, J Paul, SMS Sani, N Noor, AN Asma, ...
Biomedical Signal Processing and Control 98, 106742, 2024
862024
Monkeypox skin lesion detection using deep learning models: A feasibility study. arXiv 2022
SN Ali, M Ahmed, J Paul, T Jahan, SM Sani, N Noor, T Hasan
arXiv preprint arXiv:2207.03342, 0
26
Monkeypox skin lesion detection using deep learning models: a feasibility study (2022)
SN Ali, MT Ahmed, J Paul, T Jahan, S Sani, N Noor, T Hasan
arXiv preprint arXiv:2207.03342, 0
8
Monkeypox skin lesion detection using deep learning models: A feasibility study. arXiv preprint arXiv: 220703342
SN Ali, M Ahmed, J Paul
32022
Exploring Deep Learning Algorithms for Aedes Mosquito Detection from Smartphone Images
MK Joarder, TC Saha, J Paul, MS Alam, T Hasan
2024 27th International Conference on Computer and Information Technology …, 2024
2024
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
S Nafisa Ali, T Ahmed, J Paul, T Jahan, SM Sakeef Sani, N Noor, T Hasan
arXiv e-prints, arXiv: 2207.03342, 2022
2022
Subject Independent Classification of Hand Gesture from sEMG using an Approximate Entropy Based Approach
J Paul, MT Alam, S Paul
2020 11th International Conference on Electrical and Computer Engineering …, 2020
2020
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Articles 1–8