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Modak Sudipta
Modak Sudipta
Doctoral Candidate
Adresă de e-mail confirmată pe uwindsor.ca
Titlu
Citat de
Citat de
Anul
A Novel Method of QRS Detection Using Time and Amplitude Thresholds With Statistical False Peak Elimination
S Modak, LY Taha, E Abdel-Raheem
IEEE Access 9, 46079-46092, 2021
272021
Heart disease prediction using adaptive infinite feature selection and deep neural networks
S Modak, E Abdel-Raheem, L Rueda
2022 International Conference on Artificial Intelligence in Information and …, 2022
142022
A novel adaptive multilevel thresholding based algorithm for QRS detection
S Modak, E Abdel-Raheem, LY Taha
Biomedical Engineering Advances 2, 100016, 2021
62021
Single Channel QRS Detection Using Wavelet And Median Denoising With Adaptive Multilevel Thresholding
S Modak, LY Taha, E Abdel-Raheem
2020 IEEE International Symposium on Signal Processing and Information …, 2020
62020
Applications of deep learning in disease diagnosis of chest radiographs: A survey on materials and methods
S Modak, E Abdel-Raheem, L Rueda
Biomedical Engineering Advances 5, 100076, 2023
32023
Lung nodule segmentation on ct scan images using patchwise iterative graph clustering
S Modak, E Abdel-Raheem, L Rueda
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023
12023
Examining the Performance of Melanoma Classification using Superpixel Segmentation: A Comparative Analysis
FM Aydoghmishi, S Modak, E Abdel-Raheem, L Rueda
2023 International Conference on Microelectronics (ICM), 113-118, 2023
2023
Study of Topology Bias in GNN-based Knowledge Graphs Algorithms
A Surisetty, A Malhotra, D Chaurasiya, S Modak, S Yerramsetty, A Singh, ...
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1149-1156, 2023
2023
QRS Complex Detection based on Multilevel Thresholding and Peak-to-Peak Interval Statistics
S Modak
University of Windsor (Canada), 2020
2020
Improvement of power quality of CFL bulbs using active power factor correction circuit
S Modak, TK Das, MR Nabi
BRAC University, 2014
2014
Vehicle mounted Face Recognition System using Raspberry Pi
SZ Ahmed, A Mahmud, S Modak, MS Shawkat, MI Hoque, M Chowdhury, ...
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