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Samrat Kumar Dey
Samrat Kumar Dey
Graduate Research Assistant, University of Missouri
Verified email at missouri.edu - Homepage
Title
Cited by
Cited by
Year
Vgg-scnet: A vgg net-based deep learning framework for brain tumor detection on mri images
MS Majib, MM Rahman, TMS Sazzad, NI Khan, SK Dey
IEEE Access 9, 116942-116952, 2021
2772021
Analyzing the epidemiological outbreak of COVID‐19: A visual exploratory data analysis approach
SK Dey, MM Rahman, UR Siddiqi, A Howlader
Journal of medical virology 92 (6), 632-638, 2020
2552020
COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images
MMR Kabid Hassan Shibly, Samrat Kumar Dey, Md Tahzib-Ul Islam
Informatics in Medicine Unlocked 20 (100405), 2020
1882020
A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
N Biswas, KMM Uddin, ST Rikta, SK Dey
Healthcare Analytics 2, 100116, 2022
1342022
Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
KMM Uddin, N Biswas, ST Rikta, SK Dey
Computer Methods and Programs in Biomedicine Update 3, 100098, 2023
1312023
Implementation of a web application to predict diabetes disease: an approach using machine learning algorithm
SK Dey, A Hossain, MM Rahman
2018 21st international conference of computer and information technology …, 2018
1202018
Effects of machine learning approach in flow-based anomaly detection on software-defined networking
SK Dey, MM Rahman
Symmetry 12 (1), 7, 2019
952019
Design and development of hand gesture based virtual mouse
KH Shibly, SK Dey, MA Islam, SI Showrav
2019 1st International Conference on Advances in Science, Engineering and …, 2019
852019
Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach
SK Dey, MM Rahman, A Howlader, UR Siddiqi, KMM Uddin, R Borhan, ...
PloS one 17 (7), e0270933, 2022
732022
Flow based anomaly detection in software defined networking: A deep learning approach with feature selection method
SK Dey, MM Rahman
2018 4th international conference on electrical engineering and information …, 2018
662018
Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset
KMM Uddin, R Ripa, N Yeasmin, N Biswas, SK Dey
Intelligence-Based Medicine 7, 100100, 2023
632023
Federated deep learning for monkeypox disease detection on gan-augmented dataset
D Kundu, MM Rahman, A Rahman, D Das, UR Siddiqi, MGR Alam, ...
IEEE Access 12, 32819-32829, 2024
622024
Hospital patients’ length of stay prediction: A federated learning approach
MM Rahman, D Kundu, SA Suha, UR Siddiqi, SK Dey
Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022
612022
MobileNet mask: a multi-phase face mask detection model to prevent person-to-person transmission of SARS-CoV-2
SK Dey, A Howlader, C Deb
Proceedings of International Conference on Trends in Computational and …, 2020
602020
XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer
ST Rikta, KMM Uddin, N Biswas, R Mostafiz, F Sharmin, SK Dey
Journal of Pathology Informatics 14, 100307, 2023
492023
Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease
SK Dey, KMM Uddin, HMH Babu, MM Rahman, A Howlader, KMA Uddin
Intelligent Systems with Applications 16, 200144, 2022
442022
Network intrusion detection using unsw-nb15 dataset: Stacking machine learning based approach
MH Kabir, MS Rajib, ASMT Rahman, MM Rahman, SK Dey
2022 international conference on advancement in electrical and electronic …, 2022
442022
An ensemble machine learning-based approach to predict cervical cancer using hybrid feature selection
KMM Uddin, A Al Mamun, A Chakrabarti, R Mostafiz, SK Dey
Neuroscience Informatics 4 (3), 100169, 2024
362024
Detection of flow based anomaly in openflow controller: Machine learning approach in software defined networking
SK Dey, MM Rahman, MR Uddin
2018 4th International Conference on Electrical Engineering and Information …, 2018
292018
Machine learning-based opinion spam detection: A systematic literature review
A Qazi, N Hasan, R Mao, MEM Abo, SK Dey, G Hardaker
IEEE Access 12, 143485-143499, 2024
282024
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Articles 1–20