Medical image-based detection of COVID-19 using Deep Convolution Neural Networks
2021 · Multimedia Systems · 223 citations
https://doi.org/10.1007/s00530-021-00794-6
M
Mehedi Masud
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Mehedi Masud is an academic researcher from University of Barishal. The author has contributed to research in topics: IoT and Edge/Fog Computing & Blockchain Technology Applications and Security & Peer-to-Peer Network Technologies. The author has an h-index of 53, co-authored 272 publications.
ORCID: 0000-0001-6019-7245Papers by this author
worksConvolutional neural network-based models for diagnosis of breast cancer
2020 · Neural Computing and Applications · 175 citations
https://doi.org/10.1007/s00521-020-05394-5
Early Prediction of Diabetes Using an Ensemble of Machine Learning Models
2022 · International Journal of Environmental Research and Public Health · 144 citations
https://doi.org/10.3390/ijerph191912378
Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
2022 · Scientific Reports · 91 citations
https://doi.org/10.1038/s41598-022-15960-7
AI Enabled Accident Detection and Alert System Using IoT and Deep Learning for Smart Cities
2022 · Sustainability · 86 citations
https://doi.org/10.3390/su14137701
Deep Learning Approaches for Detecting Pneumonia in COVID-19 Patients by Analyzing Chest X-Ray Images
2021 · Mathematical Problems in Engineering · 71 citations
https://doi.org/10.1155/2021/9929274
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