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Shah Muhammad Azmat Ullah
Shah Muhammad Azmat Ullah
M.Sc. Eng. ECE, KUET.
在 ece.kuet.ac.bd 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Scalable telehealth services to combat novel coronavirus (COVID-19) pandemic
SMA Ullah, MM Islam, S Mahmud, S Nooruddin, SMTU Raju, MR Haque
SN Computer Science 2, 1-8, 2021
452021
Breathing aid devices to support novel coronavirus (COVID-19) infected patients
MM Islam, SMA Ullah, S Mahmud, SMTU Raju
SN computer science 1, 1-8, 2020
452020
Attention-based RNN architecture for detecting multi-step cyber-attack using PSO metaheuristic
PB Udas, KS Roy, ME Karim, SMA Ullah
2023 International Conference on Electrical, Computer and Communication …, 2023
62023
An effective framework for identifying pneumonia in healthcare using a convolutional neural network
MR Hasan, SMA Ullah, ME Karim
2023 International Conference on Electrical, Computer and Communication …, 2023
22023
KeratoEL: Detection of keratoconus using corneal parameters with ensemble learning
PK Paul, A Hossan, SMA Ullah
Health Science Reports 7 (7), e2202, 2024
2024
Stroke Detection Through Ensemble Learning: A Stacking Approach
J Faria, SMA Ullah, MR Hasan
2024 International Conference on Advances in Computing, Communication …, 2024
2024
Hypertension Prediction Using Stacked Ensemble Model from Imbalanced Clinical Data
SMA Ullah, ABMA Hossain
2024 International Conference on Advances in Computing, Communication …, 2024
2024
Prediction of Chronic Kidney Disease-A Machine Learning-Based Approach
R Hasan, I Ahmed, M Hasan, SMR Islam, SMA Ullah
2023 International Conference on Artificial Intelligence for Innovations in …, 2023
2023
Improving Pneumonia Diagnosis: A Deep Transfer Learning CNN Ensemble Approach for Accurate Chest X-Ray Image Analysis
R Hasan, SMA Ullah, A Nandi, A Taher
2023 International Conference on Information and Communication Technology …, 2023
2023
Enhancing Pneumonia Diagnosis: An Ensemble of Deep CNN Architectures for Accurate Chest X-Ray Image Analysis
MR Hasan, SMA Ullah
International Conference on Big Data, IoT and Machine Learning, 255-269, 2023
2023
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