S. M. Hasan Mahmud
Orcid: 0000-0002-6828-3559
According to our database1,
S. M. Hasan Mahmud
authored at least 22 papers
between 2018 and 2024.
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Bibliography
2024
Social Media as a Mirror: Reflecting Mental Health Through Computational Linguistics.
IEEE Access, 2024
2023
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
2022
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.
Comput. Biol. Medicine, 2022
PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach.
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022
Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization.
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022
2021
Weakly supervised image classification and pointwise localization with graph convolutional networks.
Pattern Recognit., 2021
Neural Comput. Appl., 2021
Data stream classification with novel class detection: a review, comparison and challenges.
Knowl. Inf. Syst., 2021
J. Syst. Archit., 2021
Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.
Comput. Biol. Medicine, 2021
Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients.
Briefings Bioinform., 2021
Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients.
Briefings Bioinform., 2021
PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques.
Briefings Bioinform., 2021
A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data.
IEEE Access, 2021
2019
Version specific test case prioritization approach based on artificial neural network.
J. Intell. Fuzzy Syst., 2019
iDTi-CSsmoteB: Identification of Drug-Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction.
Proceedings of the 10th International Conference on Computing, 2019
2018
Proceedings of the International Conference on Big Data Engineering and Technology, 2018