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.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

Receiving & Processing of High-Speed Data in Digital Storage Oscilloscope (DSO).
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

Spatial division networks for weakly supervised detection.
Neural Comput. Appl., 2021

Data stream classification with novel class detection: a review, comparison and challenges.
Knowl. Inf. Syst., 2021

ICAS: Two-factor identity-concealed authentication scheme for remote-servers.
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

An Efficient Deep Learning Model to Infer User Demographic Information From Ratings.
IEEE Access, 2019

Mutual Constraint Learning for Weakly Supervised Object Detection.
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
Machine Learning Based Unified Framework for Diabetes Prediction.
Proceedings of the International Conference on Big Data Engineering and Technology, 2018


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