S. M. Hasan Mahmud

According to our database, S. M. Hasan Mahmud authored at least 20 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images.

Anjir Ahmed Chowdhury, S. M. Hasan Mahmud, Khadija Kubra Shahjalal Hoque, Kawsar Ahmed, Francis M. Bui, Pietro Lio, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani

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.

Md. Faruk Hosen, S. M. Hasan Mahmud, Kawsar Ahmed, Wenyu Chen, Mohammad Ali Moni, Hong-Wen Deng, Watshara Shoombuatong, Md. Mehedi Hasan

Comput. Biol. Medicine, 2022

PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors.

Md. Rajib Mia, Md. Ashikur Rahman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud

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.

Md Abdur Rahaman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud

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).

Rifat Bin Mahi, Mohammed Faisal, Xuefeng Dai, S. M. Hasan Mahmud, Peng Ye

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.

Md. Alamgir Kabir, M. M. Manjurul Islam, S. M. Hasan Mahmud, Md. Fazla Elahe

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.

Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao

Pattern Recognit., 2021

Spatial division networks for weakly supervised detection.

Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao

Neural Comput. Appl., 2021

Data stream classification with novel class detection: a review, comparison and challenges.

Salah Ud Din, Junming Shao, Jay Kumar, Cobbinah Bernard Mawuli, S. M. Hasan Mahmud, Wei Zhang, Qinli Yang

Knowl. Inf. Syst., 2021

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

Md. Jakir Hossain, Chunxiang Xu, Chuang Li, S. M. Hasan Mahmud, Xiaojun Zhang, Wanpeng Li

J. Syst. Archit., 2021

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.

Md. Habibur Rahman, Humayan Kabir Rana, Silong Peng, Md Golam Kibria, Md Zahidul Islam, S. M. Hasan Mahmud, Mohammad Ali Moni

Comput. Biol. Medicine, 2021

Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients.

Tasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Md. Kawsar, Nargis Aktar, S. M. Hasan Mahmud, Mohammad Ali Moni

Briefings Bioinform., 2021

Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients.

Tasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Fahad Ahmed Al-Zahrani, S. M. Hasan Mahmud, Mohammad Ali Moni

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.

S. M. Hasan Mahmud, Wenyu Chen, Yongsheng Liu, Md. Abdul Awal, Kawsar Ahmed, Md. Habibur Rahman, Mohammad Ali Moni

Briefings Bioinform., 2021

A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data.

Md. Abdul Awal, Mehedi Masud, Md. Shahadat Hossain, Abdullah Al-Mamun Bulbul, S. M. Hasan Mahmud, Anupam Kumar Bairagi

IEEE Access, 2021

2019

Version specific test case prioritization approach based on artificial neural network.

Hosney Jahan, Ziliang Feng, S. M. Hasan Mahmud, Penglin Dong

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.

S. M. Hasan Mahmud, Wenyu Chen, Hosney Jahan, Yongsheng Liu, Nasir Islam Sujan, Saeed Ahmed

IEEE Access, 2019

An Efficient Deep Learning Model to Infer User Demographic Information From Ratings.

Yongsheng Liu, Hong Qu, Wenyu Chen, S. M. Hasan Mahmud

IEEE Access, 2019

Mutual Constraint Learning for Weakly Supervised Object Detection.

Yongsheng Liu, Wenyu Chen, S. M. Hasan Mahmud, Hong Qu, Kebin Miao, Feng Wei, Ziliang Zhang

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.

Md Fahimuzzman Sohan, Md. Ismail Jabiullah, Sheikh Shah Mohammad Motiur Rahman, S. M. Hasan Mahmud

Proceedings of the 10th International Conference on Computing, 2019