Book Chapters (1)
- 1. Md. Jahanur Rahman and Md. Al Mehedi Hasan; "Performance of Wavelet Transform on Models in Forecasting Climatic Variables in Rajshahi", Computational intelligence techniques in earth and environmental sciences, Springer Netherlands, 2014
Journal Articles (28)
- 1. Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, and Shamim Ahmad.; "predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance", PloS one 16, no. 4 : e0249396.( SCI indexed, Impact factor: 2.74), 2021
- 2. Abu Zahid Bin Aziz, Md Al Mehedi Hasan, and Jungpil Shin.; "Identification of RNA pseudouridine sites using deep learning approaches", PloS one 16, no. 2: e0247511. (SCI indexed, Impact factor: 2.74), 2021
- 3. Abu, Jungpil Shin Sayeed, Md Hasan, Al Mehedi, and Azmain Yakin Srizon.; "BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition", Applied Sciences 11, no. 15 : 6845. (SCI indexed, Impact Factor: 2.679), 2021
- 4. Md Khaled Ben Islam, Julia Rahman, Md Al Mehedi Hasan, and Shamim Ahmad; "predForm-Site: Formylation Site Prediction by Incorporating Multiple Features and Resolving Data Imbalance", Computational Biology and Chemistry : 107553. (SCI indexed, Impact Factor: 2.877), 2021
- 5. Jungpil Shin, Akitaka Matsuoka, Md. Al Mehedi Hasan, and Azmain Yakin Srizon; "American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation", Sensors 21, no. 17: 5856. (SCI indexed, Impact Factor: 3.735), 2021
- 6. Md Maniruzzaman, Md Merajul Islam, Md Jahanur Rahman, Md Al Mehedi Hasan, and Jungpil Shin; "Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data", Diabetes & Metabolic Syndrome: Clinical Research & Reviews: 102263.(Emerging Sources Citation Index (ESCI)), 2021
- 7. Md Ahmad Arafat, S. M. Shovan, Abdollah Dehzangi, Shubhashis Roy Dipta, Md Hasan, Al Mehedi, Ghazaleh Taherzadeh, Swakkhar Shatabda, and Alok Sharma.; "Accurately predicting glutarylation sites using sequential bi-peptide-based evolutionary features", Genes 11, no. 9 : 1023. (SCI indexed, Impact Factor: 4.339), 2020
- 8. Md. Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman and Shamim Ahmad; "Citrullination Site Prediction by Incorporating Sequence Coupled Effects into PseAAC and Resolving Data Imbalance Issue", Current Bioinformatics (2020) 15: 235. (Impact Factor:- 1.189, SCI indexed), 2020
- 9. Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Haoming Xu, Md Al Mehedi Hasan, Yiming Lei, and Julian MW Quinn; "A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue", Computers in biology and medicine 113 (2019): 103385. (Impact Factor:- 2.286, SCI indexed), 2020
- 10. Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Md Al Mehedi Hasan, Fazlul Huq, and Julian MW Quinn; "Detection of Parkinson’s disease using blood and brain cells transcript profiles", bioRxiv, 2019
- 11. Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Md Bashir Ahmed, Pietro Lio, Md. Al Mehedi Hasan, Fazlul Huq, Julian Quinn; "Early Detection of Neurological Dysfunction Using Blood Cell Transcript Profiles", bioRxiv, 2018
- 12. Md. Al Mehedi Hasan and Shamim Ahmad; "predSucc-Site: Lysine Succinylation Sites Prediction in Proteins by using Support Vector Machine and Resolving Data Imbalance Issue.", International Journal of Computer Applications,182(15):8-13., 2018
- 13. Md. Al Mehedi Hasan and Shamim Ahmad; "mLysPTMpred: Multiple Lysine PTM Site Prediction Using Combination of SVM with Resolving Data Imbalance Issue.", Natural Science (Indexed by PubMed and PubMed Central)., 2018
- 14. Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al Mehedi Hasan, Harman S. Suri, Md. Menhazul Abedin, Ayman El-Baz, Jasjit S. Suri; "Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers", Journal of Medical Systems (Springer). (Impact Factor:- 2.098, SCI indexed), 2018
- 15. Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla.; "iMulti-HumPhos: A Multi-Label Classifier for Identifying Human Phosphorylated Proteins Using Multiple Kernel Learning Based Support Vector Machine", Molecular BioSystems, 13(8), 1608-1618. (Impact Factor:- 2.781, SCI indexed), 2017
- 16. Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla; "Protein subcellular localization prediction using multiple kernel learning based support vector machine.", Molecular BioSystems, 13(4), 785-795. (Impact Factor:- 2.781, SCI indexed), 2017
- 17. Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla; "Protein Subcellular Localization Prediction using Support Vector Machine with the Choice of Proper Kernel", BioTechnologia vol. 98(2), 85-96. (Indexed by BIOSIS Previews, Listed in: https://mjl.clarivate.com), 2017
- 18. Md. Al Mehedi Hasan, Jinyan Li, Shamim Ahmad and Md Khademul Islam Molla.; "predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue.", Analytical biochemistry (ELSEVIER), 525, 107-113. (Impact Factor:- 2.334, SCI indexed), 2017
- 19. Julia Rahman, Md. Nazrul Islam Mondal, Md. Khaled Ben Islam, Md. Al Mehedi Hasan; "Feature Fusion Based SVM Classifier for Protein Subcellular Localization Prediction", Journal of Integrative Bioinformatics, 13(1):288. (SCI-E indexed, SCImago Journal Rank (SJR) 2018: 0.315 ), 2016
- 20. Md Al Mehedi Hasan, Mohammed Nasser, Shamim Ahmad, and Khademul Islam Molla; "Feature Selection for Intrusion Detection Using Random Forest.", Journal of Information Security, 7, no. 03, 129-140, 2016
- 21. Md. Al Mehedi Hasan, Shuxiang Xu, Mir Md. Jahangir Kabir and Shamim Ahmad; "Performance Evaluation of Different Kernels for Support Vector Machine Used in Intrusion Detection System", International Journal of Computer Networks & Communications (IJCNC), Volume 8, No. 6, 39-53. (Scopus Indexed), 2016
- 22. Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla; "Identifying Intrusions in Computer Networks using Principal Component Analysis and Random Forest.", International Journal of Computer Science and Information Security 14, no. 11, 19-30., 2016
- 23. Md. Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan and Abdur Rahim; "Protein Function Prediction Using Hypergeometric Distance with Background Frequency from Protein-Protein Interaction Network", International Journal of Computational Bioinformatics and In Silico Modeling, Vol. 4, Issue 3, pp. 667-672., 2015
- 24. Md. Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan and Mohammed Nasser; "Protein Function Prediction Using Neighbor Counting with Dynamic Threshold from Protein-Protein Interaction Network", Computational Biology and Bioinformatics, Vol. 3, No.1, pp. 1-5., 2015
- 25. Md. Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan and Md. Moyen Uddin; "Impact of Routing Protocol on the Performance of Wireless Sensor Network", International Journal of Electronics Communication and Computer Engineering, Vol. 6, Issue 1, pp. 115-122, 2015
- 26. Md. Al Mehedi Hasan, Mohammed Nasser and Biprodip Pal; "Support Vector Machine and Random Forest Modeling for Intrusion Detection System (IDS)", Md. Al Mehedi Hasan, Mohammed Nasser and Biprodip Pal, 2014
- 27. Md. Al Mehedi Hasan, Mohammed Nasser and Biprodip Pal; "On the KDD’99 Dataset: Support Vector Machine Based Intrusion Detection System (IDS) with Different Kernels", International Journal of Electronics Communication and Computer Engineering, Volume 4, Issue 4, 1164-1170, 2013
- 28. Md. Al Mehedi Hasan, Mohammed Nasser, Biprodip Pal and Shamim Ahmad; "Intrusion Detection Using Combination of Various Kernels Based Support Vector Machine", International Journal of Scientific & Engineering Research, Volume 4, Issue 9, 1454-1463, 2013
Conference Papers (9)
- 1. Md. Robiul Islam, Md. Al Mehedi Hasan and Abu Sayeed; "Transfer Learning based Diabetic Retinopathy Detection with a Novel Preprocessed Layer", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 2. Abu Said Md. Rezoun, Md. Al Mehedi Hasan and Abu Zahid Bin Aziz; "Supervised Deep Learning Methods for Human pre-miRNA Identification", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 3. Utsha Das, Azmain Yakin Srizon, Md. Al Mehedi Hasan, Julia Rahman and Md Khaled Ben Islam; "Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 4. Farjana Parvin and Md. Al Mehedi Hasan; "A Comparative Study of Different Types of Convolutional Neural Networks for Breast Cancer Histopathological Image Classification", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 5. Md. Mehedi Hasan, Azmain Yakin Srizon and Md. Al Mehedi Hasan; "Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 6. Md Sohrawordi and Md. Al Mehedi Hasan; "LyFor:Prediction of lysine formylation sites from sequence based features using support vector machine", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 7. Afrida Rahman, Sabit Ahmed, Julia Rahman and Md. Al Mehedi Hasan; "Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 8. Kazi Amit Hasan, Md. Al Mehedi Hasan; "Classification of Parkinson's Disease by Analyzing Multiple Vocal Features Sets", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020
- 9. Urmi Sen and Md. Al Mehedi Hasan; "DeepGlut: A Deep Learning Framework for Prediction of GlutarylationSites in Protein", IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh., 2020