Book Chapters (2)
- 1. Tahsen Islam Sajon, Barsha Roy, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Shakil Mahmud Shuvo, Md. Al Mamun, Abu Sayeed, S. M. Mahedy Hasan; "Attention Mechanism-enhanced Deep CNN Architecture for Precise Multi-Class Leukemia Classification", Springer, 2023
- 2. Shakil Mahmud Shuvo, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Tahsen Islam Sajon, S. M. Mahedy Hasan, Anirban Barai, A. F. M. Minhazur Rahman, Md. Al Mamun; "Multi-Class Brain Tumor Classification with DenseNet Based Deep Learning Features and Ensemble of Machine Learning Approaches", Springer, 2023
Journal Articles (1)
- 1. Abu Sayeed, Nasif Osman Khansur, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, AKM Azad, Mohammad Ali Moni; "An effective screening of COVID-19 pneumonia by employingchest X-ray segmentation and attention-based ensembled classification", IET Image Processing: Wiley (Q2), 2024
Conference Papers (36)
- 1. Sirajam Samira, Md Farukuzzaman Faruk, Md Nazmul Islam, SM Mahedy Hasan, Md Al Mamun, Azmain Yakin Srizon, Md Rakib Hossain; "Enhancing Gastrointestinal Diagnosis: CBAM-Integrated CNN for High-Precision Multi-Class Anatomical Landmark Identification", IEEE(2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)), 2024
- 2. Tushar Das, SM Mahedy Hasan, Anwar Hossain Efat, Md Farukuzzaman Faruk, Azmain Yakin Srizon, Md Al Mamun, Md Rakib Hossain; "Towards Superior EEG-Based Emotion Recognition: Integrating CNN Outputs with Machine Learning Classifiers for Enhanced Performance", IEEE, 2024
- 3. Ishmam Khan, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Md Al Mamun, SM Mahedy Hasan, Md Nazmul Islam, Md Rakib Hossain, Md Faruk Hossain; "Leveraging the Robust Capability of Modified Multi-Layer Gated Recurrent Units for Fake News Detection", IEEE, 2024
- 4. Barsha Roy, Md Farukuzzaman Faruk, Md Nazmul Islam, Azmain Yakin Srizon, SM Mahedy Hasan, Md Al Mamun, Md Rakib Hossain, Md Faruk Hossain; "A Cutting-Edge Ensemble of Vision Transformer and ResNet101v2 Based Transfer Learning for the Precise Classification of Leukemia Sub-types from Peripheral Blood Smear Images", IEEE, 2024
- 5. Ashraf UI Alam, Sudipta Progga Islam, SM Mahedy Hasan, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Md Al Mamun, Md Rakib Hossain; "Optic Disc and Cup Segmentation via Enhanced U-Net with Residual and Attention Mechanisms", IEEE, 2024
- 6. Anirban Barai , Md. Farukuzzaman Faruk , Shakil Mahmud Shuvo , Azmain Yakin Srizon, SM Mahedy Hasan, Abu Sayeed; "A Late Fusion Deep CNN Model for the Classification of Brain Tumors from Multi-Parametric MRI Images", IEEE(NCIM-2023), 2023
- 7. Azmain Yakin Srizon, Ananya Sarker, Md Al Mamun, Md Farukuzzaman Faruk, SM Mahedy Hasan; "Enhancing Waste Categorization Using Ensemble of Transfer Learning and Light-Weight Convolutional Neural Network", IEEE, 2023
- 8. Nahrin Jannat, SM Mahedy Hasan, Azmain Yakin Srizon, Mahjabin Oishe, Anwar Hossain Efat, Md Fakrul Taraque, Mostarina Mitu, Md Farukuzzaman Faruk; "Efficient Detection of Crop Leaf Diseases: A Lightweight Convolutional Neural Network Approach for Enhanced Agricultural Productivity", IEEE, 2023
- 9. Sheikh Fazle Rabbi, Md Al Mamun, Md Farukuzzaman Faruk, SM Mahedy Hasan, Azmain Yakin Srizon; "A Multi-branch and Attention Based CNN Architecture for the Classification of Retinal Diseases from OCT Images", IEEE, 2023
- 10. Soumik Datta, SM Mahedy Hasan, Md Farukuzzaman Faruk, Azmain Yakin Srizon, Md Rakib Hossain, Anwar Hossain Efat, Mostarina Mitu; "Improved Diabetes Prediction with Reduced Feature Sets: Evaluating Feature Selection Techniques in Machine Learning", IEEE, 2023
- 11. Md Nazmul Islam, Md Al Mamun, Md Farukuzzaman Faruk, Azmain Yakin Srizon, SM Mahedy Hasan, Barsha Roy; "Spatial Attention-guided Deep Learning for Accurate Kidney Disease Classification in CT Scans", IEEE, 2023
- 12. SM Mahedy Hasan, Md Al Mamun, Md Farukuzzaman Faruk, Azmain Yakin Srizon; "Ensemble of Deep Convolutional Neural Networks for Multi-Class Skin Lesion Recognition Using Soft Attention", IEEE, 2023
- 13. Farjana Islam, Md Farukuzzaman Faruk, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Rakib Hossain, Md Al Mamun, Md Nazmul Islam, Md Faruk Hossain; "An Investigation of Hyperparameters Optimization and Feature Reduction Techniques: Predicting Airline Passenger Satisfaction Using Machine Learning Models", IEEE, 2023
- 14. Rezwanul Haque, SM Mahedy Hasan, Azmain Yakin Srizon, Anwar Hossain Efat, Md Farukuzzaman Faruk, Mahjabin Oishe, Nahrin Jannat, Mostarina Mitu; "Evaluating the Efficacy of Feature Selection Methods in Cardiovascular Disease Prediction with Machine Learning", IEEE, 2023
- 15. Md Sabbir Hossain, Md Farukuzzaman Faruk, Azmain Yakin Srizon, SM Mahedy Hasan, Md Shariful Chowdhury, Md Rakib Hossain, Md Nazmul Islam, Md Faruk Hossain; "A Customized 3D CNN Integrated with Convolutional Block Attention Module for Precise Diagnosis of COVID-19 and Pneumonia from CT Scan Images", IEEE, 2023
- 16. Md Hedayatul Islam, Md Rakib Hossain, Farzana Akter, Azmain Yakin Srizon, SM Mahedy Hasan, Md Farukuzzaman Faruk, Md Minhazul Islam; "Enhanced Brain Tumor Segmentation: A Study on the Efficacy of Multi-Model Ensembling Utilizing Diverse Backbones", IEEE, 2023
- 17. Md Minhazul Islam, SM Mahedy Hasan, Md Rakib Hossain, Azmain Yakin Srizon, Farzana Akter, Md Farukuzzaman Faruk, Sheikh Shraboni Akter; "Channel Attention-Guided Lightweight CNN Meets Extreme Learning Machine: Multi-Class Crop Leaf Disease Classification with Explainable AI", IEEE, 2023
- 18. Shahriar Emon, Md Rakib Hossain, SM Mahedy Hasan, Azmain Yakin Srizon, Farzana Akter, Md Farukuzzaman Faruk, Md Shakib Hossain; "Prediction of Medical Insurance Costs: A SHAP-Enhanced Predictive Analysis for Transparency and Interpretability", IEEE, 2023
- 19. Md Shakib Hossain, Md Rakib Hossain, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Hedayatul Islam; "Leveraging AI-Driven Strategies to Mitigate Employee Turnover in Commercial Industries", IEEE, 2023
- 20. Shadman Sakib, Md Rakib Hossain, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Anindya Basak; "Predictive Analytics in Agriculture: Unraveling the Determinants of Crop Yield with Machine Learning", IEEE, 2023
- 21. Anindya Basak, Farzana Akter, Md Rakib Hossain, Azmain Yakin Srizon, SM Mahedy Hasan, Md Farukuzzaman Faruk, Shadman Sakib; "A Novel CNN-BiLSTM Fusion Model for Robust Age Estimation from Facial Images", IEEE, 2023
- 22. Md Minhazul Islam, Tanbeer Jubaer, Azmain Yakin Srizon, Md Rakib Hossain, SM Mahedy Hasan, Md Farukuzzaman Faruk, AFM Minhazur Rahman; "Navigating Bengali Linguistics: Insights from Machine and Deep Learning Perspectives for Categorization of Sentences", IEEE, 2023
- 23. Sheikh Shraboni Akter, Md Rakib Hossain, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Md Minhazul Islam; "Decoding Smart Grid Equilibrium: Insights from Machine Learning Models", IEEE, 2023
- 24. Tahsen Islam Sajon, Maria Chowdhury, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Abu Sayeed, A. F. M. Minhazur Rahman; "Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach", IEEE(ECCE 2023), 2023
- 25. Nahrin Jannat, S. M. Mahedy Hasan, Anwar Hossain Efat, Md Fakrul Taraque, Mostarina Mitu, Md. Al Mamun, Md. Farukuzzaman Faruk; "Stacking Ensemble Technique for Multiple Medical Datasets Classification: A Generalized Prediction Model", IEEE(ECCE 2023), 2023
- 26. Md. Farukuzzaman Faruk, Md. Rabiul Islam and Emrana Kabir Hashi; "Screening Pathological Abnormalities in Gastrointestinal Images Using Deep Ensemble Transfer Learning", IEEE, 2022
- 27. Protiva Ahammed, Md. Farukuzzaman Faruk, Nasif Raihan and Mrinmoy Mondal; "Inception V3 Based Transfer Learning Model for the Prognosis of Acute Lymphoblastic Leukemia from Microscopic Images", IEEE, 2022
- 28. A. Y. Srizon, S. M. M. Hasan, M. F. Faruk, A. Sayeed and M. A. Hossain; "Human Activity Recognition Utilizing Ensemble of Transfer-Learned Attention Networks and a Low-Cost Convolutional Neural Architecture", IEEE, 2022
- 29. M. S. I. Shopnil, S. M. M. Hasan, A. Y. Srizon and M. F. Faruk; "Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning", IEEE, 2022
- 30. Farukuzzaman Faruk; "VGGCovidNet: A Deep Convolutional Neural Network to Predict COVID-19 Cases from X-Ray Images", IEEE, 2021
- 31. Farukuzzaman Faruk; "RGU-Net: Residual Guided U-Net Architecture for Automated Segmentation of COVID-19 Anomalies Using CT Images", IEEE, 2021
- 32. Md. Farukuzzaman Faruk; "ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images", IEEE, 2021
- 33. Mrinmoy Mondal; Md. Farukuzzaman Faruk; Nasif Raihan; Protiva Ahammed; "Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images", IEEE, 2021
- 34. Md. Ahsan Habib Raj , Md. Al Mamun & Md. Farukuzzaman Faruk; "CNN Based Diabetic Retinopathy Status Prediction Using Fundus Images", IEEE, 2020
- 35. Abu Sayeed, Abdul Alim, Ali Hossain & Md. Farukuzzaman Faruk; "Target Class Oriented Subspace Detection for Hyperspectral Image Classification by Using Mutual Information and Cross Cumulative Residual Entropy", IEEE, 2020
- 36. Md. Farukuzzaman Faruk and Abu Sayeed; "K-mer Based DNA Methylation Status Prediction Using Support Vector Machine", IEEE, 2019