Book Chapters (3)
- 1. M. F. Ahamed, M. R. Islam, T. Hossain, K. Syfullah, and O. Sarkar; "Classification and segmentation on multi-regional brain tumors using volumetric images of MRI with customized 3D U-Net Framework", Proceedings of International Conference on Information and Communication Technology for Development (ICICTD), pp. 223–234., 2023
- 2. M. F. Ahamed, M. R. Islam, M. Nahiduzzaman, and M. E. H. Chowdhury; "Interpretible Deep Learning Model for Tuberculosis detection technique using X-ray images", Proceedings of Surveillance, prevention, and control of infectious diseases: An AI perspective –Springer, 2023
- 3. P. Chowdhury, E. M. Eumi, O. Sarkar, M. F. Ahamed; "Bangla News Classification Using GloVe Vectorization, LSTM, and CNN", Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore, 2023, 2023
Journal Articles (17)
- 1. M. F. Ahamed et al.,; "Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques", Scientific Report, Nature| IF: 3.8, Q1 | (Under Review), 2024
- 2. M. Nahiduzzaman, M. F. Ahamed, N. S. Alghamdi, and S. M. R. Islam; "SHAP-Guided Gastrointestinal Disease Classification with Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM", Neural Computing & Application, Springer| IF: 4.5, Q1 | (Under Review), 2024
- 3. M. F. Ahamed, A. Salam, M. Nahiduzzaman, M. A. Al-Wadud, S. M. R Islam; "Streamlining Plant Disease Diagnosis with Convolutional Neural Networks and Edge Devices", Neural Computing & Application, Springer| IF: 4.5, Q1, 2024
- 4. M. Naznine, M. Nahiduzzaman, M. J. Karim, M. F. Ahamed et al.,; "PLDs-CNN-Ridge-ELM: A parallel lightweight two stage waste classification model guided by SHAP", Expert Systems with Applications, Elsevier | IF: 8.5, Q1 | (Under Review), 2024
- 5. M. F. Ahamed et al.; "Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation", Human-Centric Intelligent Systems (HCIN), Springer, 2024
- 6. M. F. Munwar, M. A. Ahamed et al.,; "Object Detection using Machine Learning: A Comprehensive Review of Techniques and Applications", International Journal of Biomedical Imaging, hindawi | IF: 8.11, 2024
- 7. Md. Faysal Ahamed et al.; "Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI", Computers in Biology and Medicine, Elsevier | I.F.: 7.0, Q1, 2024
- 8. M. Nahiduzzaman; M. F. Ahamed et al.; "An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability", Knowledge-Based Systems, Elsevier | (Under Review) |I.F: 8.8, Q1, 2024
- 9. M. F. Ahamed, M. R. Islam et al.,; "Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods with Explainable AI", IEEE ACCESS | I.F: 3.9, Q1, 2024
- 10. M. F. Ahamed et al.,; "Detection of various Gastrointestinal Tract Diseases through Deep Learning method with Ensemble ELM and Explainable AI", Expert Systems with Applications, Elsevier | IF: 7.5, Q1, 2024
- 11. M. Nahiduzzaman; L. F. Abdulrazak; H. B. Kibria; A. Khandakar; M. A. Ayari; M. F. Ahamed; M. Ahsan; M. A. Moni; "A Hybrid Explainable Model Based on Advanced Machine Learning and Deep Learning Models for Classifying Brain Tumors Using MRI Images", Scientific Report, Nature| I.F.: 3.8, Q1 | (Under Review), 2024
- 12. M. F. Munwar, M. A. Ahamed et al.,; "A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications", Technologies, MDPI | IF: 4.2, Q1 | 2024, 2024
- 13. N. Aman, M.R. Islam, M.F. Ahamed, and M. Ahsan; "Performance evaluation of various deep learning models in gait recognition using the CASIA-B dataset", Technologies, MDPI | IF: 4.2, Q1, 2024
- 14. K. Thomas , M.A. Rahman ,W. Rohouma ,M.F. Ahamed ,F. Shafi ,M. Nahiduzzaman; "Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection", Scientific Data, Nature| I.F.: 5.6, Q1 | (Under Review), 2024
- 15. M. F. Ahamed et al.,; "IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques", Sensors, MDPI | IF: 3.9, Q1 | 2023, 2023
- 16. M. F. Ahamed et al.,; "A Review on Brain Tumor Segmentation Based on Deep Learning Methods with Federated Learning Techniques", Computerized Medical Imaging and Graphics, Elsevier | IF: 5.7, Q1, 2023
- 17. O. Sarkar, M. R. Islam, M. K. Syfullah, M. T. Islam, M. F. Ahamed, M. Ahsan, and J. Haider; "An Empirical Multi-Classification Approach of Classifying Lung Affected Diseases Utilizing Multi-Scale CNN Model", Technologies, MDPI | IF: 4.2, Q1, 2023
Conference Papers (10)
- 1. Maaz, M. F. Ahamed et al.,; "Deep Learning Based Smart Bin for Efficient Sorting of Recyclable, Non-Recyclable, and Compostable Materials", International Conference on Computer and Information Technology (25th ICCIT), 2025
- 2. M. F. Ahamed et al.; "Optimizing Skin Lesion Segmentation with UNet and Attention-Guidance Utilizing Test Time Augmentation", 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh, 2024
- 3. Z. A. K. Zihad, M. R. Islam, and M.F. Ahamed; "Denoising autoencoder-based soft K-medoid clustering for single-cell RNA sequence data", International Conference on Computing Advancements (ICCA 2024), 2024
- 4. D. Zafrin, M.F. Ahamed, and M. R. Islam; "Lightweight CNN Approach for Multiclass Alzheimer Stage Classification from MRI Scans", International Conference on Computing Advancements (ICCA 2024), 2024
- 5. P. Talukder, M. R. Islam, M.F. Ahamed, and S. Ghosh; "Bangla Speech Emotion Recognition Based on Audio Features Using CNN and LSTM", International Conference on Computing Advancements (ICCA 2024), 2024
- 6. M.F. Islam, M.R. Islam, and M.F. Ahamed; "Efficient Self-Attention and Co-Attention within the Modified Graph Matching Attention Network for Visual Question Answering", International Conference on Computing Advancements (ICCA 2024), 2024
- 7. T. T. Khan, A. Hassan, M. F. Ahamed, and S. Islam; "Multi-label Bengali Abusive Comments Classification using Problem Transformation Method", 2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). Mexico City, Mexico., 2023
- 8. O. Sarkar, M. F. Ahamed, T. T. Khan, M. K. Ghosh, and M. R. Islam; "An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM", 2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1-6, 2021
- 9. O. Sarkar, M. F. Ahamed, and P. Chowdhury; "Forecasting & Severity Analysis of COVID-19 Using Machine Learning Approach with Advanced Data Visualization", 2020 23rd International Conference on Computer and Information Technology (ICCIT)), Dhaka, Bangladesh, 2020, pp. 1-6, 2020
- 10. M. F. Ahamed, O. Sarkar, and A. Matin; "Instance Segmentation of Visible Cloud Images Based on Mask R-CNN Applying Transfer Learning Approach", 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 257-262, 2020