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 (13)
- 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", Computer and Electrical Engineering, Elsevier | IF: 4.3, 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", Expert Systems with Applications, Elsevier | IF: 8.5, 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: 6, Q1 | (Under Review), 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 | (Under Review)), 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, Q2, 2024
- 7. 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
- 8. 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
- 9. 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: 8.5, Q1 | (Under Review), 2024
- 10. 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", Artificial Intelligence In Medicine, Elsevier | I.F.: 7.5, Q1 | (Under Review), 2024
- 11. 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
- 12. 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
- 13. 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: 3.6, Q1, 2023
Conference Papers (5)
- 1. 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
- 2. 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
- 3. 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
- 4. 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
- 5. 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