Ferdib Al-Islam, Mostofa Shariar Sanim, Kah Ong Michael Goh, S M Hasan Mahmud, Dip Nandi, "Alzheimer’s Disease Prediction Using ANOVA with t-SNE Feature Selection Techniques and Ensemble Learning," Journal of Advanced Research Design, vol. 144, no. 1, pp. 123–147, Sep. 2025.
Md. Rabiul Islam, Tapan Kumar Godder, Ahsan Ul-Ambia, *Ferdib Al-Islam, Anindya Nag, Bulbul Ahamed, Nujhut Tanzim, Md. Estiak Ahmed, “Ensemble model-based arrhythmia classification with local interpretable model-agnostic explanations,” IAES International Journal of Artificial Intelligence, vol. 14, no. 3, p. 2012, Jun. 2025, doi: 10.11591/ijai.v14.i3.pp2012-2025. (Full Text)
S. S. Hossain, *F. Al-Islam, Md. R. Islam, S. Rahman, and Md. S. Parvej, “Autism Spectrum Disorder Identification from Facial Images using Fine Tuned Pre-trained Deep Learning Models and Explainable AI Techniques,” Semarak International Journal of Applied Psychology, vol. 5, no. 1, pp. 29–53, Apr. 2025, doi: 10.37934/sijap.5.1.2953b. (Full Text)
Md. M. R. Rana, Md. N. Adnan, Md. M. Siddique, Md. T. Rahman, and F.- Al-Islam, “Predicting Education Level of the Farmers' Children of a Developing Country during COVID19 Using Machine Learning,” International Journal of Modern Education and Computer Science, vol. 16, no. 6, pp. 94–107, Dec. 2024, doi: 10.5815/ijmecs.2024.06.07. (Full Text)
P. Saha, M. S. Sadi, O. F. M. R. R. Aranya, S. Jahan, and F.-A. Islam, “COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning,” Informatics in Medicine Unlocked, vol. 26, p. 100741, Jan. 2021, doi: 10.1016/j.imu.2021.100741. (Full Text)
L. Akter, Ferdib-Al-Islam, Md. M. Islam, M. S. Al-Rakhami, and Md. R. Haque, “Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques,” SN Computer Science, vol. 2, no. 3, Mar. 2021, doi: 10.1007/s42979-021-00551-6. (Full Text)
* Corresponding Author
I. Mahmud, *Ferdib-Al-Islam, Md. R. Islam, M. A. Israk, M. S. U. Rahman, and S. Ahuja, “IoT-Based Smart Poultry and Hatchery Farm: An Integrated Solution with Anti-Theft and Fire Alarm System,” in Lecture notes in networks and systems, 2025, pp. 367–377. doi: 10.1007/978-3-031-78934-2_35. (Full Text)
Md. S. Parvej, Md. T. Hasan, Md. A. Islam, J. Islam, and *Ferdib-Al-Islam, “Predicting the Impact of Digital Technology on Student’s Academic Performance Using Machine Learning with Local Interpretable Model-Agnostic Explanations,” in Lecture notes in networks and systems, 2025, pp. 196–206. doi: 10.1007/978-3-031-94623-3_17. (Full Text)
*Ferdib-Al-Islam, R. Robbani, M. M. Alam, M. S. Sanim, and K. M. Hasan, “ADASEML: Hospitalization period prediction of COVID-19 patients using ADASYN and stacking based ensemble learning,” in Communications in computer and information science, 2023, pp. 3–15. doi: 10.1007/978-3-031-28183-9_1. (Full Text)
*Ferdib-Al-Islam, N. Jahan, F. Y. Rupa, S. Sarkar, S. Hossain, and Sk. S. Kabir, “Performance Analysis of ASUS Tinker and MobileNetV2 in Face Mask Detection on Different Datasets,” in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2023, pp. 283–293. doi: 10.1007/978-3-031-34619-4_23. (Full Text)
*Ferdib-Al-Islam, M. S. Sanim, Md. R. Islam, S. Rahman, R. Afzal, and K. M. Hasan, “Prediction of dementia using SMOTE based oversampling and stacking classifier,” in Lecture notes in networks and systems, 2023, pp. 441–452. doi: 10.1007/978-3-031-27409-1_40. (Full Text)
*Ferdib-Al-Islam and M. Ghosh, “COV-Doctor: A machine learning based scheme for early identification of COVID-19 in patients,” in Lecture notes on data engineering and communications technologies, 2021, pp. 39–50. doi: 10.1007/978-981-16-6636-0_4. (Full Text)
L. Akter and *Ferdib-Al-Islam, “Diabetes mellitus prediction and feature importance score finding using extreme gradient boosting,” in Lecture notes in networks and systems, 2021, pp. 643–654. doi: 10.1007/978-3-030-85990-9_52. (Full Text)
*Ferdib-Al-Islam and L. Akter, “Detection of hepatitis C virus progressed patient’s liver condition using machine learning,” in Advances in intelligent systems and computing, 2021, pp. 71–80. doi: 10.1007/978-981-16-2594-7_6. (Full Text)
L. Akter, M. Raihan, Md. M. S. Raihan, M. Ghosh, N. Alvi, and *Ferdib-Al-Islam, “Breast cancer risk prediction using different clustering techniques,” in Advances in intelligent systems and computing, 2021, pp. 191–203. doi: 10.1007/978-981-16-2597-8_16. (Full Text)
* Corresponding Author
S. Taskin and *Ferdib-Al-Islam, "Transfer Learning-based Fine Tuned MobileNetV2 Model with Explainable Artificial Intelligence for Identifying Dental Diseases," 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2024, pp. 7-12, doi: 10.1109/BECITHCON64160.2024.10962679. (Full Text)
P. Biswas, *Ferdib-Al-Islam and S. Das, "X-LeafNet: A Modified Xception Model for Identifying Tea Leaf Diseases with Explainable Artificial Intelligence," 2024 International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICISET62123.2024.10941382. (Full Text)
Md. Rahatul Islam, A. B. M. Rokon Uz Zaman, *Ferdib-Al-Islam, Faria Tabassum, Md. Araf Israk, and Md. Shakir Mahmud, "Crime Prediction by Detecting Violent Objects and Activity Using Pre-Trained YOLOv8n and MoViNet A0 Models," 2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), Karawang, Indonesia, 2023, pp. 44-49, doi: 10.1109/ICMERALDA60125.2023.10458156. (Full Text)
M. S. Sanim, *Ferdib-Al-Islam and K. M. Hasan, "Identification of COVID-19 from Other Upper Respiratory Tract Infections Using Random Undersampling and LIME-based XAI Model," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307102. (Full Text)
M. Akhtar, K. A. Ahmed and *Ferdib-Al-Islam, "An Improved Prediction of Polycystic Ovary Syndrome Using SMOTE-based Oversampling and Stacking Classifier," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307634. (Full Text)
*Ferdib-Al-Islam, M. S. Sanim, K. Mehedi Hasan, M. M. Alam, M. A. A. Walid and M. R. Islam, "Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307833. (Full Text)
*Ferdib-Al-Islam, A. Saha, E. J. Bristy, M. Rahatul Islam, R. Afzal and S. A. Ridita, "LIME-based Explainable AI Models for Predicting Disease from Patient’s Symptoms," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307223. (Full Text)
M. R. Islam, M. A. Israk, *Ferdib-Al-Islam, J. Majumder and S. Rahman, "SHD: Development of an Smart Headband for Deafblind People," 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-5, doi: 10.1109/ECCE57851.2023.10101656. (Full Text)
M. S. Parvej, M. A. A. Walid, *Ferdib-Al-Islam and A. Ghosh, "Machine Learning Classifiers for Predicting Influence of Digital Technology on Academic Performance of University Students," 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984296. (Full Text)
*Ferdib-Al-Islam and P. Chandra Shill, "An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan," 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984312. (Full Text)
M. R. Islam, R. Afzal, Asaduzzaman, *Ferdib-Al-Islam and J. Majumder, "COV-SSDS: Design and Construction of Automatic Social Distancing System to Minimize COVID-19 Infection," 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2022, pp. 1-6, doi: 10.1109/ICAEEE54957.2022.9836350. (Full Text)
*Ferdib-Al-Islam, R. Robbani, and M. W. Ullah, "COV-HM: Prediction of COVID-19 Patient’s Hospitalization Period for Hospital Management Using SMOTE and Machine Learning Techniques," in Proceedings of the 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, 2022, pp. 25–33. (Full Text)
*Ferdib-Al-Islam and P. C. Shill, "Identification of COVID-19 from Chest CT Scan Using CNN as Feature Extractor and Voting Classifier," 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 2022, pp. 1-6, doi: 10.1109/IICAIET55139.2022.9936837. (Full Text)
*Ferdib-Al-Islam and M. Ghosh, "An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, pp. 1-6, doi: 10.1109/ICCCNT51525.2021.9579648. (Full Text)
M. Ghosh and *Ferdib-Al-Islam, "NDM-Finder: A Machine Learning Based Approach for Type-2 (Neonatal) Diabetes Mellitus Prediction," 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 2021, pp. 1-6, doi: 10.1109/IICAIET51634.2021.9573579. (Full Text)
A. Das, S. D. Katha, M. S. Sadi and *Ferdib-Al-Islam, "An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters," 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), Rajshahi, Bangladesh, 2021, pp. 1-6, doi: 10.1109/ACMI53878.2021.9528227. (Full Text)
L. Akter and *Ferdib-Al-Islam, "Dementia Identification for Diagnosing Alzheimer's Disease using XGBoost Algorithm," 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 2021, pp. 205-209, doi: 10.1109/ICICT4SD50815.2021.9396777. (Full Text)
*Ferdib-Al-Islam, L. Akter and M. M. Islam, "Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques," 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), DHAKA, Bangladesh, 2021, pp. 445-450, doi: 10.1109/ICREST51555.2021.9331108. (Full Text)
*Ferdib-Al-Islam and L. Akter, "Early Identification of Parkinson's Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques," 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, 2020, pp. 1-6, doi: 10.1109/ETCCE51779.2020.9350870. (Full Text)
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