An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques. - Ferdib-Al-Islam; Mounita Ghosh (ICCCNT, 2021)

NDM-Finder: A Machine Learning Based Approach for Type-2 (Neonatal) Diabetes Mellitus Prediction. - Mounita Ghosh; Ferdib-Al-Islam (IICAIET, 2021)

Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. - Laboni Akter; Ferdib-Al-Islam; Md. Milon Islam; Mabrook S. Al-Rakhami; Md. Rezwanul Haque (SN Comput. Sci., 2021)

COV-HM: Prediction of COVID-19 Patient's Hospitalization Period for Hospital Management Using SMOTE and Machine Learning Techniques. - Ferdib-Al-Islam; Rayhan Robbani; Md. Wali Ullah (ICCA, 2022)

An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan. - Ferdib-Al-Islam; Pintu Chandra Shill (ICCCNT, 2022)

Machine Learning Classifiers for Predicting Influence of Digital Technology on Academic Performance of University Students. - Md. Shamim Parvej; Md. Abul Ala Walid; Ferdib-Al-Islam; Arjan Ghosh (ICCCNT, 2022)

Identification of COVID-19 from Chest CT Scan Using CNN as Feature Extractor and Voting Classifier. - Ferdib-Al-Islam; Pintu Chandra Shill (IICAIET, 2022)

Performance Analysis of ASUS Tinker and MobileNetV2 in Face Mask Detection on Different Datasets. - Ferdib-Al-Islam; Nusrat Jahan; Farjana Yeasmin Rupa; Suprio Sarkar; Sifat Hossain; Sk. Shalauddin Kabir (MIET (1), 2022)

An Improved Prediction of Polycystic Ovary Syndrome Using SMOTE-based Oversampling and Stacking Classifier. - Maimuna Akhtar; Kazi Asif Ahmed; Ferdib-Al-Islam (ICCCNT, 2023)

LIME-based Explainable AI Models for Predicting Disease from Patient's Symptoms. - Ferdib-Al-Islam; Antor Saha; Esrat Jahan Bristy; Md. Rahatul Islam; Rafi Afzal; Sadia Afrin Ridita (ICCCNT, 2023)

Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation. - Ferdib-Al-Islam; Mostofa Shariar Sanim; Khan Mehedi Hasan; Md Magfur Alam; Md. Abul Ala Walid; Md. Rahatul Islam (ICCCNT, 2023)

Identification of COVID-19 from Other Upper Respiratory Tract Infections Using Random Undersampling and LIME-based XAI Model. - Mostofa Shariar Sanim; Ferdib-Al-Islam; Khan Mehedi Hasan (ICCCNT, 2023)