Book Chapters (2)
- 1. Sanzida Islam, Abdul Matin, Hafsa Binte Kibria; "Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications", Springer International Publishing, 2022
- 2. Hafsa Binte Kibria, Abdul Matin; "An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease", Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing. Springer, Cham., 2020
Journal Articles (6)
- 1. Md Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, Amith Khandakar, Mohamed Arselene Ayari, Md Faysal Ahamed, Mominul Ahsan, Julfikar Haider, Mohammad Ali Moni, Marcin Kowalski; "A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images", Scientific Reports, 2025
- 2. Hafsa Binte Kibria, Md Ali Hossain, Shazia Rehman, Damminda Alahakoon, Md Anisur Rahman; "An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays", Neural Computing and Applications, 2025
- 3. Md Nahiduzzaman, Md Faysal Ahamed, Mansura Naznine, Md Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider; "An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability", Knowledge-Based Systems, 2025
- 4. Hafsa Binte Kibria, Md Nahiduzzaman, Md Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider; "An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI", Sensors, 2022
- 5. Hafsa Binte Kibria, Abdul Matin; "The Severity prediction of the binary and multi-class cardiovascular disease-A machine learning-based fusion approach", Computational Biology and Chemistry, 2022
- 6. Hafsa Binte Kibria, Oishi Jyoti, Abdul Matin; "Forecasting the spread of the third wave of COVID-19 pandemic using time series analysis in Bangladesh", Informatics in Medicine Unlocked, 2021
Conference Papers (12)
- 1. Mahbuba Habib, Hafsa Binte Kibria; "Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI", IEEE, 2024
- 2. Zareen Tasnim Pear, Hafsa Binte Kibria; "Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset", IEEE, 2024
- 3. Tanzim Ahad, Hafsa Binte Kibria, Md Yusuf Mehemud; "MultiClass Classification of Chest Diseases using CXR Images with DenseNet201+ CNN and Grad CAM Visualization", IEEE, 2024
- 4. Hafsa Binte Kibria, MD Ali Hossain; "Detecting COVID-19 and Lung Diseases Utilizing Parallel CNN Model on Chest X-Rays Enhanced with GradCAM Visualization", IEEE, 2024
- 5. Zakia Afrin, Fariya Tabassum, Hafsa Binte Kibria, MD Rafi Imam, Md Rokibul Hasan; "YOLOv8 Based Object Detection for Self-driving Cars", IEEE, 2023
- 6. Hafsa Binte Kibria, Md Ali Hossain; "Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray", IEEE, 2023
- 7. Nazmin Islam, Hafsa Binte Kibria; "Enhancing Stroke Prediction through Interpretable AI: Distinguishing Stroke Cases from Non-Stroke Cases", IEEE, 2023
- 8. Md Yusuf Mehemud, Hafsa Binte Kibria, Abdus Salam; "Efficient Brain Tumor Classification through Transfer Learning Models", IEEE, 2023
- 9. Oishi Jyoti, Hafsa Binte Kibria, Md Munawar Hossain; "A Machine Learning Approach for Distribution Transformer Fault Detection", IEEE, 2023
- 10. Iffat Zabin Tonu, Abdul Matin, Hafsa Binte Kibria; "Vision Based Human Action Classification Using CNN model with Mode Calculation", IEEE, 2021
- 11. Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan, Sanzida Islam; "A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction", 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 10-12 Nov. 2021, Mexico City, Mexico, 2021
- 12. Hafsa Binte Kibria, Abdul Matin, Sanzida Islam; "Comparative Analysis of Two Artificial Intelligence Based Decision Level Fusion Models for Heart Disease Prediction", International Semantic Intelligence Conference (ISIC), 2020, CEUR-WS.org, 2020