Hafsa Binte Kibria

15 papers Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PDP-PINN: A Fourier-Augmented Physics-Informed Neural Network for Pressure Drop Prediction in CO IEEE Access Nafisa Binte Ghulam Kibria, Amith Khandakar, Md. Faysal Ahamed, Hafsa Binte Kibria, Mohammad Azizur Rahman, Mohamed Arselene Ayari
2025	J	`jnl`	A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI. IEEE Access Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md. Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury
2025	J	`jnl`	An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. Knowl. Based Syst. Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider
2025	J	`jnl`	An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays. Neural Comput. Appl. Hafsa Binte Kibria, Md. Ali Hossain, Shazia Rehman, Damminda Alahakoon, Md Anisur Rahman
2025	J	`jnl`	Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach. Comput. Electr. Eng. Amith Khandakar, Azad Ibn Ashraf, Mohamed Arselene Ayari, Amin Esmaeili, Mohannad Aljarrah, Philips Michael, Md. Nahiduzzaman, Hafsa Binte Kibria, Vasiliki Maria Gerokosta, Abdul Ahad Shehbaz, Maryam Abdulla R. A. Al-Mansoori, Farah Khattab
2025	J	`jnl`	GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization. CoRR Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria, Md. Nahiduzzaman, Julfikar Haider, Muhammad E. H. Chowdhury, Mohammad Tariqul Islam
2024	—	`conf`	Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset. CCE Zareen Tasnim Pear, Hafsa Binte Kibria
2023	—	`conf`	Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray. CCE Hafsa Binte Kibria, Md. Ali Hossain
2022	J	`jnl`	An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI. Sensors Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider
2022	J	`jnl`	The Severity Prediction of The Binary And Multi-Class Cardiovascular Disease - A Machine Learning-Based Fusion Approach. CoRR Hafsa Binte Kibria, Abdul Matin
2022	J	`jnl`	The severity prediction of the binary and multi-class cardiovascular disease - A machine learning-based fusion approach. Comput. Biol. Chem. Hafsa Binte Kibria, Abdul Matin
2021	—	`conf`	A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction. CCE Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan, Sanzida Islam
2021	—	`conf`	Comparative analysis of two artificial intelligence based decision level fusion models for heart disease prediction. ISIC Hafsa Binte Kibria, Abdul Matin, Sanzida Islam
2021	—	`conf`	Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications. ICO Sanzida Islam, Abdul Matin, Hafsa Binte Kibria
2020	—	`conf`	An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease. ICO Hafsa Binte Kibria, Abdul Matin