Hafsa Binte Kibria

According to our database, Hafsa Binte Kibria authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

ED-Net: A hybrid deep learning framework for precise polyp segmentation integrating EfficientNetB0 with Double U-Net architecture and Atrous Spatial Pyramid Pooling with test-time augmentation.

Rahul Kumar Kundu, Hafsa Binte Kibria, Md. Faysal Ahamed, Muhammad E. H. Chowdhury

Biomed. Signal Process. Control., 2026

PDP-PINN: A Fourier-Augmented Physics-Informed Neural Network for Pressure Drop Prediction in CO₂-Injected Porous Media.

Nafisa Binte Ghulam Kibria, Amith Khandakar, Md. Faysal Ahamed, Hafsa Binte Kibria, Mohammad Azizur Rahman, Mohamed Arselene Ayari

IEEE Access, 2026

2025

GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization.

Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria, Md. Nahiduzzaman, Julfikar Haider, Muhammad E. H. Chowdhury, Mohammad Tariqul Islam

CoRR, September, 2025

An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays.

Hafsa Binte Kibria, Md. Ali Hossain, Shazia Rehman, Damminda Alahakoon, Md Anisur Rahman

Neural Comput. Appl., 2025

An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability.

Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider

Knowl. Based Syst., 2025

Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach.

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

Comput. Electr. Eng., 2025

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI.

Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md. Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

IEEE Access, 2025

2024

Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset.

Zareen Tasnim Pear, Hafsa Binte Kibria

Proceedings of the 21st International Conference on Electrical Engineering, 2024

2023

Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray.

Hafsa Binte Kibria, Md. Ali Hossain

Proceedings of the 20th International Conference on Electrical Engineering, 2023

2022

An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI.

Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider

Sensors, 2022

The severity prediction of the binary and multi-class cardiovascular disease - A machine learning-based fusion approach.

Hafsa Binte Kibria, Abdul Matin

Comput. Biol. Chem., 2022

2021

Comparative analysis of two artificial intelligence based decision level fusion models for heart disease prediction.

Hafsa Binte Kibria, Abdul Matin, Sanzida Islam

Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications.

Sanzida Islam, Abdul Matin, Hafsa Binte Kibria

ICO, 2021

A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction.

Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan, Sanzida Islam

Proceedings of the 18th International Conference on Electrical Engineering, 2021

2020

An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease.

Hafsa Binte Kibria, Abdul Matin

ICO, 2020