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Author

Hafsa Binte Kibria

Observed name: Kibria, Hafsa Binte
ORCID: 0000-0003-4775-8639
Observed ORCID: 0000-0003-4775-8639
OpenAlex ID: A5059149452
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
2022 · Hafsa Binte Kibria, Md Nahiduzzaman, et al. · Sensors · 157
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A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
2025 · Md. Nahiduzzaman, Lway Faisal Abdulrazak, et al. · Scientific Reports · 107
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An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability
2025 · Md. Nahiduzzaman, Md. Faysal Ahamed, et al. · Knowledge-Based Systems · 92
The severity prediction of the binary and multi-class cardiovascular disease − A machine learning-based fusion approach
2022 · Hafsa Binte Kibria, Abdul Matin · Computational Biology and Chemistry · 81
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Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach
2025 · Amith Khandakar, Azad Ashraf, et al. · Computers & Electrical Engineering · 21
Forecasting the spread of the third wave of COVID-19 pandemic using time series analysis in Bangladesh
2021 · Hafsa Binte Kibria, Oishi Jyoti, et al. · Informatics in Medicine Unlocked · 21
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Efficient Brain Tumor Classification through Transfer Learning Models
2023 · Md. Yusuf Mehemud, Hafsa Binte Kibria, et al. · International Conference on Computer and Information Technology (ICCIT) · 16
Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset
2024 · Zareen Tasnim Pear, Hafsa Binte Kibria · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · 14
YOLOv8 Based Object Detection for Self-driving Cars
2023 · Zakia Afrin, Fariya Tabassum, et al. · International Conference on Computer and Information Technology (ICCIT) · 14
A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction
2021 · Hafsa Binte Kibria, Abdul Matin, et al. · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · 13
MultiClass Classification of Chest Diseases using CXR Images with DenseNet201+CNN and Grad CAM Visualization
2024 · Tanzim Ahad, Hafsa Binte Kibria, et al. · IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) · 10
A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
2025 · Oishi Jyoti, Hafsa Binte Kibria, et al. · IEEE Access · 8
An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays
2024 · Hafsa Binte Kibria, Md Ali Hossain, et al. · Neural Computing and Applications · 6
A Machine Learning Approach for Distribution Transformer Fault Detection
2023 · Oishi Jyoti, Hafsa Binte Kibria, et al. · International Conference on Power Systems (ICPS) · 6
An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease
2021 · Hafsa Binte Kibria, Abdul Matin · Advances in intelligent systems and computing · 6
Comparative analysis of two artificial intelligence based decision level fusion models for heart disease prediction.
2021 · Hafsa Binte Kibria, Abdul Matin, et al. · 4
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
2025 · Md. Nahiduzzaman, Lway Faisal Abdulrazak, et al. · Scientific Reports · 3
Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI
2024 · Mahbuba Habib, Hafsa Binte Kibria · International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) · 3
Vision Based Human Action Classification Using CNN model with Mode Calculation
2021 · Iffat Zabin Tonu, Abdul Matin, et al. · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) · 3
Explainable Stacking-Based Regression Model for Concrete Strength Prediction: PSO vs. Bayesian Optimization
2025 · Zareen Tasnim Pear, Tanha Anil, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 2
Balancing Accuracy and Reliability: Addressing Class Imbalance, Outlier Handling, and Data Leakage in Water Potability Prediction
2025 · Sanjila Parvin, Md. Ali Hossain, et al. · International Conference on Electrical, Computer and Communication Engineering · 2
Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications
2021 · Sanzida Islam, Abdul Matin, et al. · Lecture notes in networks and systems · 2
RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks
2026 · Aziz, Abid, Kibria, Hafsa Binte · arXiv (Cornell University) · 1
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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
2026 · Rahul Kumar Kundu, Hafsa Binte Kibria, et al. · Biomedical Signal Processing and Control · 1
Adaptive BitFit: Gradient-Driven Sparse Bias Fine-Tuning for Efficient Cancer Classification
2026 · Nafisa Binte Ghulam Kibria, Md Masum Mia, et al. · IEEE Access · 1
Works count: 44
Citation count: 605
H-index: 10
I10-index: 11
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