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Author

Sadia Nawar

ORCID: 0009-0003-7899-077X
Observed ORCID: 0009-0003-7899-077X
OpenAlex ID: A5095828838
Beyond the Black Box: Employing LIME and SHAP for Transparent Health Predictions with Machine Learning Models
2024 · Kahakashan Ashraf, Sadia Nawar, et al. · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · 16
Enhancing Pneumonia Detection: CNN Interpretability with LIME and SHAP
2024 · Md. Hamid Hosen, Arnob Saha, et al. · International Conference on Electrical Engineering and Information Communication Technology · 9
Analyzing Abusive Bangla Comments on Social Media: NLP & Explainable AI
2024 · Kahakashan Ashraf, Md. Hamid Hosen, et al. · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · 7
Unveiling Predictive Factors in Apple Quality: Leveraging LIME, SHAP, and the Synergy of Machine Learning Models and Artificial Neural Networks
2024 · Rituparna Chowdhury, Rudra Das, et al. · International Conference on Electrical Engineering and Information Communication Technology · 5
Predictive Modeling of Anxiety Levels in Bangladeshi University Students: A Voting-Based Approach with LIME and SHAP Explanations
2024 · Mohammad Tanvirul Islam, Kahakashan Ashraf, et al. · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · 4
Automated Paddy Disease Detection: A Deep Learning Approach
2024 · Md. Mostafijur Rahman, Md. Hamid Hosen, et al. · International Conference on Computing Advancements (ICCA) · 3
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From Social Media to Mental Health Insights: A Hybrid CNN-LSTM Model for Depression Detection in Bangladesh
2024 · Tuntusree Banik, Safa Asgar, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS) · 3
Advance Step to Protect Agriculture: A Deep Dive into Enhancing Food Security Through EfficientNet-B0 and XAI in Plant Disease Classification
2024 · Sadia Nawar, Altaf Uddin, et al. · International Conference on Computing Advancements (ICCA) · 2
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Advancing Medical Imaging: High-Performance Brain Tumor Detection and Classification Using Deep Learning and Grad CAM Visualization
2024 · Mikdad Mohammad Asif, Sadia Nawar, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS) · 2
Enhancing Space Debris Detection and Classification Using Optimized YOLO Variants
2025 · Sadia Nawar, Tanvir Azhar · International Conference on Electrical, Computer and Communication Engineering · 1
Towards Interpretable Diabetes Prediction: A Comparative Study of Machine Learning Models with Explainable AI using LIME and SHAP
2024 · Arnob Saha, Md Fahim Foysal, et al. · International Conference on Computer and Information Technology (ICCIT) · 1
Enhancing Glaucoma Diagnosis with Explainable AI Using Vision Transformers and Advanced Deep Learning Techniques
2024 · Naima Tasnia, Md.Hamid Hosen, et al. · IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) · 1
Evaluating the effectiveness of open-weight LLMs for multi-domain Bengali text classification with zero-shot and few-shot prompting
2026 · Md. Hamid Hosen, Sadia Nawar, et al. · PLoS ONE
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Works count: 13
Citation count: 54
H-index: 4
I10-index: 1
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