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Md. Asraf Ali

Observed name: Asraf Ali
ORCID: 0000-0002-4732-5529
Observed ORCID: 0000-0002-4732-5529
OpenAlex ID: A5003280433
NefroAI: An Explainable and Real-Time Framework for Predicting Chronic Kidney Disease Using Diverse Machine Learning Models and Different Feature Selection Techniques
2025 · Md Sadi Al Huda, Esrath Kanon, et al. · IEEE Access · 6
LungXResViT: A Robust Hybrid DL Framework for Accurate Lung Cancer Classification with XAI
2025 · Tahmid Enam Shrestha, Jariatun Islam, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS) · 1
A Novel Explainable Deep Learning Model for Early-Stage Brain Tumor Classification: Multi-Level Feature Fusion from Merged MRI Datasets
2026 · Md Sadi Al Huda, Kazi Tanvir, et al. · Artificial Intelligence and Applications
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Evaluation of YOLO-based object detection models for real-time identification of fowl pox in poultry farming applications
2026 · Syamimi Mardiah Shaharum, M. A. S. N. Azmi, et al. · IET conference proceedings.
GlaucoNet: a convolutional neural network for enhancing glaucoma disease classification using optical coherence tomography images at early stage
2026 · Md. Abu Towsif, Farjana Yesmin Opi, et al. · IET conference proceedings.
CardioSafeAI: An Explainable Federated Machine Learning Framework with Multi-Stage Hybrid Feature Selection for Cardiovascular Disease Prediction
2026 · Anika Sarker Emo, Md Sadi Al Huda, et al.
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OvFusionX-Net: An Explainable Deep Learning Model with Attention Mechanism for Early-Stage Ovarian Cancer Classification
2026 · Neyamul Islam, Shimanto Kumar, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
BTdiagAI: A Web‐Deployed Hybrid Framework for Brain Tumor Classification Using Optimized MRI Preprocessing and Deep Learning Fusion
2026 · Faysal Ahmmed, Asef Rahman Antik, et al. · Healthcare Technology Letters
ViTBiT-PoxNet: An Explainable Hybrid Deep Learning Framework for Enhanced Early-Stage Monkeypox Classification
2026 · Md Sadi Al Huda, Tahmid Enam Shrestha, et al. · Lecture notes in networks and systems
Predicting Sleep Disorders in Late Sleepers Using Supervised Machine Learning
2025 · Md. Jobayer Ahmed, Md Arman Hossain, et al. · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
Securing TLS in the Quantum Era: A Robust Hybrid Protocol with Kyber, X25519, and Dilithium
2025 · Abu Sayem, Tahmid Enam Shrestha, et al. · International Conference on Computer and Information Technology (ICCIT)
Ova-FedEffXAI: A Federated Explainable Hybrid Deep Learning Framework for Early and Accurate Classification of Ovarian Cancer
2025 · Md Sadi Al Huda, Md. Shamsul Alam, et al. · International Conference on Computer and Information Technology (ICCIT)
Development and Optimization of a Deep Learning Model Based on Inception v3 for Automated Detection of Retinopathy Using Optical Coherence Tomography Images
2025 · Devdoot Parial, Punam Das, et al. · IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)
Glaucoma Detection using the Fundus Retinal Images
2020 · Amit Kumar Mourya, Barkat Ali, et al.
The Significance of Automated System Development for Asthma Disease in Malaysia
2014 · Syamimi Mardiah Shaharum, Kenneth Sundaraj, et al. · Movement, Health and Exercise Conference (MoHE)
Works count: 15
Citation count: 7
H-index: 1
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