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Md. Khairul Islam

Tomato Plant Diseases Classification Using Deep Learning Based Classifier From Leaves Images
2021 · Sultana Umme Habiba, Md. Khairul Islam · International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) · 64
A Comparative Study on Fake Job Post Prediction Using Different Data mining Techniques
2021 · Sultana Umme Habiba, Md. Khairul Islam, et al. · International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) · 47
Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms with Feature Selection Techniques
2024 · Sultana Umme Habiba, Farzana Tasnim, et al. · Communications in computer and information science · 27
Bangladeshi Plant Recognition using Deep Learning based Leaf Classification
2019 · Sultana Umme Habiba, Md. Khairul Islam, et al. · International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) · 23
Bangladeshi Plant Leaf Classification and Recognition Using YOLO Neural Network
2019 · Md. Khairul Islam, Sultana Umme Habiba, et al. · 20
COV-RadNet: A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans
2022 · Md. Khairul Islam, Sultana Umme Habiba, et al. · Computer Methods and Programs in Biomedicine Update · 18
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Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification
2022 · Sultana Umme Habiba, Md. Khairul Islam, et al. · Lecture notes in networks and systems · 17
Enhancing Human Stress Detection from Optimized and Selected Features Using Feed Forward Neural Network
2024 · Sultana Umme Habiba, Tanjim Mahmud, et al. · Lecture notes in networks and systems · 15
Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer’s Disease Detection from MRI Images
2023 · Sultana Umme Habiba, Tanoy Debnath, et al. · Lecture notes in computer science · 13
Environmental Contamination of Heavy Metals in Fish and Water Samples of Shitalakkhya River, Dhaka, Bangladesh
2018 · Parsha Shanjana Brishti, Md. Khairul Islam, et al. · The International Journal of Science & Technoledge · 6
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A Hybrid ViT-GRU Approach for Brain Tumor Detection and Classification in MRI Images with Explainable Artificial Intelligence
2024 · Md. Mahfuz Ahmed, Md. Maruf Hossain, et al. · IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) · 4
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
2024 · Islam, Md. Khairul, Fox, Judy · arXiv (Cornell University) · 2
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Does Differential Privacy Impact Bias in Pretrained NLP Models?
2024 · Islam, Md. Khairul, Wang, Andrew, et al. · arXiv (Cornell University) · 2
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Zero-Shot Face Recognition via Fine-Tuning CLIP with Contrastive Alignment
2025 · Md. Khairul Islam, Nusrat Jahan Iqra, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 1
Towards Developing a DDPM-Based Adversarial Purification Method with Noise-Guided Timestep Selection
2026 · Md. Sajid Alam Chowdhury, Md. Khairul Islam, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
EmoPalette: Visual Emotion Recognition and Adaptive Color Palette Generation
2026 · Wahida Mahjabin, Mohtasim Fuad, et al. · Lecture notes in computer science
A Unified Adversarial Defence Framework: Diffusion‐Driven Purification with Adaptive Timestep Selection and Detection via Reconstruction Consistency Features
2026 · Md. Sajid Alam Chowdhury, Md. Khairul Islam, et al. · IET Image Processing
Explainable Dual‐Stream Graph Learning With Attention Fusion for Multi‐Stage Hepatitis C Classification
2026 · Abdul Aziz Patwary, Sharifun Nahar Priya, et al. · Healthcare Technology Letters
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Human Age Estimation and Gender Classification Using Deep Convolutional Neural Network
2020 · Md. Khairul Islam, Sultana Umme Habiba · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Works count: 19
Citation count: 259
H-index: 9
I10-index: 9
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