Md. Khairul Islam
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
CoRR, April, 2026
SwinTextUNet: Integrating CLIP-Based Text Guidance into Swin Transformer U-Nets for Medical Image Segmentation.
CoRR, April, 2026
A hybrid swin transformer-BiLSTM framework and ensemble learning for multimodal brain stroke detection and risk prediction.
Comput. Biol. Medicine, 2026
2025
A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region.
Comput. Biol. Medicine, 2025
Targeting MMP-7 in idiopathic pulmonary fibrosis: An integrative in vivo and in silico evaluation of the therapeutic potential of Tylophora indica.
Comput. Biol. Medicine, 2025
IEEE Access, 2025
2024
Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach.
Image Vis. Comput., 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions - A Systematic Review.
CoRR, 2024
TransMixer-AF: Advanced Real-Time Detection of Atrial Fibrillation Utilizing Single-Lead Electrocardiogram Signals.
IEEE Access, 2024
Unlocking the Potential of XAI for Improved Alzheimer's Disease Detection and Classification Using a ViT-GRU Model.
IEEE Access, 2024
Enhancing Data Integrity and Traceability in Industry Cyber Physical Systems (ICPS) through Blockchain Technology: A Comprehensive Approach.
Adv. Artif. Intell. Mach. Learn., 2024
2023
Expert Syst. Appl., April, 2023
CoRR, 2023
Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images.
Proceedings of the Brain Informatics - 16th International Conference, 2023
2022
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights.
CoRR, 2022
Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification.
ICO, 2022
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022
Early Exposing Cardiovascular Disease Identification Using Machine Learning Approach.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022
People Thoughts Prediction Using Machine Learning on Online Shopping in Bangladesh During COVID-19 Pandemic.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022
2021
2020
Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things.
Sensors, 2020
2019
Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm.
Big Data Cogn. Comput., 2019
2018
Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System.
Big Data Cogn. Comput., 2018