Sheikh Mohammed Shariful Islam
Orcid: 0000-0001-7926-9368
According to our database1,
Sheikh Mohammed Shariful Islam
authored at least 27 papers
between 2020 and 2025.
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Bibliography
2025
Artif. Intell. Rev., June, 2025
Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.
CoRR, April, 2025
Perceptions of healthcare professionals and patients with cardiovascular diseases on mHealth lifestyle apps: A qualitative study.
Int. J. Medical Informatics, 2025
Atrous spatial pyramid pooling with swin transformer model for classification of gastrointestinal tract diseases from videos with enhanced explainability.
Eng. Appl. Artif. Intell., 2025
Smart offloading for IoT application: Building a fog-cloud based context aware offloading framework and exploring potential for integration with blockchain.
Comput. Electr. Eng., 2025
2024
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning.
Expert Syst. Appl., 2024
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data.
CoRR, 2024
CoRR, 2024
Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review.
IEEE Access, 2024
Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism".
IEEE Access, 2024
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
IEEE Access, 2024
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images.
IEEE Access, 2024
2023
Oper. Res. Forum, March, 2023
2022
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps.
Intell. Syst. Appl., 2022
Healthcare providers' perspectives on using smart home systems to improve self-management and care in people with heart failure: A qualitative study.
Int. J. Medical Informatics, 2022
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes.
Health Inf. Sci. Syst., 2022
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method.
Comput. Biol. Medicine, 2022
Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021
2020
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
CoRR, 2020
Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints.
IEEE Access, 2020