Sheikh Mohammed Shariful Islam
Orcid: 0000-0001-7926-9368
According to our database1,
Sheikh Mohammed Shariful Islam
authored at least 18 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
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