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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina.
CoRR, 2024

Current and future roles of artificial intelligence in retinopathy of prematurity.
CoRR, 2024

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
IEEE Access, 2024

2023
Identification of Clinical Features Associated with Mortality in COVID-19 Patients.
Oper. Res. Forum, March, 2023

2022
Smartphone as a Disease Screening Tool: A Systematic Review.
Sensors, 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

Pathogenetic profiling of COVID-19 and SARS-like viruses.
Briefings Bioinform., 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


  Loading...