Machine learning methods on BioVid heat pain database for pain intensity estimation
In this study, we developed and evaluated a set of deep learning models and transformers—CNN, CvT, MobileViT, and VGG16—to estimate...
Learning
Multi-output deep learning for high-frequency prediction of air and surface temperature in Kuwait
Salam, M. A. & Mazrooei, S. A. Changing patterns of climate in Kuwait. Asian J. Water Environ. Pollut. 4(1), 119–124...
Development of a machine learning model for early pulmonary tuberculosis diagnosis using blood test biomarkers | BMC Infectious Diseases
Teo AKJ, Singh SR, Prem K, Hsu LY, Yi S. Duration and determinants of delayed tuberculosis diagnosis and treatment in...
A new ML paradigm for continual learning
The last decade has seen incredible progress in machine learning (ML), primarily driven by powerful neural network architectures and the...
Machine learning and bayesian network based on fuzzy AHP framework for risk assessment in process units
Abdullah, K. H. & Sofyan, D. Machine learning in safety and health research: a scientometric analysis. Int. J. Inf. Sci....
Explainable attention-based deep learning for classification and interpretation of heart murmurs using phonocardiograms
This section provides a comprehensive evaluation of the proposed Explainable HeartSound Transformer (EHST) for multi-class heart sound diagnosis. We assess...
