Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Enhancing Predictive Accuracy of LSTM Neural Networks for Diabetes Risk through K-Fold Cross-Validation: Comparison with K-Nearest Neighbors and Expert Systems

Abstract: Diabetes is a metabolic disease with a rapidly increasing prevalence worldwide. Developing accurate diabetes risk prediction methods is crucial to enable earlier intervention and optimize ...
IEEE

TSCCD: Temporal Self-Construction Cross Domain Learning for Unsupervised Hyperspectral Change Detection

Abstract: Multi-temporal hyperspectral imagery (HSI) has become a powerful tool for change detection (CD) owing to its rich spectral signatures and detailed spatial information. Nevertheless, the ...