Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...