Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...
As AI is increasingly used in defense operations, a critical question emerges: Who controls the system - the military or the ...
A new method for identifying types of plastics, built on advanced spectral imaging and machine learning, could make recycling ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Anthropic's new powerful AI model, Mythos, designed to detect software vulnerabilities faster than human hackers, will be ...
Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths - around 1.8 million lives lost each year.
Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...
ML Module — Seven classical machine learning classifiers trained on a real-world IoT sensor dataset (62,630 readings, 13 sensor channels) achieve near-perfect AUC-ROC scores above 0.999. DL Module — A ...
Abstract: Accurate fatigue state assessment of helicopter rotors is essential for structural health monitoring, enabling early identification of degradation and improved operational safety. However, ...
Abstract: The method uses a new approach for classifying leukaemia by connecting a CNN with an SVM classifier built especially for the task. Because white blood cell morphology diagnosis is crucial ...
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