The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...
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 ...
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: The planetary boundary layer (PBL) height (PBLH), as a critical meteorological parameter, plays a pivotal role in atmospheric dynamics, climate, and pollution diffusion studies. A radar wind ...
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 ...
Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...
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