BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
AI researcher François Chollet sums it up this way: “In the last decade, deep learning has achieved nothing less than a technological revolution.” Each of these achievements would have been a ...
Abstract: In practical applications, array imperfections frequently arise and significantly degrade the precision of directionof-arrival (DOA) estimation. Currently, with the development of deep ...
Abstract: This paper presents a sector-specific employment forecasting framework that integrates deep learning with heterogeneous labor market data, including job postings and macroeconomic indicators ...
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