A newly discovered toolkit called DKnife has been used since 2019 to hijack traffic at the edge-device level and deliver ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
New NIH grant awards $2.5 million over 5 years for mechanistic study BURLINGTON, Mass. and JERUSALEM, Nov. 04, 2025 (GLOBE NEWSWIRE) -- BrainsWay Ltd. (NASDAQ & TASE: BWAY) (“BrainsWay” or the ...
Abstract: The non-convexity of rate-splitting precoder design precludes the direct use of efficient convex optimization algorithms. Instead, successive convex approximation (SCA)-based methods have ...
An important but unresolved question in deep learning for EEG decoding is which features neural networks learn to solve the task. Prior interpretability studies have mainly explained individual ...
This demo shows how to use transformer networks to model the daily prices of stocks in MATLAB®. We will predict the price trends of three individual stocks and use the predicted time series values to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results