Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...
The first half of 2025 logged the most damaging extreme weather on record in terms of cost, even after accounting for inflation, data shows. This is partly because of a handful of extraordinary events ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
Abstract: This research intends to create a novel approach for solving fractional differential equations (FDEs) of both linear and nonlinear types utilizing the fractional shifted Legendre neural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results