For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Abstract: Pneumatic artificial muscles (PAMs) are essential in robotics systems designed to mimic the human musculoskeletal structure, particularly in applications for rehabilitation, due to their ...
Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
ABSTRACT: With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness ...
NORMAN — John Mateer hasn’t been the same since making his long-awaited return. Mateer, who returned from his hand injury on Oct. 11, has completed just 57.9 percent of his passes for just two ...
Short-term disability is a type of government-run insurance or employer benefit that gives you income replacement for a temporary period when you are unable to work due to a covered illness, injury, ...
Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
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