Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...