Abstract: This study introduces an innovative air quality prediction model, TD-CS-Transformer, which fuses time series decomposition and convolutional sparse self-attention Transformer model. It ...
Abstract: Vision transformers (ViTs) have emerged as a successful alternative to convolutional neural networks (CNNs) in deep learning (DL) applications for computer vision (CV), particularly ...
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