Weather data forecasting is one of the hot research fields in time series analysis. The most classic research is to establish a weather sequence analysis model based on the assumption of stationarity.

Specifically, we degrade the point cloud with certain corruptions as input, and learn an encoder-decoder model to reconstruct the original point cloud from its corrupted version.

Monitoring the health condition of industrial drives, especially, induction motors is crucial to maintaining the reliability and efficiency of industrial processes. Fault detection techniques tend to ...

Steel-concrete composite structures are widely used in industrial and civil infrastructure due to their better structural performance. Composite constructions let engineers maximise the benefits of ...

The existing encoder–decoder model, or encoder–decoder model with atrous convolutions, has exposed its limitations under diverse environments, such as road scales, shadows, building occlusions, and ...

Research on face video super-resolution has made significant strides at 2x and 4x magnification, but there is comparatively less work on higher magnification tasks. Leveraging the spatial processing ...

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards ...

It builds on the encoder-decoder model architecture where the input is encoded and passed to a decoder in a single pass as a fixed-length representation instead of the per-token processing ...

With the advent of the 5.5G era, integrated sensing and communication (ISAC) technology has emerged, demonstrating its high-precision sensing capabilities across industries like wireless communication ...

The CAGEC model employs an innovative dual-encoder structure, combining the encoder of the Transformer model with a Bi-GRU (Bidirectional Gated Recurrent Unit) neural network, and integrates encoding ...