Abstract: Irregular event streams are common in domains such as finance, healthcare, and e-commerce, where the underlying data-generating processes are often highly complex and vary widely in scale.

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

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...

It is mentioned in the paper - "A second branch embeds fj via depth-wise convolution and passes it through an SSM layer". I failed to understand the DWConv layer after I printed the model summary. For ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

Abstract: In very large scale integration (VLSI) circuit physical design, precise congestion prediction during placement is crucial for enhancing routability and accelerating design processes.