IEEE

Adaptive Cyclic Learning Rate for Long-Term Time-Series Forecasting on Encoder-Decoder and Encoder-Only Deep Learning Model Architectures

Abstract: Long-term time-series forecasting remains a critical challenge, with deep learning models often facing persistent training instability. This study reveals a critical insight: the ...
IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...