Abstract: In Transformer-based hyperspectral image classification (HSIC), predefined positional encodings (PEs) are crucial for capturing the order of each input token. However, their typical ...

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention" published ar CVPR 2020. Satellite image time series, ...

Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated superior ...

Aircraft trajectory prediction is vital for ensuring safe and efficient air travel while addressing challenges in complex and dynamic environments. Current trajectory prediction models often struggle ...

In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision Transformer method ...

Based on the learned representation, Mol-PECO directly predicts 118 odor descriptors of perception for each odorant molecule. Mol-PECO achieves the area under the receiver operating characteristic ...

Understanding how the brain recognizes visual stimuli has contributed to computer science–based static image recognition technologies, suggesting that information about brain-based strategies for ...

Hyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable ...

The wet-dog shake behavior (WDS) is a short-duration behavior relevant to the study of various animal disease models, including acute seizures, morphine abstinence, and nicotine withdrawal. However, ...