Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently ...

AI-generated deception is best detected not by examining isolated data points, but by analyzing how content behaves over time ...

Abstract: Accurate and efficient cellular traffic prediction is crucial for enhancing the user quality of experience in mobile networks. However, this task faces significant challenges due to the ...

Our demo for skeleton based action recognition: ST-GCN is able to exploit local pattern and correlation from human skeletons. Below figures show the neural response magnitude of each node in the last ...

A complete end-to-end reinforcement learning pipeline for intraday stock trading using Soft Actor-Critic (SAC), featuring a custom Gym environment, market data feature engineering, and automated ...

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...

Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...

Abstract: In this paper, we present a hierarchical neural network based on convolutional and attention modeling for short and long-range video reasoning, called Spatio-Temporal Convolution-Attention ...