Abstract: This paper presents the design of an intelligent image recognition algorithm based on optical sensors and Generative Adversarial Networks (GAN). In today’s digital era, the growth of image ...
Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...
Abstract: In this paper, the problem of rapidly reconstructing the kill chain for tasks due to the frequent changes of battlefield situation in the current beyond-visual-range cooperative air combat ...
Abstract: With the increasing concerns about railway energy efficiency, researchers have developed various approaches to optimize train trajectories for energy savings. However, these methods often ...
Abstract: The continuous development of artificial intelligence technology is driving the transformation of traditional cultural techniques, leading the cultural industry into the digital age.
Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...