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 ...
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
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 ...
Inspired by the Japanese art of kirigami, an MIT team has designed a technique that could transform flat panels into medical devices, habitats, and other objects without the use of tools.
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 ...
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