Predicting traffic accident severity is essential for traffic accident prevention and vulnerable
road user safety. Furthermore, the explainability of the prediction is crucial for practitioners to …

Abstract The Smart Grid (SG) is treated as the next level of modern power system which
uses the bilateral flow of power and information. The ability of the smart grid for two-way …

Expert assessments with pre-defined numerical or language terms can limit the scope of
decision-making models. We propose that decision-making models can incorporate expert …

Abstract 3D object detection has received extensive attention from researchers. RGB-D
sensors are often used for the information complementary in 3D object detection tasks due …

Autonomous vehicles need to continuously navigate complex traffic environments by
efficiently analyzing the surrounding scene, understanding the behavior of other traffic …

The current extraction speed of artificial intelligence interactive elements is low, with the low
effect, resulting in the poor effect of artificial intelligence interaction. Therefore, a new …

This article draws on previous research on constructive English teaching models and uses
multimodal neural network algorithm theory and constructive English teaching as the …

Printed Circuit Boards (PCBs), as integral components of electronic products, play a crucial
role in modern industrial production. However, due to the precision and complexity of PCBs …

This research paper introduces an innovative solution for enhancing class monitoring by
integrating video analytics and advanced deep-learning models for human activity …

Recommender systems are everywhere books, products, movies, and more. Traditional
recommender systems typically use a single criterion in the recommendation, while studies …