Automatic vehicle parking is an advanced technology that significantly improves road traffic efficiency and reduces congestion compared with manual driving. On the basis of machine learning techn ... Read More

To address the challenges posed by limited sample sizes and varying defect sizes on strip-steel surfaces in industrial applications, in this paper, we introduce a small-object detection you-only- ... Read More

Bicycles usually are not equipped with electronic sensors and lighting, which are employed in motorcycles and automobiles. Therefore, it is not easy for riders to monitor the operational status o ... Read More

In this study, we introduce an optimal rolling force prediction model for H-shaped steel during the hot-rolling process, employing multiple machine learning methods. The traditional rolling force ... Read More

We have investigated how to integrate data and information and system modeling for the effective management of aerospace equipment. The method of such integration can be developed through the in- ... Read More

To address the issue that the fault diagnosis of the gear lubrication system of a nuclear power plant primarily relies on expert knowledge and experience, leading to numerous nuclear accidents, w ... Read More

In recent years, autonomous technology has advanced rapidly, with the real-time obstacle avoidance capability of autonomous vehicles on the road being a primary concern for ensuring safety. There ... Read More

The performance of a reversible solid oxide cell (RSOC) was simulated considering the properties of the cathode and anode materials, such as porosity, permeability, and operating temperature. Sim ... Read More

We applied a deep learning technique to detect defects on the glass used in a thin-film transistor liquid crystal display (TFT-LCD) utilizing a You Only Look Once v4 (YOLOv4) object detection mod ... Read More

To improve the accuracy of pedestrian gait recognition, a real-time recognition method for seven types of daily gait based on time domain features and a convolutional neural network is proposed. ... Read More

The burn-in test system is an indispensable piece of equipment in the reliability testing of electronic products. It is designed to simulate high-temperature environments to conduct long-term sta ... Read More

A complete solar tracking system consists of several key components: a concentrator, a receiver, and the electromechanical equipment that together convert sunlight into electrical energy. In addi ... Read More

The growing silver digital divide, resulting in the exclusion of elderly populations from electronic government (e-government) services, has become a pressing issue in aging societies worldwide. ... Read More

Photographs of five distinct rice varieties were classified using the new diffusion convolutional neural network (DCNN) technique to create a rice detection system. In this study, we employed a 4 ... Read More