The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …

The swift and precise detection of vehicles plays a significant role in intelligent transportation
systems. Current vehicle detection algorithms encounter challenges of high computational …

Electric power systems have experienced the rapid insertion of distributed renewable
generating sources and, as a result, are facing planning and operational challenges as new …

The objective of person re-identification (Re-ID) is to match unmistakable people across
different settings and camera views. Although the use of convolutional neural networks …

Recent advances in artificial intelligence (AI) have led to the development of numerous
successful applications that utilize data to significantly enhance the quality of life for people …

Convolutional Neural Network (CNN) becomes the robust deep learning model for image
classification. It has many configurations applied to achieve the best performance. A high …

The sound insulation performance of an electric vehicle's body system serves as a critical
metric for evaluating the noise, vibration, and harshness (NVH) quality of the vehicle. The …

The increasing demand for artificial intelligence-based motor vehicle detection in Intelligent
Transportation Systems (ITS) applications highlights the significance of advancements in …

针对道路场景图像中不同距离目标车辆特征存在识别效果弱, 精度低的问题,
提出一种基于优化卷积神经网络的车辆特征识别算法. 首先, 采用基于PAN …

Utilizing classical convolutional networks results in lackluster performance in certain
classification tasks. To address this problem, recent solutions add extra layers or sub …