Electroencephalography (EEG), known for its convenient noninvasive acquisition but moderate signal-to-noise ratio, has recently gained much attention due to the potential to decode image information.

In recent years, unmanned aerial vehicle (UAV) assisted wireless communication for Internet of Things (IoT) applications has garnered growing attention. Device to Device (D2D)-underlaid UAV ...

Cyber-physical systems (CPSs) are regarded as the backbone of the fourth industrial revolution, in which communication, physical processes, and computer technology are integrated. In modern industrial ...

Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportation. Safety-critical ...

Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and several other domains.

A circular polarization (CP) folded reflectarray antenna is proposed at the 30 GHz band. A five-layered circular polarization selective metasurface (CPSM) is introduced to realize the path folding for ...

This paper comprehensively reviews the YOLO series algorithms in computer vision. It begins by emphasizing the significance of object detection in security, driving and image analysis, and then traces ...

Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually being ...

With the development of e-commerce, the types of logistics services have become diverse. In response to the logistics requirements in urban environments, this paper introduces a logistics system that ...

Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist Temporal Classification make it possible to train RNNs for sequence ...

We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising ...

Generative artificial intelligence (GenAI) and digital twin (DT) technologies have individually demonstrated valuable capabilities across a range of fields. Their integration, however, offers a unique ...