Online action detection aims to identify ongoing actions within untrimmed video streams, with extensive applications in real-life scenarios. However, in practical applications, video frames are received sequentially over time and new action categories ...

Grading of prostate cancer plays an important role in the planning of surgery and prognosis. Multi-parametric magnetic resonance imaging (mp-MRI) of the prostate can facilitate the detection, localization and grade of prostate cancer. In mp-MRI, ...

With the development of artificial intelligence, natural language processing enables us to better understand and utilize semantic information. However, traditional object detection algorithms cannot get an effective performance, when dealed with Tibetan ...

This paper addresses the energy efficiency (EE) concerns in integrated sensing and communication (ISAC) technologies within wireless networks, particularly focusing on optimization centered around sensing in cell-free scenarios. It is observed that ...

Convolutional neural network (CNN) have significantly advanced image classification, video processing, and pattern recognition. Compared to other hardware deployment platforms, field programmable gate arrays (FPGAs) offer advantages such as ...

In this paper, we propose a dual-branch network model that requires both facial images and eye-label images as inputs, enhancing gaze estimation accuracy by capturing the intricate relationships among the head, face, and eyes. The strength of our ...

The rapid development of Internet and multimedia technology has promoted steganography to be a preferred means for covert communication. The objective of steganography is to embed secret data into an innocent cover object by modifying the cover ...

The Practical Byzantine Fault Tolerance protocol (PBFT) has been widely deployed in the blockchain network. However, two main issues, the communication complexity and the inability of nodes to join/exit the network without restarting the system, ...

Rumors can easily propagate through social media, posing potential threats to both individual and public health. Most existing approaches focus on single-language rumor detection, which leads to unsatisfying performance when these are applied to ...

The intelligent transportation system (ITS) was supported by the sixth generation (6G) wireless networks, since it has great potential to realize intelligent transportation with the benefit for the society and economy. In order to overcome the practical ...

This paper investigates a downlink high-mobility secure communication system with orthogonal time–frequency space (OTFS) modulation. In order to achieve secure transmission, a secure precoding scheme based on a privacy-preserving method is ...

Online action detection plays a vital role in video action understanding and can be widely used in various video analysis applications. This task aims to detect actions at the current moment within long untrimmed video streams. However, accurately ...

Reconfigurable intelligent surfaces (RIS) has the potential to be an important technology for the sixth-generation (6G) communications in future. Especially, RIS can improve communication performance by extending coverage or improving ...

This paper considers an asynchronous grant-free non-orthogonal multiple access (NOMA) systems which can be applied in massive machine-type communications (mMTCs) and underwater IoT acoustic communication scenarios due to its high spectral ...

With the proliferation of Internet of things (IoT) applications, the massive machine-type connections (MTCs) bring great challenges to traditional cellular networks, wherein cell-boundary devices with severe path-loss and inter-cell interference normally ...

In this paper, we consider an OFDM-NOMA (orthogonal frequency division multiplexing-nonorthogonal multiple access) downlink system, which has multiple subcarriers and multiple users at different locations and speeds from the base station. The goal is to ...

Neural network pruning has been commonly adopted for alleviating the computational cost of resource-limited devices. Neural architecture search (NAS) is an efficient approach to facilitate neural network compression. However, most existing NAS-...

Faced with the problem of information overload of big data, multi-factor fusion is the key technology of recommendation systems. How to provide personalized products for users accurately is the demand of recommendation system. Therefore, a new nearest ...

Both all-connection model and part connection model is simulated, which adopt self-organizing map neural network to generate check bits. Consequently, N source bits and K check bits are composed a complete codeword. In the decoding port, multi-layer ...

In this study, the authors study a cognitive multiple‐input‐single‐output network, where the secondary base station (BS) communicates with a secondary destination scheduled from K candidate users. Assuming the scheduled space–time block coding scheme, ...