Fake news detection has been a more urgent technical demand for operators of online
social platforms, and the prevalence of deep learning well boosts its development. From the …

Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …

Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …

In the era of artificial intelligence (AI) advancements heralded by Large Language Models
(LLMs) like GPT-3, the capacity to parse and generate human-like text brings to light …

Vehicle re-identification is the task of identifying the same vehicle in different environments
and from different angles and cameras. It is more challenging than re-identification of …

Graph neural networks (GNNs) had shown excellent performance in complex graph data
modelings such as node classification, link prediction and graph classification. However …

As a fundamental technique for mining and analysis of remote sensing (RS) big data,
content-based remote sensing image retrieval (CBRSIR) has received a lot of attention …

Abstract Distributed Denial of Service (DDoS) attacks continue to pose a significant threat to
network infrastructures, exploiting vulnerabilities within existing security protocols and …

The significance of community structure in complex networks, such as social, biological, and
online networks, has been widely recognized. Detecting communities in social media …

As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …