The main purpose of a detection system is to ascertain the state of an individual's eyes,
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …

Deep learning, which has exhibited considerable potential and effectiveness in forest
resource assessment, is vital for comprehending and managing forest resources and …

With rising global temperatures, wildfires frequently occur worldwide during the summer
season. The timely detection of these fires, based on unmanned aerial vehicle (UAV) …

A thorough understanding of the information dissemination process in Online Social
Networks (OSNs) is crucial for enhancing user behavior analysis. While recent studies …

Protecting forest resources and preventing forest fires are vital for social development and
public well-being. However, current research studies on forest fire warning systems often …

In federated learning, non-iid data not only diminishes the performance of the global model
but also gives rise to the fairness problem which manifests as an increase in the variance of …

Cross-Domain Facial Expression Recognition (CD-FER) aims to develop a facial expression
recognition model that can be trained in one domain and deliver consistent performance in …

In order to investigate the geographical distribution of forest fire occurrences in the Ningxia
Hui Autonomous Region, this study employs advanced modeling techniques, utilizing …

Due to its unique geographical and climatic conditions, the Liangshan Prefecture region is
highly prone to large fires. There is an urgent need to study the growth rate of fire-burned …

Personalized federated learning (PFL) enables the training of machine-learning models on
dispersed data while ensuring user privacy. Despite their advantages, existing PFL …