Fire robots are an effective way to save lives from fire, but their limited detection accuracy
has greatly hampered their practical applications in complicated fire conditions. This study …

Forest fires are major forestry disasters that cause loss of forest resources, forest ecosystem
safety, and personal injury. It is often difficult for current forest fire detection models to …

EEG-based emotion recognition is becoming crucial in brain-computer interfaces (BCI).
Currently, most researches focus on improving accuracy, while neglecting further research …

Background Recognition of emotion changes is of great significance to a person's physical
and mental health. At present, EEG-based emotion recognition methods are mainly focused …

In the steelmaking industry, the state of the blast furnace tuyere is an important basis for
obtaining the internal information of the blast furnace. Traditional detections mainly rely on …

Flight target recognition (FTR) has always been a hot research topic in the field of pattern
recognition and machine vision. It is of great significance for civil aviation safety, hazard …

Deep learning techniques have shown success in recent years detecting visual targets.
Whereas, these methods do not achieve the same excellent results in underwater sonar …