Flight data anomaly detection plays an imperative role in the safety and maintenance of
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …

The proliferation of the e-commerce market has posed challenges to staff safety, product
quality, and operational efficiency, especially for cold chain logistics (CCL). Recently, the …

Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

Occupational safety and health (OSH) has always been a big concern in the labor-intensive
warehouse industry, especially under peculiar circumstances like a low temperature …

According to worldwide statistics, traffic accidents are the cause of a high percentage of
violent deaths. The time taken to send the medical response to the accident site is largely …

Recently, video surveillance systems have gained significant interest in several application
areas. The examination of video sequences for the detection and tracking of objects remains …

Automatic identification of anomalies in video surveillance is an interesting research field.
Even though interactive multimedia anomaly detection algorithms have been developed, it is …

This study proposed an AlexNet-based crowd anomaly detection model in the video (image
frames). The proposed model was comprised of four convolution layers (CLs) and three …

For video surveillance, pedestrian detection assists in providing baseline data for crowd
monitoring, people counting, and event detection; for smart transport system, pedestrian …

Intelligent video surveillance plays a pivotal role in enhancing the infrastructure of smart
urban environments. The seamless integration of multi-angled cameras, functioning as …