Federated learning is a new type of distributed learning framework that allows multiple
participants to share training results without revealing their data privacy. As data privacy …

The objective of this study is to supply an overview of research work based on video-based
networks and tiny object identification. The identification of tiny items and video objects, as …

The intrusion detection process is important in various applications to identify unauthorized
Internet of Things (IoT) network access. IoT devices are accessed by intermediators while …

The video behavior analysis of the Internet of Things is the apparent characteristics and
continuous state of the two-dimensional human body in the time dimension. The patterns …

The identification of ground intrusion is a key and important technology in the national public
security field. In this paper, a novel variational mode decomposition (VMD) and Hilbert …

The influence of the evolution rule of basicity (0.6∼ 2.4) on the mineral composition and
microstructure of sinter is studied by using a polarizing microscope, and the comprehensive …

Consumer data in e-commerce platforms relies heavily on Internet of Things (IoT) devices,
which bring forth numerous security threats. As an emerging proactive defense technology …

In response to the problems of complex model networks, low detection accuracy, and the
detection of small targets prone to false detections and omissions in pedestrian detection …

The purpose is to minimize color overflow and color patch generation in intelligent images
and promote the application of the Internet of Things (IoT) intelligent image-positioning …

In order to improve the security performance and accuracy of the Internet of things in the use
process, it is necessary to use the Internet of things intrusion detection method. At present …