A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

Coronavirus disease 2019 (COVID-19) continues to pose a great challenge to the world
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …

YOLOv5 is one of the latest and often used versions of a very popular deep learning neural
network used for various machine learning tasks, mainly in computer vision. The YOLO …

White leaf disease (WLD) is an economically significant disease in the sugarcane industry.
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …

This article proposes a deep-learning-based compound jamming cognition method to
recognize, detect individual jamming elements, and estimate key parameters of them. The …

Artificial intelligence (AI) has revolutionised a wide range of human activities, including the
accelerated development of autonomous vehicles. Self-navigating delivery robots are recent …

Object detection is a predominant challenge in computer vision and image processing to
detect instances of objects of various classes within an image or video. Recently, a new …

This study describes an application that uses a neural network approach to traffic sign
recognition. Traffic sign recognition is an important part in the assessment of traffic situations …

Crime prediction in video-surveillance systems is required to prevent incident and protect
assets. In this sense, our article proposes first artificial intelligence approach for Robbery …

Object detection plays an important role to accelerate the medical diagnosis and automatic
polyp detection from colonoscopy images is one of the prominent examples. Visual …