Railway networks systems are by design open and accessible to people, but this presents
challenges in the prevention of events such as terrorism, trespass, and suicide fatalities …

Forests are the most important part of terrestrial ecosystems. In the context of China's
industrialization and urbanization, mining activities have caused huge damage to the forest …

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

This paper explored techniques for diagnosing breast cancer using deep learning based
medical image recognition. X-ray (Mammography) images, ultrasound images, and …

The extraction and analysis of plant phenotypic characteristics are critical issues for many
precision agriculture applications. An improved YOLOv5 model was proposed in this study …

Counting stock is one of the warehouse's methods for preventing insatiable stock. Moreover,
it could help the company forecast how many products they need to store and predict the …

Ensuring a safe nighttime environmental perception system relies on the early detection of
vulnerable road users with minimal delay and high precision. This paper presents a sensor …

Accurately estimating the absolute distance and height of objects in open areas is quite
challenging, especially when based solely on single images. In this paper, we tackle these …

An improved maritime object detection algorithm, SRC-YOLO, based on the YOLOv4-tiny, is
proposed in the foggy environment to address the issues of false detection, missed …

In the context of smart cities, monitoring pedestrian and vehicle movements is essential to
recognize abnormal events and prevent accidents. The proposed method in this work …