In recent years there has been remarkable progress in one computer vision application
area: object detection. One of the most challenging and fundamental problems in object …

This paper provides a review of an emerging field in the food processing sector, referring to
efficient and safe food supply chains,'from farm to fork', as enabled by Artificial Intelligence …

Offshore and inland river ship detection has been studied on both synthetic aperture radar
(SAR) and optical remote sensing imagery. However, the classic ship detection methods …

Vehicle detection with orientation estimation in aerial images has received widespread
interest as it is important for intelligent traffic management. This is a challenging task, not …

Hand gestures based sign language digits have several contactless applications.
Applications include communication for impaired people, such as elderly and disabled …

Ship target detection has urgent needs and broad application prospects in military and
marine transportation. In order to improve the accuracy and efficiency of the ship target …

Scene text detection is the task of detecting word boxes in given images. The accuracy of
text detection has been greatly elevated using deep learning models, especially …

Due to changes in illumination, adverse weather conditions, and interference from signs
similar to real traffic signs, the false detection of traffic signs is possible. Nevertheless, in …

The rapid development of machine learning technologies in recent years has led to the
emergence of CNN-based sensors or ML-enabled smart sensor systems, which are …

Irrigation systems play an important role in agriculture. Center pivot irrigation systems are
popular in many countries as they are labor-saving and water consumption efficient …