Recently, deep learning techniques have been extensively used to detect ships in synthetic
aperture radar (SAR) images. The majority of modern algorithms can achieve successful …

Automatic object detection by satellite remote sensing images is of great significance for
resource exploration and natural disaster assessment. To solve existing problems in remote …

Pavement cracks can result in the degradation of pavement performance. Due to the lack of
timely inspection and reparation for the pavement cracks, with the development of cracks …

This research describes the use of high-performance computing (HPC) and deep learning to
create prediction models that could be deployed on edge AI devices equipped with camera …

Accurate detection of sea-surface objects is vital for the safe navigation of autonomous
ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors …

This paper presents datasets utilised for synthetic near-infrared (NIR) image generation and
bounding-box level fruit detection systems. A high-quality dataset is one of the essential …

Seeds of exotic plants transported with imported goods pose a risk of alien species invasion
in cross-border transportation and logistics. It is critical to develop stringent inspection and …

Unmanned Aerial Vehicles (UAVs) have transformed the process of data collection and
analysis in a variety of research disciplines, delivering unparalleled adaptability and …

Thailand, like other countries worldwide, has experienced instability in recent years. If
current trends continue, the number of crimes endangering people or property will expand …

Visual-based object detection systems are essential components of intelligent equipment for
water surface environments. The diversity of water surface target types, uneven distribution …