Deep learning has received extensive research interest in develo** new medical image
processing algorithms, and deep learning based models have been remarkably successful …

Importance. With the booming growth of artificial intelligence (AI), especially the recent
advancements of deep learning, utilizing advanced deep learning-based methods for …

Deep learning has shown tremendous potential in many real-life applications in different
domains. One of these potentials is object detection. Recent object detection which is based …

Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …

Tiny defect detection (TDD) which aims to perform the quality control of printed circuit boards
(PCBs) is a basic and essential task in the production of most electronic products. Though …

The object detection task in the medical field is challenging in terms of classification and
regression. Due to its crucial applications in computer‐aided diagnosis and computer‐aided …

The major problem in Thailand related to parking is time violation. Vehicles are not allowed
to park for more than a specified amount of time. Implementation of closed-circuit television …

Remote sensing targets have different dimensions, and they have the characteristics of
dense distribution and a complex background. This makes remote sensing target detection …

Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …

With the development of infrared detection technology and the improvement of military
remote sensing needs, infrared object detection networks with low false alarms and high …