Object detection in remotely sensed satellite pictures is fundamental in many fields such as
biophysical, and environmental monitoring. While deep learning algorithms are constantly …

Airway diseases cause significant challenges while diagnosing it accurately as well as
timely. In current years, the combination of deep learning techniques with Explainable …

Substrate oxidation is inevitable when exposed to ambient atmosphere during
semiconductor manufacturing, which is detrimental to the fabrication of state-of-the-art …

The erosion behavior of trunk borers leads to the destruction of trunk structure and the
formation of internal defects, which significantly impacts the ecological and economic value …

Extraction of lake water bodies from remote sensing images provides reliable data support
for water resource management, environmental protection, natural disaster early warning …

This review article traces the trajectory of Convolutional Neural Networks, providing an in-
depth analysis of their foundational components: convolutional, pooling, and fully connected …

The solar-hydrogen system installed at the Samcheok Campus of Kangwon National
University is the setting for this paper's presentation of an AI-driven method for fault detection …

As malware samples grow in complexity and employ advanced evasion techniques,
traditional detection methods are insufficient for accurately classifying large volumes of …

Background: Evaluating chest X-rays is a complex and high-demand task due to the intrinsic
challenges associated with diagnosing a wide range of pulmonary conditions. Therefore …

Chest X-ray imaging is an essential tool in the diagnostic procedure for pulmonary
conditions, providing healthcare professionals with the capability to immediately and …