Simple Summary The incidence of endocrine cancers (eg, thyroid, pancreas, and adrenal)
has been increasing; these cancers have a high premature mortality rate. Traditional …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

Abstract Zero-Shot Anomaly Segmentation (ZSAS) aims to segment anomalies without any
training data related to the test samples. Recently, while foundational models like CLIP and …

Detection of surface defects in manufacturing systems is crucial for product quality. Detection
of surface defects with high accuracy can prevent financial and time losses. Recently, efforts …

In this paper, we propose a machine learning approach for detecting superficial defects in
metal surfaces using point cloud data. We compare the performance of two popular deep …

Plants are often attacked by various pathogens during their growth, which may cause
environmental pollution, food shortages, or economic losses in a certain area. Integration of …

The main perspective when ensuring dependability in speculations over accuracy in casting
parts is a project quality confirmation process that is both careful and meticulous under …

In today's industrial landscape, optimizing energy consumption, reducing production times,
and maintaining quality standards are critical challenges, particularly in energy-intensive …

Traditional statistical models present limitations in capturing the complexity of advanced
manufacturing processes. To address this challenge, the integration of the iteratively …

The large-scale ingot of the 7xxx-series aluminum alloys fabricated by direct chill (DC)
casting often suffers from foundry defects such as cracks and cold shut due to the formidable …