Class imbalance (CI) is a well-known problem in data science. Nowadays, it is affecting the
data modeling of many of the real-world processes that are being digitized. The …

Abstract Machine vision based product inspection methods have been widely investigated to
improve product quality and reduce labour costs. Recent advancement in deep learning …

Automated Visual Inspection (AVI) systems for metal surface inspection is increasingly used
in industries to aid human visual inspectors for classification of possible anomalies. For …

Advanced Monitoring Systems are fundamental in advanced manufacturing for control,
quality and maintenance purposes. Nowadays, with the increasing availability of data in …

The vial, a bottle known to store the drug, should be controlled to meet the requirements of
the standard dimension. Due to problems with a visual inspection, there is a need to develop …

The ever-growing development of sensor technology has led to the use of multimodal
sensors to develop robotics and automation systems. It is therefore highly expected to …

With the rapid development of the semiconductor industry, fault diagnosis is an important
task in routine operations to determine the root cause for faults that occur. A tool in …

Milling tool wear state recognition plays an important role in controlling the quality of milled
parts and reducing machine tool downtime. However, the characteristics of milling process …

Scratches are one of the most common defects in industrial manufacturing. Weak scratches
in the industrial environment have an ambiguous edge, low contrast, large span, and …

An oversampling technique balances a dataset by increasing the number of minority
samples. It is a common and effective method in imbalanced learning. However, most …