Virtual sample generation (VSG) technology aims to generate virtual samples based on real
samples, in order to expand the size of the datasets and improve model performance …

Several tasks in surveillance systems depend on camera networks, one of them is Person re-
identification (PRe-ID) which has wide interest as a research topic in the computer vision …

Rolling bearings are crucial components in a wide range of rotating machinery, playing a
vital role in maintaining safe and reliable industrial production. Transfer learning techniques …

Abstract Domain adaptation (DA) plays a crucial role in achieving subject-independent
performance in Brain-Computer Interface (BCI). However, previous studies have primarily …

In wire arc additive manufacturing (WAAM), the electric arc is an essential part of the welding
equipment, which serves as the heat source and is directed by the current and voltage. The …

Deep learning (DL)-based models especially Convolutional Neural Network (CNN) models
have recently achieved great success in medical image classifications. It is usually time …

The core quality data, such as interior ballistic performance, are seriously unbalanced in the
plasticizing and molding process, which makes it difficult for traditional supervised learning …

A novel Transfer-Active Learning-Driven Siamese network for bi-temporal image
classification (TALDS) is proposed. It incorporates transfer learning (TL) and active learning …

This research presents a comprehensive comparative analysis of various pre-trained
backbone models and machine learning techniques for output layers in convolutional neural …

Due to the wide variety and nuance phenotypic characteristics of lotus species, traditional
identification mainly relies on manual methods, in addition, lotus labeling is costly. In this …