Modern chemical process industry is becoming larger and more complicated to achieve a
higher level of technical functionality. There is less tolerance for functional degeneration …

Abstract The nitrate (NO 3−) input has adversely affected the water quality and ecological
function in the whole basin of the Yangtze River. The protection of water sources and …

The high prevalence of fraud in contemporary financial transactions necessitates advanced
anomaly detection systems to address the significant imbalance between legitimate and …

Data storage systems such as disk arrays go through rigorous testing in the production
phase, however, a few of these DAs fail in the field and are returned back to the …

The class imbalance is a significant issue in machine learning, particularly in the context of
multi-class imbalance. The current multi-class imbalanced classifiers often encounter the …

Phosphorus contamination in rivers has received widespread attention. However, in areas
with extensive sources of phosphorus and complex hydrogeology conditions, it is difficult to …

During operation, the smart grid is subject to different false data injection attacks (FDIA). If
the different kinds of FDIAs and typical failures have been detected, the system operator can …

This study investigates the usefulness of the Synthetic Minority Oversampling Technique
(SMOTE) in conjunction with convolutional neural network (CNN) models, which include …

Classification of imbalanced multi-class data is still so far one of the most challenging issues
in machine learning and data mining. This task becomes more serious when classes …

Understanding the enhancing mechanisms of graphene oxide (GO) on the pore structure
characteristics in the interfacial transition zone (ITZ) plays a crucial role in cemented waste …