Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …

The rapid evolution of technology has led to the generation of high dimensional data
streams in a wide range of fields, such as genomics, signal processing, and finance. The …

The significance of accurate short-term load forecasting (STLF) for modern power systems'
efficient and secure operation is paramount. This task is intricate due to cyclicity, non …

With the rapid growth of the number of connected devices that exchange personal, sensitive,
and important data through the IoT based global network, attacks that are targeting security …

In this paper, a novel, parameter-free, incremental local density and cluster-based outlier
factor (iLDCBOF) method is presented that unifies incremental versions of local outlier factor …

In the COVID-19 era, people face situations that they have never experienced before, which
alerted the importance of the ESG. Investors also consider ESG indexes as an essential …

This work dissects the application of big data and artificial intelligence (AI) technology in
environmental protection monitoring. The application principle of big data in environmental …

Water level data obtained from telemetry stations typically contains large number of outliers.
Anomaly detection and a data imputation are necessary steps in a data monitoring system …

Outlier detection is crucial for improving the performance of machine learning algorithms
and is particularly vital in data sets possessing a small number of points. While the existing …

An artificial neural network (ANN) model called long-short term memory (LSTM), coupled
with a genetic algorithm (GA) for feature selection, was used to predict biogas production of …