Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that
allows practitioners to examine data without pre-conceived notions to advise improvement …

In the last few years, jargon, such as machine learning (ML) and artificial intelligence (AI),
have been ubiquitous in both popular science media as well as the academic literature …

One method to reduce CO2 emissions from vehicle exhaust is the use of liquified petroleum
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …

This paper presents the design and implementation of a supervisory control and data
acquisition (SCADA) system for automatic fault detection. The proposed system offers …

The rapid advances occurring within the “Era of Big Data” and Industry 4.0 concepts are
providing opportunities and challenges for improving business outcomes within the process …

Advances in technology allowed the fast and easy creation and configuration of industrial
alarms. The growth in the number of alarms, however, brought some problems to the alarm …

Since water supply association analysis plays an important role in attribution analysis of
water supply fluctuation, how to carry out effective association analysis has become a critical …

The increased number of cyber threats against the Supervisory Control and Data Acquisition
(SCADA) and automation systems in the Industrial-Internet-of-Things (IIoT) and Industry 4.0 …

To uncover the insight behind the data, the comprehensive analysis is needed. Exploratory
Data Analysis (EDA) is one of practical data analysis that will guide how to reveal any …

Most current alarm systems used in chemical installations show poor performance due to
alarm flooding. This study focuses on alarm management systems optimization using the …