Abstract Machine learning has been applied to the modeling of water treatment processes.
While machine learning models have a great ability to handle nonlinear relationships in the …

Determination of coagulant dosage in water treatment is a time-consuming process
involving nonlinear data relationships and numerous factors. This study provides a deep …

Carbon fiber holds significant promise as a sustainable material with diverse applications.
The production of carbon fiber involves a critical process known as oxidative stabilization …

With the improvement of computer computing power and the development of big data
technology, neural networks have rapidly developed and been effectively applied in multiple …

Uniform temperature distribution during quenching thermal treatment is crucial for achieving
exceptional mechanical and physical properties of alloy materials. Accurate and rapid …

Background Reasonable and accurate forecasting of outpatient visits helps hospital
managers optimize the allocation of medical resources, facilitates fine hospital management …

This paper presents new directions in the modeling of electric arc furnaces. This work is
devoted to an overview of new approaches based on random differential equations, artificial …

A safe and reliable operation of electric arc furnaces (EAFs) is crucial for the mining and
mineral industries. The lack of continuous measurements of critical process variables, such …

Seawater intrusion in the Bang Pakong River estuary poses a significant threat to freshwater
resources used for agriculture, municipal consumption, and industrial applications. Accurate …

Machine learning is a multidisciplinary field that has become one of the most crucial data
analysis tools. It supports researchers in understanding their data in a more accurate and …