This review article examines recent advances in the use of machine learning for process
industries. The article presents common process industry tasks that researchers are solving …

Balances in the energy sector have changed since the implementation of the Covid-19
pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity …

This article reviews the integration of machine learning (ML) techniques with sensor-based
technologies for multiphase flow measurement in industrial applications. Accurate …

This study presents a novel hybrid model that combines two different algorithms to increase
the accuracy of short-term berry yield prediction using only previous yield data. The model …

Accurate multiphase flowrate measurement is challenging but vital in the energy industry to
monitor the production process. Machine learning has recently emerged as a promising …

In this work, we first design a series of oil bubbly flow experiments in a vertical testing pipe,
and collected the fluid fluctuations as experimental observations. Then we establish a …

Gas-liquid two-phase flow non-separation measurement plays a crucial role in industrial
production and two-phase flow theory research. In this paper, an intelligent multi-sensing …

Refrigerant filling is a process of transitioning from compressed liquid to gas-liquid discrete
state, which poses difficulties in monitoring the quality of refrigerant charging. This paper …

Accurate multiphase flow measurement is vital in monitoring and optimizing various
production processes. Deep learning has as of late arose as a promising approach for …

This study presents a novel method for airflow rate (ie, wind speed) sensing using a three‐
dimensional (3D) printing‐assisted flow sensor and a deep neural network (DNN). The 3D …