As a relatively new type of desulfurization system, long-term high-efficiency desulfurization is
a critical issue for commercial spray dispersion system applications. To analyze the coupling …

With the development of automation and informatization in the steelmaking industry, the
human brain gradually fails to cope with an increasing amount of data generated during the …

Abstract Deep Reinforcement Learning (DRL) has recently obtained considerable
attentions. It empowers Reinforcement Learning (RL) with Deep Learning (DL) techniques to …

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

The efficiency of the hot metal pretreatment process plays a very important role in achieving
high-quality and low-cost advanced steel. From macromixing phenomena obtained by …

In order to reduce the uncertainty of the genetic algorithm (GA) in optimizing the near-
infrared spectral calibration model and avoid the loss of spectral information of the …

Evolutionary data-driven modeling and optimization play a major role in generating meta
models from real-time data. These surrogate models are applied effectively in various …

Conserving energy is an important factor in industry which could lead to reduce the
operating costs of the system. Improving energy efficiency is a serious concern to many …

Accurate model plays an important role in designing, assessing, and controlling photovoltaic
(PV) systems. In this work, the least-squares support vector machine (LSSVM) is adopted to …

This study presents a new imaging paradigm for overcoming the challenges limiting the
improvement of the imaging quality in the electrical capacitance technique. The new …