Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map

Article Chemistry, Multidisciplinary

Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness

Abdullah K. Alanazi et al.

Summary: This innovative non-invasive system uses a dual-energy gamma source and two detectors, along with artificial intelligence, to determine the flow pattern and volume percentage of two-phase flow by considering the thickness of scales in the pipelines.

APPLIED SCIENCES-BASEL (2022)

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Article Computer Science, Information Systems

Effects of Particle Swarm Optimization and Genetic Algorithm Control Parameters on Overcurrent Relay Selectivity and Speed

Sethembiso Nonjabulo Langazane et al.

Summary: This paper presents a comprehensive sensitivity analysis to evaluate the effect of control parameters on the performance of particle swarm optimization and genetic algorithms in solving overcurrent relay coordination problems. The findings show that particle swarm optimization is more sensitive to inertia weight and swarm size, and appropriate parameter settings can improve its performance.

IEEE ACCESS (2022)

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Article Engineering, Chemical

Prediction of Surface Tension of Various Aqueous Amine Solutions Using the UNIFAC Model and Artificial Neural Networks

Nayereh Sadat Mousavi et al.

Summary: In the first stage, a thermodynamic approach coupled with the UNIFAC model was used to predict the surface tension of various aqueous amine solutions, investigating the influence of temperature, amine concentration, and hydrophobic groups. The second stage involved a multilayer perceptron neural network model to predict surface tension, with comparisons to experimental data showing average absolute relative deviations of 6.79%, 1.17%, and 1.12%, respectively.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2021)

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Article Engineering, Environmental

Monitoring the effect of surface functionalization on the CO2 capture by graphene oxide/methyl diethanolamine nanofluids

Zongming Zhou et al.

Summary: Research shows that stable suspensions of graphene oxide (GO) nanosheets in MDEA solutions can serve as a potential medium for CO2 absorption. Experimental analyses reveal that GO surface functionalization positively affects CO2 absorption by MDEA-based nanofluids. AI models are designed to predict CO2 solubility in GO/MDEA nanofluids.

JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING (2021)

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Article Computer Science, Artificial Intelligence