Optimization of Francis turbine runner based on analytic hierarchy process – entropy weight method and multi-objective Lichtenberg algorithm by Xiaobo Zheng, Wei Wang, Yaping Zhao, Hao Liang, Pengcheng Guo, Zhihua Li

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Thermo-economic investigation and comparative multi-objective optimization of dual-pressure evaporation ORC using binary zeotropic mixtures as working fluids for geothermal energy... by Shahin Akbari, Shahin Faghiri, Ali Mehrparwar Zinjanabi, Mohamad Ali Bijarchi, Mohammad Behshad Shafii, Khashayar Hosseinzadeh

“…The optimization results suggest the R123/C2Butene (96.89/3.11) mixture for this system as the optimum working fluid, considering a trade-off between a low-cost rate of $88.0651 per hr and a high exergy efficiency of 64.07 %. …”
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Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

“…Abstract Over the last decades, industrial employment of supercritical fluids (SCFs) as a trustworthy alternative of organic solvents has increased substantially. …”
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4D Imaging of Two‐Phase Flow in Porous Media Using Laboratory‐Based Micro‐Computed Tomography by K. R. Tekseth, D. W. Breiby

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Precise PIV Measurement in Low SNR Environments Using a Multi-Task Convolutional Neural Network by Yichao Wang, Chenxi You, Di Peng, Pengyu Lv, Hongyuan Li

“…Particle Image Velocimetry (PIV) is essential in experimental fluid mechanics, providing nonintrusive flow field measurements. …”
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Review of machine learning applications for predicting the quality of biomass briquettes for sustainable and low-carbon energy solutions by Constance Nakato Nakimuli, Fred Kaggwa, Johan De Greef, David Kilama Okot, Julien Blondeau, Simon Kawuma

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Novel Adaptive Hidden Markov Model Utilizing Expectation–Maximization Algorithm for Advanced Pipeline Leak Detection by Omid Zadehbagheri, Mohammad Reza Salehizadeh, Seyed Vahid Naghavi, Mazda Moattari, Behzad Moshiri

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Numerical Investigation of the Impact of a Hollow Ceramic Droplet on Metallic Substrate by M. Driouche, T. Rezoug, M. El Ganaoui

“…The numerical model employs the PISO (Pressure-Implicit with Splitting of Operators) algorithm to solve the equations governing transient fluid dynamics, utilizing the pressure-based finite volume method in a 2D axisymmetric domain. …”
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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

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Application of Array Imaging Algorithms for Water Holdup Measurement in Gas–Water Two-Phase Flow Within Horizontal Wells by Haimin Guo, Ao Li, Yongtuo Sun, Liangliang Yu, Wenfeng Peng, Mingyu Ouyang, Dudu Wang, Yuqing Guo

“…The CAT demonstrated reliable measurement capabilities under low- to medium-flow conditions, accurately capturing fluid distribution. …”
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Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm. by Qiuyu Lu, Suling Wang, Minzheng Jiang, Yanchun Li, Kangxing Dong

“…The clustering results of the two algorithms have the characteristics of overlapping blocks, but the improved algorithm's clustering findings are as follows: this block features motor utilization, pump efficiency and daily fluid production, which are positively correlated with system efficiency. …”
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Determination Method of Variable T2 Cutoff Value in NMR Logging of Low Permeability Reservoir in Daqing Oilfield X7 Area by LI Pengju, CHEN Chonghang, XU Ruogu, LIU Shuo, SHEN Zhongshan, FU Yan

“…T2 cutoff value is a key parameter for calculating bound fluid porosity, mobile fluid porosity and permeability in NMR logging. …”
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Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method by Nasser Keshavarz Faraj Khah, Bahare Salehi, Pooria Kianoush, Shahab Varkouhi

“…Metaheuristic optimization algorithms are suitable tools for minimizing the cost function as they best match real and synthetic seismic data. …”
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Aβ status assessment in a hypothetical scenario prior to treatment with disease‐modifying therapies: Evidence from 10‐year real‐world experience at university memory clinics by Matthias Brendel, Tandis Parvizi, Johannes Gnörich, Christof Elias Topfstedt, Katharina Buerger, Daniel Janowitz, Boris‐Stephan Rauchmann, Robert Perneczky, Carolin Kurz, Dirk Mehrens, Wolfgang G. Kunz, Julia Kusche‐Palenga, Agnes Bernadette Kling, Antonia Buchal, Elizabet Nestorova, Sara Silvaieh, Raphael Wurm, Tatjana Traub‐Weidinger, Sigrid Klotz, Günther Regelsberger, Axel Rominger, Alexander Drzezga, Johannes Levin, Elisabeth Stögmann, Nicolai Franzmeier, Günter U. Höglinger

“…We evaluated Aβ levels in cerebrospinal fluid (Aβ CSF) and Aβ levels in positron emission tomography (Aβ PET) biomarkers in a real‐world memory‐clinic setting to develop an efficient algorithm for clinical use. …”
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Modeling Supply Air Jet of Split Air Conditioner Based on Abramovich Jet Theory and Bayesian Markov Chain Monte Carlo Algorithm by Jing Li, Jing Ling, Yijin Wang, Chunfeng Lao, Di Gao, Wenchao Liu, Jinghua Jiang, Sheng Zhang

“…Significant results: In this study, models for the trajectory position, velocity, and temperature of the supply air jet for split air conditioners are established based on the Abramovich jet theory and Bayesian Markov Chain Monte Carlo (MCMC) algorithm. The effectiveness of the proposed models is demonstrated via comparison with the training dataset from the experimentally validated Computational Fluid Dynamics simulation of a split air conditioner. …”
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Parallel Bayesian Optimization of Thermophysical Properties of Low Thermal Conductivity Materials Using the Transient Plane Source Method in the Body-Fitted Coordinate by Huijuan Su, Jianye Kang, Yan Li, Mingxin Lyu, Yanhua Lai, Zhen Dong

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Optimization of Structural Parameters and Cavitation Suppression in Control Valves Based on P-WOA by W. Li, S. Li, J. Hou, L. Yang, Y. Tian

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Parameter Design and Performance Optimization of Aerostatic Bearing by YANG Chunmei, CAO Bingzhang

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Performance Analysis of CO2 Systems Integrated with Ejector and Dedicated Mechanical Subcooling by Dai Baomin, Zhao Ruirui, Liu Shengchun, Qian Jiabao, Xu Tianyahui, Liu Chen, Yang Peifang

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Optimization of a Heavy-Duty Hydrogen-Fueled Internal Combustion Engine Injector for Optimum Performance and Emission Level by Murat Ozkara, Mehmet Zafer Gul

“…This study presents a high-fidelity optimization framework that couples a validated computational fluid dynamics (CFD) combustion model with a surrogate-assisted multi-objective genetic algorithm (MOGA). …”
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