Research on the Movement Patterns of Bed-load Streaky Structure Transport and the Mechanism of Fluid-solid Coupling by YAO Jiateng, XIE Xiaoxi, WANG Hao, ZHAO Lin, XIE Haonan, ZHEN Rongtian

“…The flow fields were then calculated by using a multi-grid iterative image deformation algorithm, yielding detailed results at different locations. …”
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Hybrid Machine-Learning Model for Accurate Prediction of Filtration Volume in Water-Based Drilling Fluids by Shadfar Davoodi, Mohammed Al-Rubaii, David A. Wood, Mohammed Al-Shargabi, Mohammad Mehrad, Valeriy S. Rukavishnikov

“…Therefore, employing radial basis function neural network (RBFNN) and multilayer extreme learning machine (MELM) algorithms integrated with the growth optimizer (GO), predictive hybrid ML (HML) models are developed to reliably predict the FV using only two easy-to-measure input variables: drilling fluid density (FD) and Marsh funnel viscosity (MFV). …”
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Compact quantum algorithms for time-dependent differential equations by Sachin S. Bharadwaj, Katepalli R. Sreenivasan

“…Many claims of computational advantages have been made for quantum computing over classical but they have not been demonstrated for practical problems. Here, we present algorithms for solving time-dependent PDEs, with particular reference to fluid equations. …”
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Prediction Method of Lithology Log Based on XGBoost Algorithm by CHU Qingjun, GE Yunlong, TONG Maosong, WANG Yan, AN Lyuxing, YU Chuanwu, JIA Xin

“…Traditional environmental correction charts for photoelectric absorption cross section index correction have low efficiency and poor accuracy. To solve this problem, an XGBoost algorithm-based model for predicting the photoelectric absorption cross-section index is established, and its prediction effect is compared with that of a neural network algorithm model. …”
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Seismic assessment of cylindrical storage tanks to records with different frequency contents considering fluid–structure–soil/foundation interaction by Ayman Abd-Elhamed, Sayed Mahmoud

“…Broad, medium, and slender tank models are developed considering and ignoring the soil flexibility effect. An algorithm based on discrete-time state-space approaches is developed for performing numerical simulations of the modeled tanks excited by the low-, medium-, and high-frequency contents. …”
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Lesion assessment in multiple sclerosis: a comparison between synthetic and conventional fluid-attenuated inversion recovery imaging by Roald Ruwen Essel, Britta Krieger, Barbara Bellenberg, Dajana Müller, Theodoros Ladopoulos, Ralf Gold, Ruth Schneider, Carsten Lukas, Carsten Lukas

“…Lesion segmentation was performed using the Lesion Prediction Algorithm within the Lesion Segmentation Toolbox. For the assessment of spatial differences between lesion segmentations from both sequences, all lesion masks were registered to a brain template in the standard space. …”
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Algorithm for Defining the Amount of Energy Transferred by Dry Saturated Steam by Leonid Lesovoy, Roman Fedoryshyn, Oleh Pistun

“…The proposed method and equation for determining the amount of energy can be applied in digital devices for both technological and custody transfer metering of fluid energy carriers. Application of the developed algorithm in the microprocessor controllers and calculators provides the increase of computational speed at measurement of the amount of energy transferred by the fluid energy carrier with application of a long radius nozzle.…”
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A Novel Path Control Algorithm for Networked Underwater Robot by Minghong She, Liyu Tian

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Integrated artificial intelligence approach for well-log fluid identification in dual-medium tight sandstone gas reservoirs by Wurong Wang, Wurong Wang, Linbo Qu, Linbo Qu, Dali Yue, Dali Yue, Wei Li, Wei Li, Junlong Liu, Wujun Jin, Jialin Fu, Jialin Fu, Jiarui Zhang, Jiarui Zhang, Dongxia Chen, Dongxia Chen, Qiaochu Wang, Qiaochu Wang, Sha Li, Sha Li

“…To address the limitations of conventional machine learning algorithms, which have low accuracy due to data inhomogeneity and weak fluid logging responses, this study introduces a novel method for fluid logging evaluation in dual-medium tight sandstone gas reservoirs.MethodsThe method integrates core, thin section, and scanning electron microscope observations, taking into account the effect of fractures.ResultsReservoirs are divided into three types: fractured reservoirs (FR), porous reservoirs (PR), and microfracture-pore composite reservoirs (MPCR), highlighting the distinct fluid logging responses of each type. …”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…Here we document the fact that a commonly used multiple-flow-direction algorithm for calculating contributing area, i.e., <span class="inline-formula"><i>D</i>∞</span> of Tarboton (1997), is sufficiently biased along the cardinal and ordinal directions that it is unsuitable for some standard applications of flow-routing algorithms. …”
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Optimal mixture design for organic Rankine cycle using machine learning algorithm by Valerio Mariani, Saverio Ottaviano, Davide Scampamorte, Andrea De Pascale, Giulio Cazzoli, Lisa Branchini, Gian Marco Bianchi

“…Importantly, the targets and their respective weights within the objective function can be adjusted to meet the specific requirements of the application under analysis, making this approach adaptable to diverse research and industrial objectives. The algorithm is applied to a case study to demonstrate its ability to define a low-GWP blend that can replace HFC-134a in a micro-scale ORC with recuperator, while maintaining and potentially enhancing performance. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…A key innovation of this study is the development of an algorithm that processes low-amplitude high-frequency signals, which are often difficult to detect with conventional methods. …”
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Cell-free plasma miRNAs analysis for low invasive lung cancer diagnostics by M. Yu. Konoshenko, P. P. Laktionov, Yu. A. Lancuhaj, S. V. Pak, S. E. Krasilnikov, O. E. Bryzgunova

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Forced convection Heat transfer enhancement and entropy generation of non-Newtonian CNT–water nano-fluid in a channel with a wavy bottom wall by Sara Lahlou, Zoubair Boulahia, Rachid Sehaqui

“…Fluid velocity causes the local Nusselt number to rise when the Re number does. …”
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Structural Optimization of Disk Diffusers Based on Radial Basis Functions and Multi-Island Genetic Algorithms by Mengchao Liu, Jianing Fan

“…Utilizing a combined research methodology that integrates theoretical analysis, numerical simulation, full-scale experiments, surrogate model prediction, and multi-island genetic algorithm optimization, this study investigates both fluid flow and resistance distribution characteristics. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…The primary objective of this study is to produce sophisticated machine learning algorithms that can accurately predict bottomhole pressure while injecting guar cross-linked fluids into the fracture string. …”
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Location method of airborne plant disease source based on a non-local-interpolation algorithm by Jing Zhang, Linglan Zhu, Yifang Wang, Si Chen, Yafei Wang, Shifa Li, Lu Xiao, Ning Yang

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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

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Numerical Study on Interaction Between the Water-Exiting Vehicle and Ice Based on FEM-SPH-SALE Coupling Algorithm by Zhenting Diao, Dengjian Fang, Jingwen Cao

“…The S-ALE algorithm was used to simulate the process of fluid/structure interaction, and its accuracy was verified through the wedge-body water-entry test and simulation. …”
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Numerical Simulation and Optimization of Wind Effects of Porous Parapets on Low-Rise Buildings with Flat Roofs by Ye Qiu, Bingbing San, Youyi Zhao

“…This paper presents a procedure to optimize the porosity of parapets to improve the aerodynamic behavior of low-rise buildings with flat roofs, by coupling an optimization algorithm and computational fluid dynamics (CFD) simulations. …”
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