Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

“…Optimization of the selection process of multivolume, multiparameter logging data when modelling a complex oil reservoir at the stage of additional field exploration, grouping well data by quality, completeness and uniformity of their distribution over the study area, as well as identifying inaccuracies (errors) in the field data (registration of signals in probes, errors in measurements of directional survey, borehole picks, etc.).Materials and methods. …”
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<i>H</i>_∞ Preview Tracking Control of Time-Delay Discrete Systems and Its Application in Nuclear Reactor Problems by Fucheng Liao, Hao Xie, Xianchun Meng, Jiang Wu, Yucheng Wei, Jiamei Deng

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Development of a modeling tool for simulating electricity demand and on site PV power production in high time resolution: Applications in Costa Rica by Sophia Ruiz-Vásquez, Carlos Roldán, Vicky Cheng

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Layout Optimization of Multi-Robot Manufacturing Processing Systems: Applications in Directed Energy Deposition–Arc Additive Manufacturing and Jig-Less Welding by Michail Aggelos Terzakis, Christos Papaioannou, Iñaki Sainz, Jonatan Rodriguez Vazquez, Panagiotis Lagios, Enrique Gil Illescas, Panagiotis Stavropoulos

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High-Resolution Spatiotemporal Forecasting with Missing Observations Including an Application to Daily Particulate Matter 2.5 Concentrations in Jakarta Province, Indonesia by I Gede Nyoman Mindra Jaya, Henk Folmer

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FASTSeg3D: A Fast, Efficient, and Adaptive Ground Filtering Algorithm for 3D Point Clouds in Mobile Sensing Applications by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…Results: FASTSeg3D achieved state-of-the-art performance, with a mean error of <7%, error sensitivity < 10%, and IoU scores > 90% in all scenarios except extreme cases (rainy/night small-object conditions). …”
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TSVD Regularization-Parameter Selection Method Based on Wilson-θ and Its Application to Vertical Wheel-Rail Force Identification of Rail Vehicles by Jiaxin Wu, Tao Zhu, Yijun Wang, Cheng Lei, Shoune Xiao

“…Second, the response corresponding to the dynamic load is identified using the Wilson-θ method, and the minimum error between the response and the input response is obtained. …”
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Nonlinear Grey Prediction Model with Convolution Integral NGMC (1,n) and Its Application to the Forecasting of China’s Industrial SO2 Emissions by Zheng-Xin Wang

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House Swallow Optimizer: A New Meta-Heuristic Algorithm and Its Application for DOA Estimation of Broadband Signal in Vector Hydrophone Array by Jie Dong, Lifu Wang, Shuhui Qiao, Peng Wang, Xiuhui Tan

“…In order to verify the engineering application potential of the optimization algorithm proposed in this paper, aiming at the problems of large estimation error, high computational complexity and low accuracy in the DOA estimation of broadband signal of vector hydrophone array, the HSO algorithm is applied to the ML algorithm, and the DOA estimation of broadband signal is successfully carried out. …”
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Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI by Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins

“…The model demonstrated satisfactory accuracy, with a mean squared error (MSE) of 1.82, and predicted irritability severity scores with a mean absolute error (MAE) of 0.48 ± 1.54 SD from the true scores. …”
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An algorithm for matching original experimental records based on improved CDC by CAI Yina, CHEN Xin, QIN Zhiwu, WANG Xin, BAO Xianyu, PENG Jinxue, LIN Yongqi, LI Junlin

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The effect of the application of feedback on second-stage labor companion skills and Objective Structured Clinical Examination results of associate degree midwifery students by Sri Y. Mile, Budu Budu, Mardiana Ahmad, Sutina Made

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Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 by Z. Engberg, R. Teoh, T. Abbott, T. Dean, M. E. J. Stettler, M. L. Shapiro

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Critical values for 33 discordancy test variants for outliers in normal samples up to sizes 1000, and applications in quality control in Earth Sciences by Surendra P. Verma, Alfredo Quiroz-Ruiz, Lorena Díaz-González

“…For the first time in the literature, the standard error of the mean is also reported explicitly and individually for each critical value. …”
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The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals by Yang Liu, Yang Liu, Renzhao Liang, Chengzhi Zhang

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The global convergence of some self-scaling conjugate gradient methods for monotone nonlinear equations with application to 3DOF arm robot model. by Sulaiman M Ibrahim, Lawal Muhammad, Rabiu Bashir Yunus, Muhammad Yusuf Waziri, Saadi Bin Ahmad Kamaruddin, Aceng Sambas, Nooraini Zainuddin, Ali F Jameel

“…Numerical experiments demonstrate the efficiency of the proposed methods in solving large-scale nonlinear systems, including their applicability to accurately solving the inverse kinematic problem of a 3DOF robotic manipulator, where the objective is to minimize the error in achieving a desired trajectory configuration.…”
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Statistical Inference to the Parameter of the Inverse Power Ishita Distribution under Progressive Type-II Censored Data with Application to COVID-19 Data by Kariema A. Elnagar, Dina A. Ramadan, Beih S. El-Desouky

“…In addition, Bayesian estimates for “squared error loss” (SEL) and LINEX loss functions are provided. …”
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Seasonal effects in the application of the MOment MAtching (MOMA) remote calibration tool to outdoor PM_2.5 air sensors by L. F. Weissert, G. S. Henshaw, A. L. Clements, R. M. Duvall, C. Croghan, C. Croghan

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A framework for performance analysis of OpenStreetMap data in navigation applications: the case of a well-developed road network in Australia by Reza Hosseini, Daoqin Tong, Samsung Lim, Gunho Sohn, Győző Gidófalvi

“…Although much effort has been put into assessing and improving OpenStreetMap (OSM) data quality, further research is required to determine its reliability and robustness for real-world applications. This study introduces a framework, built on open-source geospatial tools, for analysing the performance of OSM road data across different navigation applications. …”
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Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study by Xiaolei Lu, Chenye Qiao, Hujun Wang, Yingqi Li, Jingxuan Wang, Congxiao Wang, Yingpeng Wang, Shuyan Qie

“…Model performance was evaluated using mean squared error (MSE), the coefficient of determination (R²), and mean absolute error (MAE). …”
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