A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm by Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang, Yang Chen

“…First, using a variable projection algorithm, we separated the linear (amplitude) and nonlinear (center position and width) parameters in the Gaussian function model; the linear parameters are expressed with nonlinear parameters by the function. …”
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Assessment of Cardiac Autonomic Function by Short-Term Sensor-Based and Long-Term Heart Rate Variability Analyses in Individuals with Spinal Cord Injury After Long-Term Table Tenni... by Georgia Vogiatzi, Vasiliki Michou, Nikos Malliaropoulos, Vasileios Tsimaras, Asterios Deligiannis, Evangelia Kouidi

“…Our results indicate that a 6-month table tennis training program is efficient and can improve cardiac ANS activity mainly by increasing sympathovagal balance.…”
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CFD-based optimization of dynamic cyclones with variable vortex length using GMDH artificial neural network by Hamed Safikhani, Somayeh Davoodabadi Farahani, Lakhbir Singh Brar, Faroogh Esmaeili

“…In the second phase, data obtained from the numerical simulations is used to construct objective function models, focusing on minimizing pressure drop and maximizing collection efficiency. …”
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Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…To overcome such an environment, in this study, an optimization flow for structural optimization is considered, and states, actions, and rewards appropriately representing design variables, constraint conditions, and objective functions are discussed. …”
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Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

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An adaptive sliding mode fault-tolerant control of variable speed reaching law for steer-by-wire systems by Jinwen Yang, Yinquan Yu, Dequan Zeng, Yiming Hu, Junhui Liu, Kai Liu, Giuseppe Carbone, Shaohua Luo, Xiaofeng Zhu

“…To solve the inadequate tracking accuracy resulting from actuator fault and system disturbances, an adaptive sliding mode fault-tolerant control strategy based on a variable-speed reaching law (VSRL-ASMFTC) is proposed. …”
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New Numerical Algorithm to Solve Variable-Order Fractional Integrodifferential Equations in the Sense of Hilfer-Prabhakar Derivative by MohammadHossein Derakhshan

“…In this article, a numerical technique based on the Chebyshev cardinal functions (CCFs) and the Lagrange multiplier technique for the numerical approximation of the variable-order fractional integrodifferential equations are shown. …”
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Enhanced thermal performance of variable cross-section solar collectors: a case study in Santiniketan, India by Pranab Kanti Roy

“…Abstract We present analytical models for variable cross-section absorber plate solar collectors, where the thermal conductivity, overall heat loss coefficient, and incident solar heat flux are power-law functions of temperature. …”
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Analysis of Current Ratio and Debt to Equity Ratio on Return On Assets with Company Size as a Moderating Variable by Mardiyani Mardiyani, Maiyaliza Maiyaliza, Rahmat Rian Hidayat, Muhammad Dwika Pramudya

“…This means that an increased liquidity, along with the proportion of debt can reduce the efficiency and profitability of the company. Company size strengthens the effect by functioning as a moderating variable. …”
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Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation by Sambandh Dhal, Jorge Alvarado, Ulisses Braga-Neto, Benjamin Wherley

“…The synthetic data were derived from observations collected from irrigation plots at the Texas A&M University Turfgrass Laboratory in Texas, United States, with Soil Wetting Efficiency Index (SWEI) serving as the target variable. …”
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High-Order Spectral Method of Density Estimation for Stochastic Differential Equation Driven by Multivariate Gaussian Random Variables by Hongling Xie

“…All the presented stochastic equations are driven by bivariate Gaussian random variables. The efficiency is compared with the Monte-Carlo method based on the known random function.…”
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Sharp L2 Norm Convergence of Variable-Step BDF2 Implicit Scheme for the Extended Fisher–Kolmogorov Equation by Yang Li, Qihang Sun, Naidan Feng, Jianjun Liu

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Does climatic variation drive the adjustment of functional traits? An assessment of Tropical Montane Cloud Forest tree species by Agustina Rosa Andrés-Hernández, Ernesto C. Rodríguez-Ramírez

“…These findings underscore the functional diversity of TMCF trees and their capacity to acclimate to environmental variability. …”
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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…Through approximation, a generating dependence of the switching frequency of the converter’s power switches on the harmonic distortion coefficient of the stator and rotor currents of the asynchronous motor has been established. The target function, initially dependent on three variables, has been transformed into a function of a single variable. …”
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A new method for routing protocols using hybrid fuzzy clustering in UWSNs by Xiaoju Wang, Bin Meng, Xuexu Yuan, Junwei Zhao

“…Besides, the new scheme improved energy variance by 40% at nodes to prolong the network lifetime and maintain a higher throughput in conditions of variable network load. This fuzzy clustering technique stands apart because it tries to overcome UWSN-specific challenges using adaptive data aggregation along with multistep communication and hence is more resistant and energy-efficient compared to the conventional protocols.…”
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Eficiência técnica na suinocultura: efeitos dos gastos com meio ambiente e da renúncia fiscal Technical efficiency in swine breeding: effect of the expenses with the environment an... by Benedito D. Pereira, João C. de S. Maia, Rosalina Camilot

“…After estimating the technical efficiency indices with data of ten properties situated in Mato Grosso from production functions, whose dependent variable is represented by the production of swine and the independent ones are the consumption of water, electricity and the amount of workers directly tied with the productive process. …”
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Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces by Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang

“…In aerodynamic shape optimization, geometric parameterized variables have a significant impact on the flow field, thereby influencing both the effectiveness and efficiency of the optimization process. …”
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Comparison of Different Numerical Models for Solidification of Paraffin-Based PCMs and Evaluation of the Effect of Variable Mushy Zone Constant by Milad Tajik Jamalabad, Cristobal Cortes, Javier Pallarés, Antonia Gil, Inmaculada Arauzo

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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The article shows that the use of the sinusoidal regression function makes it possible to identify the cyclicity of time series, which will help in assessing the dynamics of mudflows taking into account long-term changes in climate variables. …”
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