Leaf Orientation Method as a Proxy for Sensing Nitrogen and Water Deficit in Tomato Plants by Yahia A. Othman, Daniel Leskovar

“…Overall, leaf orientation, specifically MTA, was modulated by N levels (highest at 10 mg·L−1; lowest at 300 mg·L−1–N) and cycles of water deficit and therefore, MTA determination hold promise as a nondestructive method to assess N and water deficit in young tomato plants.…”
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Intelligent decision-making and regulation method of gas extraction “borehole-pipe network” system by Kai WANG, Dongxu WANG, Aitao ZHOU, Junwen ZHANG, Fangzhou SONG, Chang’ang DU, Yushuang HAO, Xihui FAN, Wei ZHAO

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Chemical magnetic field-assisted batch polishing method of 316L stainless steel by Fukang Yin, Chenchun Shi, Zikang Huang, Ke Wu, Jinbang Li, Chunjin Wang

“…Based on the principle of magnetic field-assisted batch polishing (MABP) proposed by our research team previously, a novel chemical magnetic field-assisted batch polishing (CMABP) method here is developed by adding chemical reagents (i.e., the mixture of oxalic acid and hydrogen peroxide) in the preparation process of regular magnetic brush, desiring and expecting to further realize the polishing of 316L stainless steel with higher precision and efficiency simultaneously. …”
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A Scheduling Model in Capturing Methane Gas from Methane Clathrates Deposits by Anyanwu U. O., Okafor O. C., Nkwor C. A.

“…The execution of any project type, especially engineering-based projects, is usually time-based, efficiency-driven, and cost-effective. These factors are the deterministic parameters that engineer successful project completion. …”
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Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable by LIU Xianli, SONG Houwang, WU Shi, YUE Caixu, Steven Y.Liang, LI Rongyi

“…K-means + + algorithm is used to cluster all temperature measurement points, and correlation coefficient method is used to calculate the correlation between each temperature variable and the thermal error of the spindle, so as to determine the temperature sensitive points, combined with the separated thermal error to establish a multivariate linear regression model of spindle thermal error. …”
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Quantitative Method of Response Value of Integrated Energy Equipment Based on Global Sensitivity Analysis by HUANG Yixiang, DOU Xun, LI Linxi, YANG Hanyu, YU Jiancheng, HUO Xianxu

“…Finally, simulations based on a commercial park in Jiangsu Province are conducted to determine the global sensitivity coefficients of the efficiency for each integrated energy device. …”
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Can a Non-Destructive Method Predict the Leaf Area of Species in the Caatinga Biome? by Toshik Iarley da Silva, João Everthon da Silva Ribeiro, Thainan Sipriano dos Santos, Marcos Roberto Santos Correia, Maria Carolina Borges de Oliveira Ribeiro, Allysson Jonhnny Torres Mendonça, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Ester dos Santos Coêlho, Aurélio Paes Barros Júnior, Elania Freire da Silva, Alfredo Emilio Rubio-Casal, João L. M. P. de Lima, Thieres George Freire da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim

“…These findings confirm the efficiency of allometric equations as a non-destructive method for predicting leaf area, providing an accessible and economical alternative for ecological studies in semi-arid environments.…”
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CMRNet: An Automatic Rapeseed Counting and Localization Method Based on the CNN-Mamba Hybrid Model by Jie Li, Chenbo Yang, Chengyong Zhu, Tao Qin, Jingmin Tu, Binhui Wang, Jian Yao, Jiangwei Qiao

“…Training and validation of CMRNet on the URCP dataset yielded exceptional performance metrics, with mean absolute error (MAE) of 5.70, relative root mean square error (rrMSE) of 8.08, and coefficient of determination (R<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>) of 0.9220. …”
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An Inverse Method to Obtain Porosity, Fibre Diameter and Density of Fibrous Sound Absorbing Materials by Jesus ALBA, Romina del REY, Jaime RAMIS, Jorge P. ARENAS

“…The most commonly used models to do so consider the flow resistiv- ity, porosity, and average fibre diameter as parameters to determine the acoustic impedance and sound absorbing coefficient. …”
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Thread inspection using the WAVELINE W800R profilometer: methodology for method verification by Kateryna Maiorova, Viktor Kalinichenko, Vitalii Bocharov, Iryna Voronko, Nabiyev Khayyam

“…The tasks include: the development and application of an evaluation algorithm for the calibration method; determination of key metrological characteristics affecting measurement accuracy; assessment of the method’s repeatability and within-laboratory reproducibility; analysis of the method’s stability under the influence of various factors; and determination of measurement accuracy using a comparison coefficient. …”
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Solving Systems of Volterra Integral and Integrodifferential Equations with Proportional Delays by Differential Transformation Method by Şuayip Yüzbaşı, Nurbol Ismailov

“…If the solutions of the problem can be expanded to Taylor series, then the method gives opportunity to determine the coefficients of Taylor series. …”
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Developing and validating a risk assessment method for noise-induced hearing loss in workers by Milad Abbasi, Saeid Yazdanirad, Ali Ahmadi

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The Comprehensive Modeling of Informational Coordination in Supply Chain of Automotive Industry by Meta-synthesis Method by Ali Mohaghar, Ahmad Jafarnejad, Mohamad Modares yazdi, Mohammad Reza Sadeghi Moghadam

“…Finally, by using theShanon entropy method, the effect coefficient of the elements wasdetermined in 194 previous researches.…”
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Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier by Anand Prakash, Jaisingh Thangaraj, Sharbani Roy, Shaury Srivastav, Jitendra K. Mishra

“…The impact of various model evaluation techniques: mean squared error (MSE), coefficient of determination (R²), root mean square measured data ratio (RSR) and the Nash-Sutcliffe coefficient (NSE) are discussed in detail. …”
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Improved assay for malondialdehyde determination in surimi by gas chromatography-mass spectrometry after alkaline hydrolysis by Wenjie Wang, Zhiwen Zhang, Zhigang Ke, Yuting Ding, Xuxia Zhou

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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…Subsequently, VMD is employed to perform secondary decomposition on the transition components obtained from the ICEEMDAN method and calculate the correlation coefficients. …”
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Over-deterministic method: The influence of rounding numbers on the accuracy of the values of Williams’ expansion terms by Vladimir Ruzicka, Lucie Malikova, Stanislav Seitl

“…Crack tip stress tensor components are expressed using the linear elastic fracture mechanics (LEFM) theory in this work, more precisely via its multi-parameter formulation, i.e. by Williams’ power series (WPS). Determination of the coefficients of the terms of this series is performed using the least squaresbased regression technique known as the over-deterministic method (ODM), for which displacements data obtained numerically in software ANSYS are taken as inputs. …”
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WEIGHTING IMPORTANCE SAMPLING METHOD FOR STRUCTURAL TIME-DEPENDENT FAILURE PROBABILITY FUNCTION ESTIMATION by QIAN YuGeng, YUAN XiuKai, CHEN JingQiang

“…To verify the accuracy and efficiency of the proposed method, numerical examples and industrial robot reducer examples are given and solved by the proposed method. …”
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A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining by Honghuan Chen

“…The innovative SE-PSO-VMD method is validated in ultrasonic metal welding and demonstrates a notable ability in predicting the pull force of welding materials with a high coefficient of determination R2 value of 0.78.…”
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Multi-Factor Modeling Method of the Load Sharing Ratio under Moving Train Loads by Yong Liu, Shiyu Zhang, Yang Jin, Yuxiang Song

“…At the same time, a procedure for establishing the LSR multi-factor prediction model is put forward, namely, we (1) determine the LSR function form and the fitting algorithm; (2) perform parameter sensitivity analysis to determine the main influencing parameters of the LSR function; and (3) design a quadratic regression orthogonal test to obtain the prediction formula of the LSR function coefficients. …”
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