Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

“…Moreover, RK enhanced the Nash-Sutcliffe efficiency coefficient (RFRK: 0.34; GLMRK: 0.28) and coefficient of determination (RFRK: 0.5; GLMRK: 0.38) by 7.7 %–13.3 % and 2.2 %–2.4 %. …”
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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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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

“…The best equations were chosen based on the coefficient of determination, Pearson’s linear correlation coefficient, Willmott’s agreement index, mean squared error, root mean squared error, mean absolute error and mean absolute percentage error. …”
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Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone by V. V. Kulik, M. I. Goryunov

“…The coefficient of the restored data determination with out-of-bag (test set) data was > 0.8 with the data of scientific survey in 2021 and > 0.5 with the data of Danish seine observations. …”
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Effect of university teachers’ teaching style on EFL learners’ classroom engagement: the mediating role of self-efficacy by Wei Zhou, Qiong Liu

“…Methods Through convenience sampling, this study was administered on 1,064 EFL learners across seven Chinese universities and colleges representing different tiers using validated questionnaires. …”
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A Monitoring Method for Agricultural Soil Moisture Using Wireless Sensors and the Biswas Model by Yuanzhen Zhang, Guofang Wang, Lingzhi Li, Mingjing Huang

“…The model was calibrated using field capacity and crop wilting coefficients. Results demonstrated a strong correlation between model predictions and actual measured soil moisture storage, with a coefficient of determination (R²) exceeding 0.94. …”
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Liquid Chromatography/Tandem Mass Spectrometry Method for Quantitation of Cremophor EL and Its Applications by V. Vijaya Bhaskar, Anil Middha

“…A rapid sensitive and selective MRM based method for the determination of Cremophor EL (CrEL) in rat plasma was developed using liquid chromatography/tandem mass spectrometry (LC-MS/MS). …”
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Determination of 35 Antibiotics in Surface Water by High Performance Liquid Chromatography-Tandem Mass Spectrometry with Online Solid-Phase Extraction and Large-Volume Injection by Chaoqun LI, Lixiang LI, Yingjun REN, Jinhua ZHAO, Gang HUANG, Shiyang ZHOU, Liping LIU, Jingsi JIANG, Feng LIANG

“…The analytes were detected by multiple reaction monitoring (MRM) mode and were quantified by an internal standard method. The correlation coefficients of 35 antibiotics were greater than 0.995 with the calibration concentration range from 1−500ng/L. …”
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Agricultural Machinery Movement Trajectory Recognition Method Based on Two-Stage Joint Clustering by Shuya Zhang, Hui Liu, Xiangchen Cao, Zhijun Meng

“…The first stage involves trajectory clustering, where the spatial distribution characteristics of agricultural machinery trajectories are analyzed, and the position coordinates and the number of neighboring points of trajectory points are extracted as features. The silhouette coefficient method is used to determine the optimal number of clusters k for the K-Means algorithm, thus reducing the data scale. …”
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Energy Optimization of Sugarcane Bagasse by Oxidative Torrefaction: A Multiple Linear Regression Method by Diego A. Racero-Galaraga, Stiven Javier Sofan-German, Juan P. Arteaga-Ramos, Jorge M. Mendoza-Fandiño

“…Detailed analyses of collected data were carried out in the RStudio software environment, which showed the capacity of the model to explain calorific value of sugarcane bagasse, achieving a coefficient of determination R2 of 88.29%. The results showed that the model enhanced the understanding of biomass torrefaction processes and provided valuable tools for optimization, promoting more efficient and sustainable practices in energy generation from agricultural residues such as sugarcane bagasse. …”
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A SOH Estimation Method for Lithium-Ion Batteries Based on CPA and CNN-KAN by Kaixin Cheng, Chaolong Zhang, Kui Shao, Jin Tong, Anxiang Wang, Yujie Zhou, Zhao Zhang, Yan Zhang

“…Four 18650 batteries were tested under various charging and discharging conditions in a laboratory setting. The coefficient of determination (R²) exceeded 96.4%, the root mean square error (RMSE) was below 0.86%, and the mean absolute error (MAE) was under 0.7%, confirming that the proposed method demonstrates excellent estimation performance.…”
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Estimation method of the cohesion degree for the users’ profiles of social network based on open data by Valentina A. Kataeva, Igor S. Pantyukhin, Igor V. Yurin

“…The purpose of research was to study the existing methods of determining the degree of cohesion of two users of social network, identifying their shortcomings and developing a new method. …”
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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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Analysis of Mobile JKN Application Service Quality With E-GovQual Method and IPA by Randy Rizki Ananda, Indriani Noor Hapsari

“…The results of the coefficient of determination (R-Square) show that overall, the variables of ease of use, reliability, trust, content and appearance, functionality and interaction and citizen support significantly affect service quality by 88.6%. …”
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Genetic variability and selection criteria of some sunflower genotypes under different pollination methods by Mohamed Ali ABDELSATAR, Asmaa Abd EL-Halime AHMED, Suzan El-Latif Kamel IBRAHIM

“…To determinate self-compatible genotypes for increasing autogamy yielded, the ten sunflower genotypes were sown under four pollination methods i.e., open-, self-, hand- and sib-pollinations in a randomized complete block design replicated thrice at Kafr-El-Hamam Agricultural research Station, Sharkia Governorate, Agricultural Research Center, Egypt during 2018 and 2019 summer seasons. …”
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Comparison of different spatial interpolation methods for historical hydrographic data of the lowermost Mississippi River by Chia-Yu Wu, Joann Mossa, Liang Mao, Mohammad Almulla

“…Those interpolators were compared in terms of root-mean-square error (RMSE), mean absolute error (MAE), bias, and coefficient of determination (r2). Our results demonstrate that both of RBF and OKA performed the best in mapping the bathymetry of study reaches. …”
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Shale volume estimation using machine learning methods from the southwestern fields of Iran by Parirokh Ebrahimi, Ali Ranjbar, Yousef Kazemzadeh, Ali Akbari

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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…The results indicate that the proposed time-delay handling method improve the prediction accuracy of the model, validating the effectiveness of the proposed method. …”
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Wave Run-Up Distance Prediction Combined Data-Driven Method and Physical Experiments by Peng Qin, Hangwei Zhu, Fan Jin, Wangtao Lu, Zhenzhu Meng, Chunmei Ding, Xian Liu, Chunmei Cheng

“…Results demonstrate that the GMM-GBR combined model achieves a coefficient of determination <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> greater than 0.91, outperforming a conventional, non-clustered GBR model. …”
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A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network by Zhijian Wang, Likang Zheng, Wenhua Du, Wenan Cai, Jie Zhou, Jingtai Wang, Xiaofeng Han, Gaofeng He

“…Then the longest capsule is used to reconstruct fault time-frequency graphs which are used to measure the reconstruction of loss. In order to determine the convergence condition, the three losses are combined through the weight coefficient. …”
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