Evaluation of activity of internal audit: theoretical features and practical priorities by E.G.

“…As a method of evaluation of the quality of the internal audit activity, the author uses the dashboard, determines the basic steps in its use and suggests a list of indicators, which can be applied in the evaluation process. …”
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Wind Turbine Airfoil Noise Prediction Method Based on Generalized Airfoil Database and Residual Neural Network by Quan Wang, Haoran Zhang, Xiaodi Wang, Yang Ni

“…To address the limitations of existing wind turbine airfoil databases, the high computational cost, and low efficiency of noise prediction, this paper proposes a wind turbine airfoil noise prediction method based on generalized airfoil sets and residual neural networks. …”
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A Cloud Computing-Based Intelligent Forecasting Method for Cross-Border E-Commerce Logistics Costs by Yanting Li

“…Aiming at the problems of poor forecasting effect and low accuracy and low efficiency in current cross-border e-commerce logistics cost prediction methods, a cloud computing-based intelligent method for cross-border e-commerce logistics cost prediction is proposed. …”
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Effect of ADEEM methods (Assess, Do Massage Frirage, Exercise ROM, Evaluation, Making Schedule) on increasing muscle strength upper extremity of ischemic stroke patients at RSU GMI... by Noviyanti Parapaga, Fery Mendrofa, Julvainda Eka

“…</em></p><p class="Default"><strong><em>Objectives</em></strong><em> : This study aims to determine the effect of the ADEEM Method on increasing muscle strength in ischemic stroke patients. …”
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Online Estimation and Control Method of Optimal Slip Ratio for Vehicle With an Electric Power-Assisted Brake System by Lei Chen, Yuchao He, Tangtang Ma, Shengshi Zhong

“…During the identification, the initial value selection method and the segmented mean method are combined to improve accuracy and efficiency. …”
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A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

“…Effective feature selection determines the efficiency and accuracy of a learning process, which is essential in human activity recognition. …”
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A Novel Method of Self-Healing Concrete to Improve Durability and Extend the Service Life of Civil Infrastructure by Yan Xue, Weiliang Gao, Yanming Zhao

“…Finally, the Pareto frontier solution set is processed using the ideal point method selection approach to determine the optimal concrete mix ratio scheme. …”
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Development of a Gas Chromatography-Mass Spectrometry Method for the Quantification of Glucaric Acid Derivatives in Beverage Substrates by Ana Paula Craig, Christine C. Fields, John V. Simpson

“…A gas chromatography-mass spectrometry (GC-MS) method using the standard addition methodology was developed for the determination of glucuronolactone (GL) and glucuronic acid (DGuA) in four beverages categorized as detoxification, recovery, or energy drinks. …”
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Machine learning-based prediction method for open-pit mining truck speed distribution in manned operation by Changyou XU, Gang CHEN, Qiuxia ZHANG, Bo WANG, Hongwang ZHANG, Hongrui LI, Weiwei QIN, Muyang LI

“…Open-pit mining is a significant method for coal mining, making it crucial to enhance the transportation efficiency of mining trucks. …”
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A Data Resource Trading Price Prediction Method Based on Improved LightGBM Ensemble Model by Wan Nie, Bingliang Shen, Desheng Li

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An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model by Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo

“…Finally, the Informer model processes long-sequence data to improve prediction efficiency. Experimental results demonstrate that the VMD–KPCA–xLSTM–Informer model achieves an average absolute percentage error (MAPE) as low as 2.432% and 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>) of 0.9532 on dataset I, while, on dataset II, it attains a MAPE of 4.940% and an <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> of 0.8897. …”
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Increase of informativity of two-frequency method of defectometry at ultrasonic control of details and units of railway rolling stock by A. N. Kireev

“…Author proposed a solution for the improvement of the two-frequency defectometry method. A mathematical apparatus was developed and a method for determining the coefficient of the discontinuity shape was elaborate on its basis. …”
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Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method by Suha Falih Mahdi Alazawy, Mohammed Ali Ahmed, Saja Hadi Raheem, Hamza Imran, Luís Filipe Almeida Bernardo, Hugo Alexandre Silva Pinto

“…Performance measures, comprising the 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>), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE), were used to evaluate and contrast the performance of the implemented models. …”
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A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping by Biao Huang, Guijian Yang, Jiancong Lei, Xiaomi Wang

“…A case study on SOC sampling in northeastern France demonstrated that PcLHS consistently outperformed traditional sampling methods, achieving lower root mean square error (RMSE, 0.40–0.43), higher coefficient of determination (R2, 0.36–0.44), and improved concordance correlation coefficient (CCC, 0.58–0.63). …”
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A Novel Method for Obtaining the Electrical Model of Lithium Batteries in a Fully Electric Ultralight Aircraft by Jesús A. Salas-Cardona, José A. Posada-Montoya, Sergio D. Saldarriaga-Zuluaga, Nicolas Muñoz-Galeano, Jesús M. López-Lezama

“…The proposed method was validated with an all-electric ultralight aircraft designed and constructed at the Pascual Bravo University Institution. …”
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Digital Elevation Model-Driven River Channel Boundary Monitoring Using the Natural Breaks (Jenks) Method by Rongjie Gui, Wenlong Song, Juan Lv, Yizhu Lu, Hongjie Liu, Tianshi Feng, Shaobo Linghu

“…Finally, river channels were extracted from the clipped DEM data using the natural breaks classification method. The classification accuracy was assessed using a confusion matrix. …”
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A Fast Diagnosis Method of Escalator Reversal Faults Based on Dynamic Information and Multiattribute Decision-Making by Mingxing Jia, Zhiheng Pan, Guanghai Li, Chunhua Chen, Chen Wang

“…To this end, this paper proposes a multiattribute decision-making method that integrates dynamic information and gives the optimal troubleshooting order to improve the efficiency of the troubleshooting. …”
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A comparison of the heart rate deflection point by the S.Dmax method and the ventilatory threshold in sedentary men by Mehdi esbarzadeh, Marefat siahkouhian, Lotfali bolboli

“…Therefore, the S.Dmax method can be used for the determination ofanaerobic threshold in healthy young men.…”
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Estimation of chlorophyll content in rice canopy leaves based on main base analysis and dimensionality reduction method by YUAN Weinan, XU Tongyu, CAO Yingli, WANG Yang, YU Fenghua

“…The results showed that the modeling coefficient of determination (R²) was 0.689, with the root mean square error (RMSE) of 2.20, and the RMSE of validation model was 1.20. …”
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Iceball growth 3D simulation model based on finite element method for hepatic cryoablation planning by Shengwei Li, Yumeng Zhang, Fanyu Zhou, Sheng Xu, Yufeng Wang, Lin Cheng, Zhixin Bie, Bin Li, Xiao-Guang Li

“…Results The measurements in the ex vivo experiments showed a close similarity between the simulated and experimental iceball growth curves for three cryoprobe models, with all mean absolute error<2.9 mm and coefficient of determination>0.85. In the clinical validation, the simulation model achieved high accuracy with a DSC of 0.87 ± 0.03 and an HD of 2.0 ± 0.4 mm. …”
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