Improved Estimation Procedure of Cage-Induction-Motor-Equivalent Circuit Parameters Based on Two-Stage PSO Algorithm by Jovan Vukašinović, Saša Štatkić, Nebojša Arsić, Nebojša Mitrović, Bojan Perović, Andrijana Jovanović

“…The analysis aimed to assess the impact of these approximations and assumptions on equivalent circuit parameter estimation errors. …”
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New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model by Hebatalla H. Mohammad, Ali T. Hammad, Abeer A. EL-Helbawy, Zakiah I. Kalantan, Alexis Habineza, Eslam Hussam, Ahmed M. Gemeay

“…Finally, we analyzed a real-world dataset that encompasses both problems, and the results confirmed the theoretical and simulation results and demonstrated the superiority of the proposed estimator, introducing a new approach to data analysis.…”
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NH4 Modelling with ARIMA and LSTM by Hanna Arini Parhusip, Suryasatriya Trihandaru, Johanes Dian Kurniawan

“…The study investigates the effectiveness of AI-Mining in detecting and predicting gas levels, focusing on data collection and analysis. Initial data analysis employed the Autoregressive Moving Average (ARIMA) model, specifically ARIMA (1,1,1), described by the equation yt = 0.0311 - 0.0750yt-1 + 0.3842εt-1. …”
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Empirical Bayes Estimators for Mean Parameter of Exponential Distribution with Conjugate Inverse Gamma Prior Under Stein’s Loss by Zheng Li, Ying-Ying Zhang, Ya-Guang Shi

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JUSTIFICATION OF OPTIMUM PARAMETERS AND MATHEMATICAL MODEL OF HIGH-TEMPERATURE ROTATIONAL STERILIZATION OF COMPOTES IN SKO-1- 82-3000 CONTAINER by M. E. Achmedov, A. F. Demirova, N. G. Zagirov, V. V. Pinyaskin, M. M. Achmedova

“…Researches are conducted at speeds of heated air from 1,2 m/s to 8,5m/s and temperatures 120-1500C.It is revealed that for SKO 1-82-3000 banks it is possible to consider as the optimum temperature of the heat carrier (heated air) tv =150 and higher than 0C. The analysis of experimental data and their processing with use of a method of the smallest squares allowed to receive the equation for calculation of duration of heating of compotes in a stream of heated air in SKO 1-82-3000 container depending on temperature of the heating tv environment and its speed υв .The relative error by comparison of settlement and skilled data fluctuates within 5–8%…”
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A neural network regression model for predicting student learning success based on prior achievements by Dorrer Mikhail

“…The paper describes a project utilizing data analysis tools to predict student performance based on their prior achievements. …”
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STUDY ON COMPILING LOAD SPECTRUM OF ACCELERATION LIFE TEST FOR HIGH SPEED PANTOGRAPH FRAME by QIAO Wei, MEI GuiMing, WANG JiangWen, HUANG Zhong, QIU JiangYang

“…In order to facilitate the loading of the test bench actuators, a load back push method is put forward, and the error of the contrast acceleration spectrum is controlled within 6% through the test bench data. …”
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Critical evaluation of feature importance assessment in FFNN-based models for predicting Kamlet-Taft parameters by Yoshiyasu Takefuji

“…A broader understanding of data distribution, statistical relationships, and significance testing through p-values is essential to rectify this. …”
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Performance Evaluation of a Selection Combining Scheme for the Hybrid FSO/RF System by Wafaa Mohammed Ridha Shakir

“…The proposed hybrid system transmits the same data with the same data rate over both links simultaneously. …”
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The Interdependence between Rainfall and Temperature: Copula Analyses by Rong-Gang Cong, Mark Brady

“…Heteroscedasticity and autocorrelation of sample data are also considered to eliminate the possibility of observation error. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…The digital elevation model (DEM) provides important data support for geographic information analysis. …”
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A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications by Wei Liu, Shuai Li, Di Fan, Yixin Wen, Austin Madson, Jessica Mitchell, Yaqian He, Di Yang

“…The successful integration of terrain feature analysis with panchromatic imagery overcomes traditional spectral limitations of historical satellite data. …”
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Hybrid machine learning applications in pavement engineering: predicting spalling with PSO-GBM by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…Feature importance analysis identified Age, KESAL, and Initial IRI as the most influential variables. …”
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AI's effectiveness in language testing and feedback provision by Ahmed Alshehri

“…Quantitative data was analyzed using ANOVA and regression analysis, while qualitative data was analyzed using thematic analysis. …”
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Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol. by Nathaniel J Pollock, Cassandra Yantha, Lil Tonmyr, Kimberly Jewers-Dailley, Melody E Morton Ninomiya

“…However, sources of bias and error can impact the quality of administrative data. …”
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The Dollar and Gold: Which is the Safest Haven? COVID-19 Evidence by Bousbia Salah Rahima, Beggat Hanane, Debbar Abdelkerim

“…The study includes a quantitative analysis of variables, including the Johansen cointegration test, the Granger causality test, and the error correction model. …”
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The effectiveness of the educational package of happiness skills based on Islamic approach and comparison with Fordyce's happiness package on happiness, life satisfaction and anger... by Tayebe Vahdani Khorram, Fatemeh Fayyaz, j avad Eynypour

“…Variance analysis with repeated measurements were used for analyzing the data. …”
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From garbage to biosorbent: overview raw and hexane purified almond shells for nickel (II) ions removal by Hasan Koçyiğit, Gülden Gök, Hakan Çelebi

“…The findings of the error analysis showed that the HYBRID functions were the smallest in all models. …”
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Application of a KAN-LSTM Fusion Model for Stress Prediction in Large-Diameter Pipelines by Zechao Li, Shiwei Qin

“…Specifically, the proposed model attains a mean absolute error (MAE) of 0.033, a root mean square error (RMSE) of 0.035, and a coefficient of determination (R²) of 0.92, underscoring its superior accuracy and efficiency, and it can be used for the long-term prediction of stress in large-diameter pipes. …”
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Dryout modelling for both homogeneous and stratified debris beds by Cheng Peng, Kaiwen Shi, Jian Deng, Jiang Wu

“…Validation is performed using experimental data from KTH's POMECO-HT (top-injection) and VTT's STYX-3.1 tests.ResultsThe two-phase flow model achieved a 20% DHF prediction error, while the interfacial shear model reduced errors to 8.9%. …”
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