Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk by Hristo V. Uzunov, Plamen G. Matzinski, Vasil H. Uzunov, Silvia V. Dechkova

“…The results demonstrate that both approaches are applicable for risk assessment, with Random Forest exhibiting higher accuracy and robustness in handling complex and heterogeneous data. Correlation analysis confirms a statistically significant linear relationship between the outputs of the two methods, supporting their validity. …”
Get full text

Effect analysis of the teaching method of mutual result correction between students in an experiment of power electronics course by Guopeng Zhao

“…There are two classes in this study: one that applies the method and the other that does not. According to the statistics and analysis of the correct rate of experimental results and the answers to thinking questions, students who checked or corrected each other deepened their understanding of the experimental content when both groups did the experiments correctly. …”
Get full text

Nonlinear Dynamics Analysis of Handgrip Strength Using the Poincaré Plot Method Through Video Processing Techniques by Constantin Ciucurel, Elena Ioana Iconaru

“…Angular values were converted to force using a calibration-based formula, and the Poincaré plot computed variability indices (short-term variability—SD₁, long-term variability—SD₂, ratio SD₁/SD₂, and area of the fitting ellipse) for each hand in relation to HGS and angular velocity (AV). Data analysis included descriptive and inferential statistics. …”
Get full text

Development and Validation of a Method for the Analysis of Zinc Oxide in Cosmetic Matrices by Flame Atomic Absorption Spectroscopy by Luis F. Benavides, Juan D. Marín, Cristian Rosales, Johnbrynner García

“…The robustness of the method was evaluated with a five-variable Youden–Steiner model. …”
Get full text

Analysis of dynamic process models for aviation battery systems by S. I. Gavrilenkov

“…The paper analyzes existing modeling approaches, including empirical, physicochemical and statistical methods, as well as machine learning methods. …”
Get full text

The variation rule of TBM tunneling parameters in deep composite strata and the recognition method of boreability grade by Haibin Wang, Guogang Cui, Zhen Shi, Ling Zhang, Chengdeng Gao, Ziwei Ding

“…Descriptive statistics, correlation analysis, regression analysis, and other Mathematical and statistical methods are used to analyze the change rule of TBM tunneling parameters in different formations, and the optimized regulation range of tunneling parameters is proposed. …”
Get full text

Mass medicine vs. personalized medicine: from mathematical methods to regulatory implications by Inderpal S. Randhawa, Grigori Sigalov

Get full text

National administrative record linkage between specialist community drug and alcohol treatment data (the National Drug Treatment Monitoring System (NDTMS)) and inpatient hospitalis... by Katie L Harron, Martin White, Emmert Roberts, Matthew Hotopf, Colin Drummond, James C Doidge, Jonathan Knight, Brian Eastwood

Get full text

Classified risk assessment method of Android application based on multi-factor clustering selection by Fan CHAO, Zhi YANG, Xuehui DU, Bing HAN

Get full text

Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

“…Particular attention is paid to analysing the effectiveness of various machine learning algorithms for anomaly detection. Statistical methods based on probabilistic models are considered, which allow relatively accurate determination of normal limits provided sufficient historical data is available. …”
Get full text

De la statistique textuelle à l’analyse des idéologies : l’exemple du discours révolutionnaire en Amérique latine (1810-2010) by Serge de Sousa

“…The articulation between qualitative and quantitative approaches, his relevance and the modalities of its implementation have long been questioned outside of discourse analysis. It appears that, in discourse analysis in particular, qualitative and quantitative could be well advise to be called up jointly by articulating discourse theory and statistical methods. …”
Get full text

A Comprehensive Study of Nonlinear Mixed Integro-Differential Equations of the Third Kind for Initial Value Problems: Existence, Uniqueness and Numerical Solutions by Ahmed S. Rahby, Sameh S. Askar, Ahmad M. Alshamrani, Gamal A. Mosa

Get full text

Pathology of bone epiphyses and frequency of various damage degree cases in patients with rheumatoid arthritis complicated by knee joint frontal deformities by V. V. Hryhorovskyi, Ye. M. Avtomieienko

Get full text

Scoring system development for prediction of extravesical bladder cancer by Prelević Rade, Stojadinović Miroslav M., Simić Dejan, Spasić Aleksandar, Petrović Nikola

Get full text

Substantiation of source data on the parametric algorithms for the classification of weather hazards by O. V. Vasiliev, E. S. Boyarenko, K. I. Galaeva

“…The article provides brief descriptions of the methods of conducting experiments to form statistical database and its analysis. …”
Get full text

The Scientometric Overview of the Economics Disciplines Publications in Kazakhstan in 1997-2022 by D. K. Amirbekova, M. M. Bigabatova

Get full text

Machine Learning for Fire Safety in the Built Environment: A Bibliometric Insight into Research Trends and Key Methods by Mehmet Akif Yıldız

“…This study evaluates machine learning applications in fire safety using a comprehensive approach that combines bibliometric and content analysis methods. For this purpose, as a result of the scan without any year limitation from the Web of Science Core Collection-Citation database, 250 publications, the first of which was published in 2001, and the number has increased since 2019, were reached, and sample analysis was performed. …”
Get full text

A New Hjorth Distribution in Its Discrete Version by Hanan Haj Ahmad, Ahmed Elshahhat

“…We also derive key statistical properties, including the quantile function and order statistics, and then employ maximum likelihood and Bayesian inference methods. …”
Get full text

Machine Learning Applications for Predicting Longitudinal Cracking in Continuously Reinforced Concrete Pavement by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

Get full text

ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products by Wilson Lara, Maria C. Londoño, Ivan Gonzalez, Victor H. Gutierrez‐Velez

Get full text