Application of Machine Learning Methods for Employee Turnover Prediction Based on Open Data by A. N. Kazinets

“…The application of machine learning methods for predicting staff turnover in organizations using open data is studied. …”
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APPLICATION OF YATES METHOD FOR MISSING DATA ESTIMATION IN YOUDEN SQUARE DESIGN AND ANALYSIS by Ratna Melati Hadiputri, Syifa Nayla Alifaa, Restu Arisanti, Sri Winarni

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Machine Learning Applications for Predicting High-Cost Claims Using Insurance Data by Esmeralda Brati, Alma Braimllari, Ardit Gjeçi

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Application Prospects and Challenges of VHF Data Exchange System (VDES) in Smart Fisheries by Zuli Wu, Minsi Xiong, Tianfei Cheng, Yang Dai, Shengmao Zhang, Wei Fan, Xuesen Cui

“…Suggestions such as its integration with emerging technologies, the realization of global seamless coverage, and the strengthening of international cooperation and data sharing are proposed. This paper aims to provide theoretical guidance and scientific reference for the promotion and application of the VDES in smart fisheries.…”
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A novel extended Kumaraswamy distribution and its application to COVID‐19 data by Ahmad Abubakar Suleiman, Hanita Daud, Aliyu Ismail Ishaq, Mahmod Othman, Huda M. Alshanbari, Sundus Naji Alaziz

“…Abstract In the field of biomedical research, data characteristics often exhibit significant variability, challenging the applicability of classical probability distributions for biomedical data modeling. …”
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Research on autonomous driving scenario modeling and application based on environmental perception data by Ming Cao, Wufeng Duan, Changqing Huo, Song Qiu, Mingchun Liu

“…A method for modeling autonomous driving scenarios based on real vehicle environment perception data is proposed. Through the parsing of high-definition maps and processing of real vehicle perception data, this method enables the generation of autonomous driving simulation scenarios that closely replicate actual traffic environments. …”
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Overview of Radiological Reporting and Data System (RADS) Guidelines Currently Applicable in Surgery by Marco Parillo, Carlo Cosimo Quattrocchi

“…Standardized frameworks for interpreting medical images, such as the radiological Reporting and Data Systems (RADS), are designed to improve the consistency and accuracy of radiological assessments across different imaging modalities, anatomical locations, and disease processes. …”
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Application of weighted low rank approximations: outlier detection in a data matrix by Marisol García-Peña, Sergio Arciniegas-Alarcón, Kaye E. Basford

“…Results Six criteria for identifying outliers from weighted approximations were considered, including simple residuals, squared residuals with differential weights, Jackknife and their corresponding iterative versions, and they were compared with the gold standard one based on limits from a bias-adjusted boxplot. All methods are applicable to any numerical data set written in matrix form, e.g. experiments with genotype-by-environment interaction. …”
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Peculiarities of real-world data application for health technology assessment in Asian countries by B. B. Kondratyeva, F. V. Gorkavenko, V. V. Omelyanovskiy

“…The article is devoted to the study of regulatory approaches to the sphere of real-world data (RWD) and real world evidence (RWE) in the countries of the Asia-Pacific Region (China, South Korea, Japan, Taiwan, etc.) and examples of their practical application for health technology assessment. …”
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A review of independent component analysis application to microarray gene expression data by Wei Kong, Charles R. Vanderburg, Hiromi Gunshin, Jack T. Rogers, Xudong Huang

“…As a technique of higher-order statistical analysis, ICA is capable of extracting biologically relevant gene expression features from microarray data. Herein we have reviewed the latest applications and the extended algorithms of ICA in gene clustering, classification, and identification. …”
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Application of data visualization technology in human resource management and employee resignation prediction by Xue Wang, Nannan Huang

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A Statistical Methodology for Evaluating Asymmetry after Normalization with Application to Genomic Data by Víctor Leiva, Jimmy Corzo, Myrian E. Vergara, Raydonal Ospina, Cecilia Castro

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Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational Reform by Haohan Ding, Zhenqi Xie, Chao Wang, Wei Yu, Xiaohui Cui, Zhenyu Wang

“…This study reviews the applications of big data (BD) and blockchain technology in modern food testing and explores their impact on educational reform. …”
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Application of security threat intelligence based on big data analysis in telecom operators by Mingxia BO, Hongyu TANG, Chen MA, Jian ZHANG

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Nitrate Content in Open Field Spinach, Applicative Case for Hyperspectral Reflectance Data by Walter Polilli, Angelica Galieni, Fabio Stagnari

“…Furthermore, a simulation of the practical application was conducted using Italian Ministry of Health official data with the scope of showing a potential use case in improving nitrate management and for advancing efficient farming practices in agriculture. …”
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The Weibull Generalized Exponential Distribution with Censored Sample: Estimation and Application on Real Data by Hisham M. Almongy, Ehab M. Almetwally, Randa Alharbi, Dalia Alnagar, E. H. Hafez, Marwa M. Mohie El-Din

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Development of a novel extension of Rayleigh distribution with application to COVID-19 data by Danish Qayoom, Aafaq A. Rather, Ohud A. Alqasem, Zahoor Ahmad, M. Nagy, Abdirashid M. Yousuf, A. H. Mansi, Eslam Hussam, Ahmed M. Gemeay

“…The developed model’s practical applicability is demonstrated with an analysis of COVID-19 data, comparing its performance with several well-known distributions. …”
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Massive-Scale Data Mining to Enhance Digital Library with Applications in College Education by Chunyan Xu, Jing Bai

“…We in this paper study the current situation of digital libraries and the development of personalized services in digital libraries. We focus on data mining-related technologies, the development of digital library data exploration technologies, and the provision of Internet application services. …”
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Condensation of Data and Knowledge for Network Traffic Classification: Techniques, Applications, and Open Issues by Changqing Zhao, Ling Xia Liao, Guomin Chen, Han-Chieh Chao

“…Condensation techniques offer a solution by reducing the data size, simplifying complex models, and transferring knowledge from traffic data. …”
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Bayesian Inference for the Beta-Weibull Distribution with Applications to Cancer and Under-nutrition Data by Fekade Getabil Habtewold, Ayele Taye Goshu, Butte Gotu Arero

“…Abstract The Weibull probability distribution is known to model data from many application areas such as health science, biological science, engineering, finance, economy and education. …”
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