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

“…Based on an open data set, a model is developed that allows for a high-precision determination of the probability of employee dismissal. …”
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Application of big data method in forecasting potential sensitive customers of electric power by Xiaofeng CHEN, Yadi ZHAO, Lipeng ZHANG, Feng ZHU

“…With the continuous development and extension of 95598 business,the intensity of manual telephone traffic increases.In order to further deepen the consciousness and understanding of the hidden features and the demands of the customers,improve the customer service level of 95598,the typical application scenarios in the customer service such as the tendency of the complaint were refined.Based on the data of power service orders,the key index of modeling was selected.Through entropy weight method,principal component analysis and decision tree and other data mining algorithms,potential complaint propensity customers and planned blackout sensitive customers in order to carry out targeted service resource scheduling were identified,fully do a good job of response measures,effectively reduce complaint pressure and improve service accuracy.…”
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Anemia and comorbidity in people over 65: data from the Russian study EUCALYPTUS by Natalia O. Khovasova, Natalya M. Vorobyeva, Anton V. Naumov, Irina P. Malaya, Yulia V. Kotovskaya, Olga N. Tkacheva

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Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data by Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim

“…This study aims to address the clinical applicability and heterogeneity of PD using PD severity subtypes classification and digital biomarker development by combining objective multimodal data with machine learning (ML) approaches. …”
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Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…The data collection process included the preparation and analysis of representative samples, with the aim of ensuring maximum accuracy and reproducibility of the measurements. …”
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An efficient IoT group association and data sharing mechanism in edge computing paradigm by Haowen Tan

“…The proposed scheme can provide data transmission and communication guarantees for special practical scenarios. …”
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Data transmission optimization algorithm for network utility maximization in wireless sensor networks by Chengtie Li, Jinkuan Wang, Mingwei Li

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Knowledge-base for interpretation of cerebrospinal fluid data patterns. Essentials in neurology and psychiatry by Hansotto Reiber

“…Calculations, Interpretations and analytical pitfalls are described for albumin quotients, quantitation of immunoglobulin synthesis in Reibergrams, oligoclonal IgG, IgM analysis, the polyspecific ( MRZ- ) antibody reaction, the statistical treatment of CSF data and general quality assessment in the CSF laboratory. …”
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Knowledge-base for interpretation of cerebrospinal fluid data patterns. Essentials in neurology and psychiatry by Hansotto Reiber

“…Calculations, Interpretations and analytical pitfalls are described for albumin quotients, quantitation of immunoglobulin synthesis in Reibergrams, oligoclonal IgG, IgM analysis, the polyspecific ( MRZ- ) antibody reaction, the statistical treatment of CSF data and general quality assessment in the CSF laboratory. …”
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Global map of characterized dust sources using multisource remote sensing data by Ali Darvishi Boloorani, Masoud Soleimani, Ramin Papi, Nastaran Nasiri, Fatemeh Amiri, Najmeh Neysani Samany, Kan Huang, Iraj Gholami, Ali Al-Hemoud

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Analyzing Competing Risks with Progressively Type-II Censored Data in Dagum Distributions by Raghd Badwan, Reza Pakyari

“…This study investigates the application of competing risk models in the presence of progressively Type-II censored data for the Dagum distribution, a flexible distribution suited for modeling data with heavy tails and varying skewness and kurtosis. …”
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A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data by Jennifer D. Hintzsche, William A. Robinson, Aik Choon Tan

“…WES technologies have shifted the bottleneck in experimental data production to computationally intensive informatics-based data analysis. …”
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Aircraft Gas Turbine Engine Health Monitoring System by Real Flight Data by Mustagime Tülin Yildirim, Bülent Kurt

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Comparative evaluation and comparability of satellite and airborne data on the ice content of the Sea of Okhotsk by V. A. Romanyuk, G. G. Zhuravlev

“…Information on the sea ice coverage is one of the most important for the development of the Sakhalin shelf. The paper deals with the evaluation of ice extent estimations in the Sea of Okhotsk based on data of the remote sensing and aerial observations in winter seasons 1970–1991. …”
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Enablers and barriers of Adopting BI-tool for data analytics in Large Enterprises of Bangladesh by Khanom Konika, Nahid Mehzabul Hoque, Rabbani Golam Mustafa Md. Nurullah

“…The objective of this research is to examine the factors that facilitate or hinder the incorporation of Business Intelligence (BI) tools for data analysis and decision-making in enterprises in Bangladesh, using an adapted TOE framework. …”
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Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption by Maulyanda Maulyanda, Rini Deviani, Afdhaluzzikri Afdhaluzzikri

“…Protecting the privacy of medical data while enabling sophisticated data analysis is a critical challenge in modern healthcare. …”
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A Simulation Approach to Detect Arterial Traffic Congestion Using Cellular Data by Shen Li, Jian Zhang, Gang Zhong, Bin Ran

“…Also, it can be the base for further analysis to detect traffic congestion on arterials using cellular data.…”
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Bayesian robust symmetric regression for medical data with heavy-tailed errors and censoring. by Mehmet Ali Cengiz, Talat Şenel, Muhammed Kara

“…Classical regression methods often yield unreliable results in the presence of outliers or incomplete observations, as commonly seen in clinical and survival data. To address these limitations, we develop a robust Bayesian regression model that incorporates symmetric error distributions such as the Student-t and Cauchy, providing improved resistance to extreme values. …”
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Analysing humanities scholars’ data seeking behaviour patterns using Ellis' model by Wenqi Li, Pengyi Zhang, Jun Wang

“…We recruited 27 humanities scholars with diverse academic backgrounds and conducted in-depth interviews. Analysis. A preliminary codebook was developed from existing literature. …”
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Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events by F. A. Sharifullin, D. D. Dolotova, T. G. Barmina, S. S. Petrikov, L. S. Kokov, G. R. Ramazanov, Y. R. Blagosklonova, I. V. Arkhipov, I. M. Skorobogach, N. N. Cheremushkin, V. V. Donitova, B. A. Kobrinski, A. V. Gavrilov

“…We used a previously developed specialized platform to enter clinical data on the stroke cases, to attach CT DICOMimages to each case, to contour 3D areas of interest, and to tag (label) them. …”
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