Analysis of The State of The Tourism Industry in Russia аnd The Direction of Its Development by P. G. Nikolenko, A. M. Terekhov

“…The purpose of the work is to assess the state of the tourism industry using statistical methods, analysis of scientific literature and identification of the main trends and promising directions of its development. …”
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Integrated systems approach to enhance rural development: word2vec analysis by Thabile Dube, Arnesh Telukdarie

“…Through advanced data analysis techniques, the word2vec research aims to quantitatively assess the interconnectedness of various rural subsystems and provide insights that can inform integrated and holistic approaches to rural development. …”
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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…Descriptive analysis (using Pearson’s and Spearman’s correlation) and predictive analysis (using CATBoost, Random Forest, and Support Vector Machine) were done on the data. …”
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A New Mathematical Model for Flank Wear Prediction Using Functional Data Analysis Methodology by Sonja Jozić, Branimir Lela, Dražen Bajić

“…In order to be able to predict flank wear a new linear regression mathematical model has been developed by utilizing functional data analysis methodology. …”
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A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials. by Jayne F Tierney, David J Fisher, Claire L Vale, Sarah Burdett, Larysa H Rydzewska, Ewelina Rogozińska, Peter J Godolphin, Ian R White, Mahesh K B Parmar

“…These are to: (1) start the systematic review process early, while trials are ongoing or yet to report; (2) liaise with trial investigators to develop a detailed picture of all eligible trials; (3) prospectively assess the earliest possible timing for reliable meta-analysis based on the accumulating aggregate data; (4) develop and register (or publish) the systematic review protocol before trials produce results and seek appropriate aggregate data; (5) interpret meta-analysis results taking account of both available and unavailable data; and (6) assess the value of updating the systematic review and meta-analysis. …”
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The Use of the Data Envelopment Analysis–Malmquist Approach to Measure the Performance of Digital Transformation in EU Countries by Jarmila Horváthová, Martina Mokrišová

“…As part of this research, the Variable Returns to Scale Data Envelopment Analysis (VRS DEA) model and the Malmquist index (MI) based on the DEA approach were applied. …”
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PROACTIVE APPROACH IN TAX RISK MANAGEMENT: DATA ANALYSIS TECHNIQUES TO IDENTIFY HIGH-RISK TAXPAYERS by Funda KARAKOYUN

“…While innovations in software programs with digitalisation transformation reduce the manual workload of the tax administration, machine learning algorithms are used with experts employed in the field in continuously developing risk analysis studies. For tax administrations that fall behind these developments, the identification of high-risk taxpayers, the effectiveness of collection, and tax compliance are becoming more difficult to audit in the context of rapidly increasing global data.   …”
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Analysis of different IDS-based machine learning models for secure data transmission in IoT networks by Gladić Dejana, Petrovački Jelena, Sladojević Srdan, Arsenović Marko, Ristić Sonja

“…Therefore, developing effective intrusion detection system (IDS) is one of the key challenges in IoT network security. …”
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AMDA 2.13: A major update for automated cross-platform microarray data analysis by Dimos Kapetis, Ferdinando Clarelli, Federico Vitulli, Nicole Kerlero de Rosbo, Ottavio Beretta, Maria Foti, Paola Ricciardi-Castagnoli, Francesca Zolezzi

“…We previously developed the Automated Microarray Data Analysis (AMDA, version 2.3.5) pipeline to process Affymetrix 3′ IVT GeneChips. …”
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Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis by Cosmina-Mihaela Rosca, Adrian Stancu

“…The study proposes that abrupt weather parameter value fluctuations may influence the occurrence of shallow seismic events by focusing on developing an innovative concept that combines historical meteorological and seismic data collection to predict potential earthquakes. …”
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Open research data in human movement analysis: Swiss-initiated-guidelines for broader scientific communities by Michelle C. Haas, Bettina B. Sommer, Felix Moerman, Simon van Rekum, Eveline S. Graf

“…Sharing of data and code leverages transparency and reproducibility of data collection and analysis. …”
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A Malmquist fuzzy data envelopment analysis model for performance evaluation of rural healthcare systems by Vishal Chaubey, Deena Sunil Sharanappa, Kshitish Kumar Mohanta, Rajkumar Verma

“…The suggested ranking technique is used to construct the fuzzy data envelopment analysis (FDEA), Malmquist fuzzy DEA (Mal-FDEA), and undesirable Malmquist fuzzy DEA (UN-Mal-FDEA ) models. …”
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Calculating Super Efficiency of DMUs for Ranking Units in Data Envelopment Analysis Based on SBM Model by E. Zanboori, M. Rostamy-Malkhalifeh, G. R. Jahanshahloo, N. Shoja

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A functional data analysis approach for modelling frequency‐modulated tonal sounds in animal communication by Maria Silvia Labriola, Petra Oswine Pammer, Giulia Pedrazzi, Giancarlo Giacomini, Giovanna Jona Lasinio, Daniela Silvia Pace

“…We propose the application of a functional data analysis (FDA) approach to model extracted FM patterns, which entails the transformation of acoustic signals into continuous functions. …”
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City2Twin: an open urban digital twin from data integration to visualization and analysis by B. P. Rafamatanantsoa, I. Jeddoub, A. Yarroudh, R. Hajji, R. Billen

“…Furthermore, most implementations are based on specific needs. This project develops a comprehensive framework for Urban Digital Twins, focusing on data integration, storage, visualization, and analysis, all using open-source tools. …”
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Analysis of kidney patients and pump failure data using a new unit interval distribution by Tariq S. Alshammari, Khudhayr A. Rashedi

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Comparative Analysis of Satellite-Based Rainfall Products for Drought Assessment in a Data-Poor Region by Hansini Gayanthika, Dimuthu Lakshitha, Manthika Chathuranga, Gouri De Silva, Jeewanthi Sirisena

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ANALYSIS OF INSECTICIDE SUSCEPTIBILITY DATA FOR DENGUE VECTORS USING INSECTICIDE RESISTANCE MANAGEMENT SYSTEM (IRMS) by Rosilawati R, Cheong YL, Mohd Khairuddin CI

“…Laboratory testing generates data, and data analysis contributes to the production of results that aid in problem resolution. …”
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An Empirical Analysis of Crash Injury Severity Among Young Drivers in England: Accounting for Data Imbalance by Amirhossein Taheri, Kevin Switala, Grigorios Fountas, Abbas Sheykhfard, Nima Dadashzadeh, Steffen Müller

“…Crash data analysis is key to improving road safety, but imbalanced data challenges accurate predictions for severe crashes, often leading to biased outcomes. …”
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Scenario Grouping and Classification Methodology for Postprocessing of Data Generated by Integrated Deterministic-Probabilistic Safety Analysis by Sergey Galushin, Pavel Kudinov

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