Data-driven demand analysis and design reliability study of critical components of complex products. by Zhan Meng, Zhenggang Wang, Dapeng Gao, Wei Lu

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The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis. by Liying Zheng, Christopher D Harner, Xudong Zhang

“…Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. …”
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Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

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Comparative Analysis of KNN and Neavy Bayes Algorithms in Socio-Economic Data Classification in Indonesia by Kiki Buhori, Andrianingsih

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Designing of a Simulation Tool for the Performance Analysis of Hybrid Data Center Networks (DCNs) by Muhib Ahmad, Farrukh Zeeshan Khan, Zeshan Iqbal, Muneer Ahmad, Ihsan Ali, Sultan S. Alshamrani, Muhammad Talha, Muhammad Ahsan Raza

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On the Sino-Egyptian Geo-Relations in the Perspective of the Belt and Road——Based on Event Data Analysis by Mo Bi, Zhenke Zhang, Guoen Wei, Binglin Liu

“…This paper attempted to explore the evolution process and driving mechanism of Sino-Egyptian geo-relations during 2000–2021 based on event data analysis to explore the path of future development. …”
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MammOnc-DB, an integrative breast cancer data analysis platform for target discovery by Santhosh Kumar Karthikeyan, Darshan S. Chandrashekar, Snigdha Sahai, Sadeep Shrestha, Ritu Aneja, Rajesh Singh, Celina G. Kleer, Sidharth Kumar, Zhaohui S. Qin, Harikrishna Nakshatri, Upender Manne, Chad J. Creighton, Sooryanarayana Varambally

“…To address this, we developed a comprehensive BCa data analysis platform called MammOnc-DB ( http://resource.path.uab.edu/MammOnc-Home.html ), comprising data from more than 20,000 BCa samples. …”
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Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression by Sára Preiner, Bálint Levente Tarcsay, Dóra Pethő, Norbert Miskolczi

“…The model can thus be utilized as a soft sensor to infer extracted mass of EO components and characterize the composition of hydrosol during the process directly from UV–Vis spectra. • Investigation of lavender water and extract using UV–Vis spectrophotometry • GC–MS analysis of extracts • PLS model development for composition estimation based on spectra…”
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Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java by Hoger Khayrolla Omar, Alaa Khalil Jumaa

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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…During the current data era, data analysis across multiple disciplines has become a critical task for researchers to obtain meaningful insights and solve complex problems that are immeasurable using traditional technologies. …”
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Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

“…With the rapid development of big data technology, higher requirements have been put forward for the management mode of talent teams in e-government management. …”
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Data-driven analysis of climate impact on tomato and apple prices using machine learning by Sunghyun Yoon, Tae-Hwa Kim, Dong Sub Kim

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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The cross entropy loss and Matthews correlation coefficient confirm the reliability of this method for sentiment orientation recognition in multi-source data. The research explores the use of deep transfer learning in multi-source data fusion sentiment analysis, enriches and improves sentiment analysis techniques, and promotes innovation and development of sentiment analysis technology.…”
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Assessing Efficiency of the European Banking Sectors: an Application of the Network DEA by Emília Zimková, Ľubomír Pintér

“…The global financial crisis, sovereign debt crisis, Covid-19, and the invasion in Ukraine highlighted the need to optimise the production processes in banking sectors in Europe. Data Development Analysis (DEA) is a method used to evaluate the efficiency of production units and to benchmark them. …”
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Panel Data Model Analysis on the Relationship Between Export and Employment: The Case of OECD Countries by Hande Aksöz Yılmaz

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Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF by Dasheng Chen, Qi Song, Yinbin Zhang, Ling Li, Zhiming Yang

“…In comparison to 4G technology, 5G technology brings forth a host of new features, one of which is the network data analytics function (NWDAF). This function grants network operators the flexibility to either employ their own data analytics methodologies based on machine learning (ML) and deep learning (DL) into their networks. …”
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DSLE2 random-effects meta-analysis model for high-throughput methylation data by Nan Wang, Yang Zhou, Fengping Zhu, Shuilin Jin

“…Meta-analysis can quantitatively combine high-throughput sequencing data from the the same topic. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…Abstract The analysis of basketball strategies has traditionally relied on manual observation and limited data. …”
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Correlation Analysis between Residents’ Income Satisfaction and Mental Health Based on Big Data by Yile Wang, Hanbing Li, Brian Sheng-Xian Teo, Adam Amril Jaharadak

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Interval-based principal component analysis for reliable fault detection under data uncertainty by Raoudha Bel Hadj Ali, Anissa Ben Aicha, Belkhiria Kamel, Gilles Mourot, Majdi Mansouri

“…Principal Component Analysis (PCA) has gained widespread use in industrial process monitoring due to its ability to model high-dimensional data and detect abnormal events. …”
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