Integrating InSAR Data and LE-Transformer for Foundation Pit Deformation Prediction by Bo Hu, Wen Li, Weifeng Lu, Feilong Zhao, Yuebin Li, Rijun Li

“…This study proposes a novel approach integrating time-series InSAR data with a multivariate LE-Transformer model for deformation prediction. …”
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The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression by Heny Pratiwi, Muhammad Ibnu Sa’ad, Wahyuni Wahyuni, Syamsuddin Mallala

“…The regression model demonstrated strong explanatory power and minimal error, with an R-squared value of 0.738, indicating that 73.8% of the data variability was explained by the model. …”
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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

“…To address the high-dimensional and small sample size characteristics of the data, the principal component analysis algorithm (PCA) was used for dimensionality reduction, followed by outlier removal using the Mahalanobis distance measure method (MD). …”
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A Multimodal Data-Driven Framework for Enhanced Wheat Carbon Flux Monitoring by Xiaohua Chen, Ying Du, Dong Han

“…This study constructs a multimodal model framework to estimate wheat carbon flux using MODIS data products, including the Leaf Area Index (LAI), the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and meteorological data products. …”
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High-content screening (HCS) workflows for FAIR image data management with OMERO by Riccardo Massei, Wibke Busch, Beatriz Serrano-Solano, Matthias Bernt, Stefan Scholz, Elena K. Nicolay, Hannes Bohring, Jan Bumberger

“…We illustrate how applying WMS to HCS data management enables us to consistently transfer images across different locations in a structured and reproducible manner, reducing the risk of errors and increasing data consistency and reproducibility. …”
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Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

“…The model trained exclusively on synthetic data (TSTR) outperformed the model trained on real data (TRTR), with error reductions (RMSE decreased by 56.3%, MAE by 58.2%, and MSE by 80.9%) and improved variance explanation (R2 increase of 31.2%). …”
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CRAFTS for H i Cosmology. I. Data Processing Pipeline and Validation Tests by Wenxiu Yang, Laura Wolz, Yichao Li, Wenkai Hu, Steven Cunnington, Keith Grainge, Furen Deng, Shifan Zuo, Shuanghao Shu, Xinyang Zhao, Di Li, Zheng Zheng, Marko Krčo, Yinghui Zheng, Linjing Feng, Pei Zuo, Hao Chen, Xue-Jian Jiang, Chen Wang, Pei Wang, Chen-Chen Miao, Yougang Wang, Xuelei Chen

“…We examine the pointing errors, noise overflow, radio-frequency interference (RFI) contamination, and their effect on the data quality. …”
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About the certification of railway rails by A. De Iorio, M. Grasso, F. Penta, G.P. Pucillo

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An energy-efficient and adaptive data collection scheme for multisensory wireless sensor networks by Juan Feng, Hongwei Zhao

“…Moreover, a data correlation analysis method based on gray correlation analysis is proposed to measure the similarity of the sensing data. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…At the first stage, the data were freed from outliers and errors, then normalized to unify the scale of different variables. …”
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The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment by Sabina Sultana, Manvender Kaur Sarjit Singh, Rabiul Islam, Hafizah Hajimia

“…Corpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students. …”
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Open Data to Promote the Economic and Commercial Development of the Housing Sector: The Case of Spain by Ricardo Curto-Rodríguez, Rafael Marcos-Sánchez, Alicia Zaragoza-Benzal, Daniel Ferrández

“…The methodology employed was a population analysis of datasets labeled as housing, followed by a necessary data cleansing process due to the identification of various errors, which reduced the number of labeled datasets from 1000 to 599. …”
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ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA by Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani

“…Imbalanced data is a commonly encountered issue in classification analysis. …”
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fossilbrush: An R package for automated detection and resolution of anomalies in palaeontological occurrence data by Joseph T. Flannery‐Sutherland, Nussaïbah B. Raja, Ádám T. Kocsis, Wolfgang Kiessling

“…Abstract Fossil occurrence databases are indispensable resources to the palaeontological community, yet present unique data cleaning challenges. Many studies devote significant attention to cleaning fossil occurrence data prior to analysis, but such efforts are typically bespoke and difficult to reproduce. …”
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Spatially Resolved Kinematics of SLACS Lens Galaxies. I. Data and Kinematic Classification by Shawn Knabel, Tommaso Treu, Michele Cappellari, Anowar J. Shajib, Chih-Fan Chen, Simon Birrer, Vardha N. Bennert

“…We conclude that the velocity dispersions extracted from SDSS spectra for these 14 SLACS galaxies, which have low S/N (∼9 Å ^–1 ) relative to the SLACS candidate parent sample, are subject to systematic errors (and covariance) due to stellar template library selection at the level of 3% (2%), which need to be added to the random errors. …”
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Accounting for population structure and data quality in demographic inference with linkage disequilibrium methods by Enrique Santiago, Carlos Köpke, Armando Caballero

“…GONE2 can also handle haploid data, genotyping errors, and low sequencing depth data. …”
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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 3. Recognition by O. M. Polyakov

“…In conclusion, the law of creative thinking is formulated, which follows from a linguistic data model.…”
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An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy by Yufeng Lu, Chenglou Liu, Haichao Hong, Yunwei Huang, Tingwei Ji, Fangfang Xie

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Validation of Tropospheric Ozone from Satellite and Reanalysis Data Based on Ozonesondes Observations by Jingyi YANG, Wenshou TIAN, Jiali LUO, Jiakang DUAN, Xin HE

“…Tropospheric ozone is an important air pollutant and greenhouse gas.It is harmful to human health and seriously harm the ecological environment.In this study， we use ozonesondes data from WOUDC （World Ozone and Ultraviolet Radiation Data Centre） during 2007 -2018 to evaluate tropospheric ozone column products from GOME-2A （Global Ozone Monitoring Experiment 2 aboard METOP-A） and Ozone Monitoring Instrument （OMI） satellite， as well as tropospheric ozone products from Updated Tropospheric Chemistry Reanalysis （TCR-2）.The results of the analysis show that in the equatorial American， subtropical， western European and Canadian regions， the correlation coefficients between GOME-2A and ozonesondes observations are up to 0.56， and the absolute values of the relative percentage deviations do not exceed 15%； in the eastern US.and western European regions， the correlation coefficients between OMI and ozonesondes observations are 0.65~0.72， and the standardized root-mean-square errors are 0.47~0.56； for the whole Northern Hemisphere region， the correlation coefficients between the TCR-2 tropospheric ozone column content and ozonesondes observations are 0.41~0.95， with standardized root-mean-square errors （RMSEs） of 0.18~0.48， which are better than the other two satellite data.Furthermore， the results indicate that the TCR-2 tropospheric ozone column trend is consistent with the trend direction of the ozonesondes observations.Through a more robust data assessment， it is evident that tropospheric ozone columns have increased in the equatorial Americas， Western Europe and China.Conversely， there has been a decrease in tropospheric ozone columns in the Arctic， Canada and the eastern United States.…”
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Empowering MSMEs with Data-Driven Insights: Mobile Sales Dashboard Application for MSMEs by Zalina Fatima Azzahra, Riska Yanu Fa'rifah, Syfa Nur Lathifah

“… Micro, Small, and Medium Enterprises (MSMEs) in Indonesia have made a large contribution to GDP and the workforce but still face challenges in managing sales data and making data-driven decisions. Manual recording often causes operational inefficiencies, recording errors, and delays in business analysis. …”
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