PixelQuery: Efficient Distance Range Join Query Technique for Visualization Analysis by Bo Pang, Zebang Liu, Wei Xiong, Mengyu Ma

“…This technology provides a robust solution for rapid DRJQ processing and the visualization of large-scale vector data, offering promising potential for a diverse range of applications.…”
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Prostate cancer incidence and mortality among immigrants in Finland between 2000 and 2017 – a register-based cohort study by Katja M. Mustonen, Maarit H. Lamminmäki, Tytti M. Sarkeala, Sirpa H. Heinävaara

“…Patients/material and methods: We utilized individual-level data on all immigrant men who had lived in Finland for over a year between 1973 and 2017 and aggregate data on Finnish-born men to determine immigrants’ incidence of and mortality from prostate cancer in relation to the men born in Finland. …”
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Assessment and Prediction of Hydrometeorological Drought in Corong River Basin, Indonesia by Nur Azizah Affandy*, Data Iranata, Nadjadji Anwar, Mahendra Andiek Maulana, Dedy Dwi Prastyo, Zulkifli Yusop, Wasis Wardoyo

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Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses by Miruna-Ioana Belciu, Alin Velea

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Comparing Morphometric and Mitochondrial DNA Data from Honeybees and Honey Samples for Identifying <i>Apis mellifera ligustica</i> Subspecies at the Colony Level by Valeria Taurisano, Anisa Ribani, Valerio Joe Utzeri, Dalal Sami, Kate Elise Nelson Johnson, Giovanni Formato, Marcella Milito, Giuseppina Schiavo, Samuele Bovo, Francesca Bertolini, Luca Fontanesi

“…This was accomplished by combining (1) standard morphometric characteristics of the honeybees with mitochondrial DNA (mtDNA) sequence data obtained from both the (2) honeybees and (3) honey present in a honeycomb sampled from the same colony. …”
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User Spatial Content in Social Research: Approaches, Opportunities, and Challenges by Ciro Clemente De Falco

“…Alternatives such as data donation, dedicated applications, and geoparsing can maintain the viability of USC-driven analyses. …”
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Zero Trust Cybersecurity: Procedures and Considerations in Context by Brady D. Lund, Tae-Hee Lee, Ziang Wang, Ting Wang, Nishith Reddy Mannuru

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Enhancement of Harbin ice and snow tourism destination competitiveness: A large-scale data study based on sentiment analysis and Latent Dirichlet Allocation. by Bin Jiang, Chunxiang Zhang, Yingyin Cui, JiuLian Zhu, Zhennan Liu

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A Comprehensive Review of Multiple Physical and Data-Driven Model Fusion Methods for Accurate Lithium-Ion Battery Inner State Factor Estimation by Junjie Tao, Shunli Wang, Wen Cao, Carlos Fernandez, Frede Blaabjerg

“…This paper reviews the fusion application between physics-based and data-driven models in lithium-ion battery management, critically analyzes the advantages, limitations, and applicability of fusion models, and evaluates their effectiveness in improving state estimation accuracy and robustness. …”
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Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey by Hui Li, Ya Zhang, Chong Zhang

“…Objective To develop and validate machine learning models to predict osteoporosis risk in chronic kidney disease (CKD) patients. Methods Data from the National Health and Nutrition Examination Survey (2005–2010, 2013–2014, 2017–2018) included 50,463 participants. …”
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Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Regi... by Lucia Rita Pacifico, Annalise Guarino, Antonio Iannone, Stefano Albanese

“…This study investigates the application of Compositional Data Analysis (CoDA) and multivariate statistical techniques to geochemical data from the soils of the Campania region. …”
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Recovering 3D Basin Basement Relief Using High-Precision Magnetic Data Through Particle Swarm Optimization and Back Propagation Algorithm by Shen Yan, Xinjun Zhang, Zhongda Shang, Kai Wang, Yixin Ma

“…The proposed machine learning-based method is more intelligent, efficient, and accurately reflects the undulations of magnetic-based interfaces. Application to magnetic survey data in the Datong Basin resulted in a reliable basin-based model that matched known structural information, thereby opening a new direction for magnetic interface inversion research.…”
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Deconvolution of continuous paleomagnetic data from pass‐through magnetometer: A new algorithm to restore geomagnetic and environmental information based on realistic optimization... by Hirokuni Oda, Chuang Xuan

“…The new algorithm was tested using synthetic data constructed by convolving “true” paleomagnetic signal containing an “excursion” with the sensor response. …”
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A Systematic Literature Review of Machine Unlearning Techniques in Neural Networks by Ivanna Daniela Cevallos, Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay, Jonathan A. Zea, Lorena Isabel Barona-López

“…By categorizing and detailing these unlearning techniques, this work offers deeper insights into their evolution, effectiveness, efficiency, and broader applicability, thus providing a solid foundation for future research, development, and practical implementations in the realm of data privacy, model management, and compliance with evolving legal standards. …”
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On the starting and operational transients at the core of the RMB based on 2D multigroup diffusion: by Rubens Souza Santos

“…Use was made of a programming in VBA (Visual Basic for Applications) from Excel, for data visualization in the transient.…”
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Lifelong training program on QGIS tools for earth observation sciences in south-east Europe by Bashkim IDRIZI, Lyubka PASHOVA, Pal NIKOLLI

“… Earth Observation (EO) data are an indispensable source of useful geospatial information, which can be efficiently combined with other data within the latest released open-source QGIS software. …”
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Classifying High School Scholarship Recipients Using the K-Nearest Neighbor Algorithm by Ica Dwi Yulisa, Gusmelia Testiana, Imamulhakim Syahid Putra

“…The predetermined criteria combined with the limited quota available become a difficulty in itself as a large number of applications are coming in. Data mining with a classification method using the K-Nearest Neighbor algorithm is believed to be one of the alternative solutions to solve this problem. …”
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Crowding-Out Effect: Evidence from OECD Countries by Mehmet Emre Ünsal

“…This study aims to investigate whether or not the crowding-out effect is applicable in OECD countries. For this purpose, Panel Data Analysis was performed for the period 1995-2017. …”
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A literature survey of shapelet quality measures for time series classification by Teng Li, Xiaodong Guo, Cun Ji

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Analysis of Opportunities for Agricultural Area Surveillance by UAV and Satellite in Precision Agriculture by Atanasov Asparuh I., Atanasov Atanas Z.

“…The presented paper focuses on comparing the capabilities for monitoring agricultural areas sown with winter wheat using satellite data and data obtained from UAVs. The NDVI vegetation index derived from both methodologies has been compared. …”
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