When Two are Better Than One: Synthesizing Heavily Unbalanced Data by Francisco Ferreira, Nuno Lourenco, Bruno Cabral, Joao Paulo Fernandes

“…Fraud Detection systems are examples of such systems where Machine Learning algorithms leverage information to classify financial transactions as legitimate or illicit. The data used to create these solutions is usually highly structured and contains categorical and continuous features characterised by complex distributions. …”
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High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection by Nataliya Shakhovska, Bohdan Sydor, Solomiia Liaskovska, Olga Duran, Yevgen Martyn, Volodymyr Vira

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Enabling Biodiversity-Informed Architecture Through Ontology-Driven Data Integration by Albin Ahmeti, Defne Sunguroglu Hensel, Cédric Pruski, Jakub Tyc, Michael Hensel

“…The proposed ontology, developed in collaboration with domain experts and adhering to Semantic Web and Linked Data best practices, serves as a mediator between life sciences data (e.g., species distribution and habitats) and geometric information (e.g., maps and voxel models of building structures). …”
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Deep Time Series Intelligent Framework for Power Data Asset Evaluation by Lihong Ge, Xin Li, Li Wang, Jian Wei, Bo Huang

“…Power data asset evaluation occupies the core position in the digitization of the power industry. …”
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Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations by Sheng Chen, Mingxin Li, Yankun Liu, Xu Bai

“…The model is enhanced by incorporating both numerical simulation data and real-world measurement data from the launching operation. …”
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Road Traffic Accident Data Standardization System Based on Field Map by Wangfang Yuan, Hanjie Lu, Jiatao Zhang

“…Based on this, firstly, this article establishes a conversion model for the position information and angle information of the left front wheel of the vehicle before and after the accident based on the interaction between the input data of the Crashview system and the on-site map data information. …”
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Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques by Gaurish Thakkar, Nives Mikelić Preradović, Marko Tadić

“…Theoretically, our results indicate that future research should concentrate on the development of augmentation strategies that introduce novel syntactic structures rather than solely relying on lexical variations, as current models may not effectively leverage synonymic or lemmatised data. …”
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Data-driven modeling and regression analysis on ship resistance of in-service performance by Daehyuk Kim, Shin Hyung Rhee

“…This study employs operational data to model ship resistance, aiming to bridge the gap between controlled experiments and real-world conditions. …”
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Study of the dynamics of herbs productivity based on long-term monitoring data by D. A. Ivanov, O. V. Karaseva, M. V. Rublyuk

“…The paper shows methods for studying the data bank for monitoring the yield of grasses within the agrolandscape. …”
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TRENDS IN THE DEVELOPMENT OF OPEN GOVERNMENT DATA IN EUROPEAN COUNTRIES IN 2022-2024 by Kseniia Mohylna, Vitaliia Koibichuk, Bhola Khan

“…At the same time, there is a trend toward narrowing the gap between countries in terms of political governance of open data. The study concludes that structural inequalities persist among European countries in the development of open data policies, while common vectors of digital transformation are being confirmed. …”
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A systematic review of data privacy in Mobility as a Service (MaaS) by Zineb Garroussi, Antoine Legrain, Sébastien Gambs, Vincent Gautrais, Brunilde Sansò

“…Using the PRISMA framework, a comprehensive literature search across Web of Science, Elsevier, and IEEE Xplore databases resulted in the selection of 32 studies for detailed analysis.The review is structured around three main themes: (1) Privacy-Preserving Techniques, including anonymization strategies (k-anonymity, differential privacy, obfuscation), encryption methods (blockchain, cryptographic protocols), federated learning for decentralized data processing, and advanced algorithms for optimizing privacy budgets and balancing utility-privacy trade-offs; (2) User Trust and Privacy Perceptions, highlighting that trust in service providers is essential for MaaS adoption, privacy concerns may impact adoption but do not necessarily prevent it (the “privacy paradox”), and awareness of data misuse affects user trust and willingness to adopt MaaS; and (3) Regulatory Frameworks, focusing on the importance of GDPR compliance to ensure strict data protection through consent and transparency, and embedding privacy-by-design principles within MaaS architectures to safeguard user data from the outset.This review emphasizes the need for a holistic approach, integrating technological innovation, user-centered design, and strong regulatory oversight to effectively address privacy challenges in MaaS. …”
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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

“…An effective way to further improve churn prediction capability of different ML algorithms is through the employment of topological data analysis (TDA). TDA is a framework that applies topological methods to uncover the underlying hidden structural features in complex, high-dimensional data. …”
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Research on Landscape Perception of Urban Parks Based on User-Generated Data by Wei Ren, Kaiyuan Zhan, Zhu Chen, Xin-Chen Hong

“…User-generated data can reflect various viewpoints and experiences derived from people’s perception outcomes. …”
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Evaluation and application analysis of animal models of PIPNP based on data mining by Yu Jun, Jin Shengbo, Piao Haozhe, Li Mingzhu

“…Current PIPNP models predominantly utilize 6- to 8-week-old male Sprague-Dawley (SD) rats, with paclitaxel administered at 2 mg/kg on either days 0, 2, 4, and 6 or days 1, 3, 5, and 7. Based on data mining and comparative evaluation of modeling approaches, the use of 6- to 8-week-old male SD rats or 8- to 10-week-old male C57BL/6J mice with paclitaxel administered at 2 mg/kg on days 1, 3, 5, and 7 is recommended for establishing PIPNP models. …”
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Environmental investigation using geophysical data at East Sadat City, Egypt by Sultan Awad Sultan Araffa, Shokry A. Soliman, Ahmed El Khafif, Abdellatif Younis, T.F. Shazley

“…The interpretation of GPR data indicate that the expected water table ranging from 8 m to 11 m in the study area. …”
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Facilitated Data Relay and Effects on Treatment of Severe Aortic Stenosis in Europe by Richard P. Steeds, Matthias Lutz, Jeetendra Thambyrajah, Antonio Serra, Eberhard Schulz, Jiri Maly, Marco Aiello, Tanja K. Rudolph, Guy Lloyd, Alessandro Santo Bortone, Karl Eugen Hauptmann, Alberto Clerici, Georg Delle‐Karth, Johannes Rieber, Ciro Indolfi, Massimo Mancone, Loic Belle, Alexander Lauten, Martin Arnold, Berto J. Bouma, Cornelia Deutsch, Jana Kurucova, Martin Thoenes, Peter Bramlage, Norbert Frey, David Messika‐Zeitoun

“…The objective was to investigate whether a structured communication to referring physicians (facilitated data relay) might improve the rate and timeliness of intervention. …”
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ColorPCA: Scalable Colored Dimensionality Reduction for Unlabeled High-Dimensional Data by Wenqiang Cui, Shehzad Afzal, Rafael M. Martins, Sohaib Ghani, Ibrahim Hoteit

“…However, automatic coloring of unlabeled high-dimensional data remains challenging for revealing unknown patterns or class structures in the data. …”
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Data management in balance – a decade of balancing pragmatism, sustainability and innovation at plant research center IPK Gatersleben by Schüler Danuta, Lange Matthias, Altmann Thomas, Cuacos Maria, Arend Daniel, D’Auria John Charles, Fiebig Anne, Kumlehn Jochen, Neumann Kerstin, Melzer Michael, Rey-Mazón Elena, Rolletschek Hardy, Scholz Uwe, Willner Evelin, Reif Jochen C.

“…Under the leadership of a team of data stewards, a research data infrastructure, process landscape, capacity building, and governance structures were successfully established. …”
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Total and Structural Carotid Artery Stiffness Are Associated With Cognitive Decline and Structural Brain Abnormalities Related to Alzheimer Disease and Alzheimer Disease‐Related De... by Jeremy R. Williams, Theodore M. DeConne, Ryan Pewowaruk, Claudia Korcarz, Jordan Tanley, Cynthia Carlsson, Susan R. Heckbert, Mohamad Habes, Ilya Nasrallah, Samuel N. Lockhart, José A. Luchsinger, Jingzhong Ding, Kathleen M. Hayden, Timothy M. Hughes, Adam D. Gepner

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Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines by Kai Ding, Ruihong Li, Zeyu Li, Shangui Hu

“…Abstract Online platforms that enable employees to voluntarily share their opinions and experiences about current and former employers present a valuable data source for investigating worker satisfaction. …”
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