Improved Asynchronous Federated Learning for Data Injection Pollution by Aiyou Li, Huoyou Li, Yanfang Liu, Guoli Ji

“…In view of the problems of data pollution, incomplete feature extraction, and poor multi-network parameter sharing and transmission under the federated learning framework of deep learning, this article proposes an improved asynchronous federated learning algorithm of multi-model fusion based on data injection pollution. …”
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Application of MMS Data to Road Bridge Maintenance Management by T. Misaki, K. Ogawa, S. Nishiyama, M. Yamamoto, K. Kimoto

“…The utilization of 3D data in maintenance management is also discussed.…”
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A Survey on Data Selection for Efficient Speech Processing by Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza

“…This survey provides a comprehensive overview and introduces a unifying taxonomy for data selection methods in speech processing, structured along three key dimensions: selection granularity (sample-level vs. segment-level), selection process (static, dynamic, or active learning), and selection criteria (uncertainty, diversity, or hybrid approaches). …”
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Extraction of Multilayered Social Networks from Activity Data by Katarzyna Musial, Piotr Bródka, Przemysław Kazienko, Jarosław Gaworecki

“…The data gathered in all kinds of web-based systems, which enable users to interact with each other, provides an opportunity to extract social networks that consist of people and relationships between them. …”
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Data Reduction Method for Synthetic Transmit Aperture Algorithm by Piotr KARWAT, Ziemowit KLIMONDA, Michał SĘKLEWSKI, Marcin LEWANDOWSKI, Andrzej NOWICKI

“…Ultrasonic methods of human body internal structures imaging are being continuously enhanced. …”
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Exploiting Data Distribution: A Multi-Ranking Approach by Beata Zielosko, Kamil Jabloński, Anton Dmytrenko

“…It means that data comes from different sources, may be dispersed in terms of location, and may be stored in different structures and formats. …”
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Evaluability Assessment: Clarifying Organizational Support and Data Availability by Joseph Hare, Timothy Guetterman

“…The researchers conducted semi-structured interviews and analyzed the data using thematic analysis. …”
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Maturity Model for Organizational Research Data Management Services by Yasuyuki Minamiyama, Ui Ikeuchi, Kosuke Tanabe, Kenji Yuki, Kazuhiro Hayashi, Takaaki Aoki

“…By analyzing existing RDM service maturity models, we extract six key dimensions —awareness, data policy, budget, services, user needs, and IT infrastructure—and develop a structured evaluation framework with a five-level rating system. …”
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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a process in which groupings within the data are identified, is a valuable technique to extract and identify underlying structures of the data. …”
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Biomedical Data Annotation: An OCT Imaging Case Study by Matthew Anderson, Salman Sadiq, Muzammil Nahaboo Solim, Hannah Barker, David H. Steel, Maged Habib, Boguslaw Obara

“…In ophthalmology, optical coherence tomography (OCT) is a widely used imaging modality, allowing visualisation of the structures of the eye with objective and quantitative cross-sectional three-dimensional (3D) volumetric scans. …”
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Using Airtable to download and parse Digital Humanities Data by William K. Dewey

“…After processing the data into CSV format, this article touches on how CDRH API fields are populated from plain values and more complicated structures including Markdown-style links. …”
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Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

“…We evaluate the method on twenty benchmark tabular imbalanced datasets, spanning diverse sample sizes and imbalance ratios, and demonstrate its superiority over several state-of-the-art data-level and algorithmic-level methods. Furthermore, simulated datasets with visually interpretable structures showcase the model’s generalization capacity. …”
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Data backup methods for mission-critical information systems by S. V. Shaytura, P. N. Pitkevich

“…The issue of increasing data safety is relevant. One of the ways to improve the safety of data is backing them up. …”
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Linking Digital Footprint Data into Longitudinal Population Studies by Romana Burgess, Andy Boyd, Oliver Davis, Louise AC Millard, Mark Mumme, Sarah Robertson, Andy Skinner, Zhuoni Xiao, Anya Skatova

“…Methods We propose a structured, four-stage framework to facilitate successful linkage of digital footprint data into LPS: (1) understand participant expectations and acceptability; (2) collect and link the data; (3) evaluate properties of the data; and (4) ensure secure and ethical access for research. …”
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Digital Footprint as a Source of Big Data in Education by T. M. Shamsutdinova

“…The purpose of this study is to consider the prospects and problems of using big data in education.Materials and methods. The research methods include analysis, systematization and structuring of information in the field of big data application in education, as well as modeling and software implementation of a test model for processing big data by using the Apache Spark framework.Results. …”
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Corticosteroid treatment prediction using chest X-ray and clinical data by Anzhelika Mezina, Samuel Genzor, Radim Burget, Vojtech Myska, Jan Mizera, Aleksandr Ometov

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scFocus: Detecting branching probabilities in single-cell data with SAC by Chunlin Chen, Zeyu Fu, Jiajia Yang, Huaqing Chen, Jiabao Huang, Shitian Qin, Chuhuai Wang, Xiaoqian Hu

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The Institutional Evolution of Chinese University Data Governance: An Analytical Framework Based on Historical Institutionalism by Duanhong Zhang, Bowen Song, Hongwei Geng, Yiming Chen, Hong Liu

“…This framework provides a structured approach to analyzing the role of institutional factors, power dynamics, and path dependence in shaping university data governance. …”
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MODEL OF SEMANTIC INTEGRATION OF INFORMATION SYSTEMS PROPERTIES IN RELAY DATABASE REENGINEERING PROBLEMS by Oleg Avrunin, Oleksiy Vlasov, Valentin Filatov

“…The purpose of the research is the development of a subject area model based on the semantic properties and relationships of data elements; development of effective technology of integration of information resources of heterogeneous computer systems on the basis of technology of management of database systems; research and formalization of classes of inhomogeneity of data structures aimed at solving the problem of determining the types of information objects. …”
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Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities by Cason D Schmit, Meghan Curry O’Connell, Sarah Shewbrooks, Charles Abourezk, Fallon J Cochlin, Megan Doerr, Hye-Chung Kum

“…These practices represent a source of structuralized violence throughout the US public health system that contributes to the data genocide of American Indian and Alaska Native populations. …”
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