A new algorithm by embedding structured data for low-rank tensor ring completion by Ruiping Wen, Tingyan Liu, Yalei Pei

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A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

“…This study posits that a structured preprocessing and feature selection methodology might substantially improve the classification accuracy and generalizability of machine learning (ML) models in predicting stages of hepatitis C virus (HCV) using clinical and demographic data. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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A structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes by R.J. van Kalsbeek, L.H. Grundeken, R.L. Mulder, M.M. Hudson, M.J. Ehrhardt, J.G. den Hartogh, R.J. Riezebos, H. van Tinteren, W.J.W. Kollen, M.A. Grootenhuis, R. Pieters, L.C.M. Kremer, M. van der Heiden-van der Loo, F.K. Aarsen, M.J.R.J. Bouts, M.P. Dierselhuis, E.A.M. Feijen, N.E. Franke, B.F. Goemans, V. de Haas, E.W. Hoving, K.M.J. Heitink-Polle, E. Kilsdonk, C.A. Lindemans, L. Meijer, H. Merks, F.A.G. Meyer-Wentrup, A.M.C. Mavinkurve-Groothuis, D.W.G.D. Oomen, M. Partanen, S.L.A. Plasschaert, A.Y.N. Schouten-Meeteren, J.C. Teepen, C. van den Bos, M.M. van den Heuvel-Eibrink, M. van Grotel, R.R.L van Litsenburg, M.M. van Noesel, H.M. van Santen, M.J. Vincent, H.J. Vormoor, D. van Vuurden, M.H.W.A. Wijnen, J. Zsiros

“…Conclusion: Developing a structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes is an extensive process involving multiple steps. …”
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Guided Regularizers for Structured Reduction of Neural Networks by Ali Haisam Muhammad Rafid, Adrian Sandu

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Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

“…We analyze diagnoses provided in unstructured free text that do not follow a standardized structure. …”
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A structured approach to developing an introductory statistics course for graduate students: Using data to teach about data by Lisa Eunyoung Lee, Sobiga Vyravanathan, Tony Panzarella, Caitlin Gillan, Nicole Harnett

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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…In this research, proposed Jaya Average Subtraction Based Optimization (JASBO), which is enabled by Deep Learning (DL) is used to classify infectious diseases into many categories from unstructured data. Moreover, the DL model used is Infectious Disease Network (ID-Net) which combines Convolutional Neural Network (CNN) and Bidirectional-Long Short-Term Memory (Bi-LSTM). …”
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End-to-end data extraction framework from unstructured geotechnical investigation reports via integrated deep learning and text mining techniques by Jimin Park, Wanhyuk Seo, Tae Sup Yun

“…Based on the layout, systematic rule-based data extraction generates structured databases, which enhances data flexibility and further applications in practice. …”
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A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing by Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat, Syed Ahmad Chan Bukhari

Subjects: “…structured data…”
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Enhancing Anomaly Detection in Structured Data Using Siamese Neural Networks as a Feature Extractor by Elizabeth P. Chou, Bo-Cheng Hsieh

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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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MATERIALS AND MODERN STRUCTURAL SOLUTIONS FOR BUILDING STRUCTURES by L. V. Morgun, A. Yu. Bogatina, V. N. Morgun

“…An analysis of the effectiveness of heat-insulating and structural fibre-reinforced concrete in terms of their mechanical and physical properties, including frost resistance, is carried out.Results. …”
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Analysis of data with spatial structure in wireless communication systems by TIAN Nai-shuo1, LIU Ming-xing2, MA Zhan-you1

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Developing data structuring modules for the content management system by M. V. Sterjanov, I. V. Baidackov

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Inference of population structure using dense haplotype data. by Daniel John Lawson, Garrett Hellenthal, Simon Myers, Daniel Falush

“…In parallel, we have developed an efficient model-based approach to identify discrete populations using this matrix, which offers advantages over PCA in terms of interpretability and over existing clustering algorithms in terms of speed, number of separable populations, and sensitivity to subtle population structure. We analyse Human Genome Diversity Panel data for 938 individuals and 641,000 markers, and we identify 226 populations reflecting differences on continental, regional, local, and family scales. …”
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How to structure data from an IoT monitoring network by Ziwen Yu

“…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
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NEW DATA ON THE STRUCTURE OF THE OFFSHORE MARGIN OF THE NORTHERN SAKHALIN by Vladimir L. Lomtev, Anna V. Litvinova

“…This publication presents new data obtained with CDP, gravimetry and magnetometry methods, showing the structure of the offshore margin of the Northern Sakhalin further from the Okhinsky bridge and the Schmidt peninsula, and results of geological interpretation of these data. …”
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Human interaction with structure in designing big data architecture by Wandisa Nyikana, Tiko Iyamu

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How to structure data from an IoT monitoring network by Ziwen Yu

“…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
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