Deep Structure of the Middle Urals According to Magnetic and Gravitational Data by Byzov Denis, Martyshko Petr, Fedorova Natalia, Rublev Aleksey

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DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE by Sergey Sergeyevich Taranenko, Oleg Fedorovich Kovalev

“…The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. …”
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Crustal structure of the Ulaanbaatar region, Mongolia according to gravimetric data by B. Buyantogtokh, E. Kh. Turutanov, V. S. Kanaikin

“…It is confirmed that the basement of these depressionshas a block structure. The basement of the Tolskaya basinincludes two depressions, the western and eastern ones.In the western depression, the sediment thickness is 150 m. …”
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Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

“…For a CFD (computation fluid dynamics)/CSD (computational structural dynamics) coupling, appropriate data exchange strategy is required for the successful operation of the coupling computation, due to fundamental differences between CFD and CSD analyses. …”
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Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

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Segmentation study of nanoparticle topological structures based on synthetic data. by Fengfeng Liang, Yu Zhang, Chuntian Zhou, Heng Zhang, Guangjie Liu, Jinlong Zhu

“…In this study, a segmentation method of nanoparticle topological structure based on synthetic data (SD) is proposed, which aims to solve the issue of small data in the field of materials. …”
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On calculating structural similarity metrics in population-based structural health monitoring by Daniel S. Brennan, Timothy J. Rogers, Elizabeth J. Cross, Keith Worden

“…The newly introduced discipline of Population-Based Structural Health Monitoring (PBSHM) has been developed in order to circumvent the issue of data scarcity in “classical” SHM. …”
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On Bornological Structure by Anwar.N.I, Sh.K.Said Husain

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Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

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Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration by Ngoc-Son Pham, Sangwon Shin, Lei Xu, Weidong Shi, Taeweon Suh

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Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach by Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari

Subjects: “…structured data…”
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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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Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data. by Jessica Stepanous, Luke Munford, Pamela Qualter, Tobias Banaschewski, Frauke Nees, Rebecca Elliott, IMAGEN Consortium

“…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). …”
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Structural separation of data property rights based on data factor circulation value chain by Lihua HUANG, Wanli DU, Biyu WU

Subjects: “…data factor;data property rights;market logic;data factor circulation value chain;structural separation…”
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The Influence of Ownership Structure on the Financial Performance of Banks by Sigit Pamungkas, Muchtar Hidayat, Muhammad Syarif, Farah Margaretha Leon, Henny S. Lestari

Subjects: “…Ownership Structure, Financial Performance, Banking, Panel Data Regression, Indonesia Stock Exchange…”
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THE EFFECT OF GIVING ILL-STRUCTURED MATH PROBLEM AND WELL-STRUCTURED MATH PROBLEM ON THE SELF-EFFICACY OF JUNIOR HIGH SCHOOL STUDENTS by Indri Aninda Rahmasari, Susanah Susanah

“… This study aimed to determine the effect of giving ill-structured problems and well-structured problems to students' self-efficacy. …”
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Data structure and privacy protection analysis in big data environment based on blockchain technology by Yu Wang

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