Nonparametric Expectile Shortfall Regression for Complex Functional Structure by Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci

“…The asymptotic property of the constructed estimator is established using a functional time-series structure. We adopt some concentration inequalities to fit this complex structure and to precisely determine the convergence rate of the estimator. …”
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Recent advances in structural health diagnosis: a machine learning perspective by Yuequan Bao, Huabin Sun, Yang Xu, Xiaoshu Guan, Qiuyue Pan, Dawei Liu

Subjects: “…Structural health diagnosis…”
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Structure and nodal points of Smart City infrastructure by Magdalena Grochulska-Salak, Tomasz Wężyk

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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

“…PBSHM does this by using data across an entire population, in order to improve diagnostics for a single data-poor structure. …”
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An Improved Man-Made Structure Detection Method for Multi-aspect Polarimetric SAR Data by Fabin Dong, Qiang Yin, Wen Hong

“…The comprehensive multiaspect scattering characteristics are valuable for man-made structure detection and classification. Typically, the anisotropic scattering of targets could be characterized by the differences in the statistical properties of polarimetric data across aspects. …”
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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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The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data by Zheng Xingming, Zhao Kai, Li Yangyang, Ren Jianhua, Ding Yanling

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STUDY OF THE PECULIARITIES OF THE STRUCTURE OF THE NASOLACRIMAL DUCT ORIFICE ACCORDING TO THE DATA OF MULTISLICE COMPUTED TOMOGRAPHY by E. L. At’kova, V. D. Yartsev, N. N. Krakhovetskiy, L. V. Reznikova, A. O. Root

“…To develop a method for investigating the perculiarities of the structure of the nasolacrimal duct orifice according to the data of multislice computed tomography (MSCT).Material and methods. …”
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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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Improve The Capacity Of Data Transmission In Orbital Angular Momentum Multiplexing By Adjusting Link Structure by Lin Zhao, Ting Jiang, Min Mao, Yangjie Zhang, Hongzhan Liu, Zhongchao Wei, Dongmei Deng, Aiping Luo

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Information Structure Representation And Extraction From A Corpus Of Patient Data, Using An Ontology by Christian Cote

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Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making by Gaftandzhieva Silvia N., Doneva Rositsa Zh., Bliznakov Milen P.

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Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

“…The co-occurrence technique of words is used to illustrate the structure of knowledge in new scientific fields. In the current study, which is development in terms of purpose and descriptive-analytical in terms of method; It is taken from the co-occurrence analysis of words for further analysis and understanding of the field of urban data mining. …”
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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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Hot Structure Flight Data of a Faceted Atmospheric Reentry Thermal Protection System by Hannah Boehrk, Hendrik Weihs, Henning Elsäßer

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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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STUDY OF GULLY EROSION OF KAND STRUCTURE NW OF IRAQ BY USING REMOTE SENSING DATA by Mohammed Younis Salim Al-Allaf

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Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

“…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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Application Possibilities of Orthophoto Data Based on Spectral Fractal Structure Containing Boundary Conditions by József Berke

“…In the case of complex image data structures defined in different metric spaces, their measurement in metric space encounters many difficulties. …”
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Framework for investigating structure cracking using real engineering data combined with physics constraints by Han Si, Qidi Wang, Xin Ruan, Xingpo Fang

“…Traditional analysis methods based on simplified physical mechanisms cannot accurately characterize the structural condition and neglect the value of the large amount of data generated during the construction process. …”
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