Tensor tree learns hidden relational structures in data to construct generative models by Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima

“…The proposed method offers enhanced performance and uncovers hidden relational structures in the target data. We illustrate potential practical applications with four examples: (i) random patterns, (ii) QMNIST handwritten digits, (iii) Bayesian networks, and (iv) the pattern of stock price fluctuation pattern in S&P500. …”
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Offline System for 2D Indoor Navigation Utilizing Advanced Data Structures by Jorge Luis Veloz, Leo Sebastián Intriago, Jean Carlos Palma, Andrea Katherine Alcívar-Cedeño, Álvaro Antón-Sacho, Pablo Fernández-Arias, Edwan Anderson Ariza, Diego Vergara

“…The system leverages advanced spatial modeling techniques to optimize pathfinding and resource efficiency. Utilizing a structured development process, the proposed solution integrates lightweight data structures and modular components to minimize computational load and enhance scalability. …”
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AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE by I. A. Kirshin

Subjects: “…company’s capital structure…”
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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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Application of Artificial Intelligence to Support Design and Analysis of Steel Structures by Sina Sarfarazi, Ida Mascolo, Mariano Modano, Federico Guarracino

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Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

Subjects: “…big data…”
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Quality Dimensions for Automatic Assessment of Structured Cyber Threat Intelligence Data by Algimantas Venčkauskas, Vacius Jusas, Dominykas Barisas

“…Specifically, we introduce new dimensions to accommodate the requirements of the technical and tactical levels of CTI data. A comprehensive CTI quality assessment is proposed on CTI data provided in structured STIX 2.1 notation. …”
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Hospital Accessibility Catchment Areas as a Fuzzy Lattice Data Structure by M. de Klerk, I. Fabris-Rotelli

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Panel Data Analysis of Export Structure and Growth: Case of BRICS-T Countries by Necip Dündar, Yüksel Bayraktar

“…Realisation of specialisation in areas dominated by technological production structure and the technological level of exported goods are essential determinants of macroeconomic performance. …”
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Comprehensive testing of large language models for extraction of structured data in pathology by Bastian Grothey, Jan Odenkirchen, Adnan Brkic, Birgid Schömig-Markiefka, Alexander Quaas, Reinhard Büttner, Yuri Tolkach

“…Abstract Background Pathology departments generate large volumes of unstructured data as free-text diagnostic reports. Converting these reports into structured formats for analytics or artificial intelligence projects requires substantial manual effort by specialized personnel. …”
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AUTOMATION OF OPERATIONAL CONTROL OF DATA FLOWS OF THE METALLURGICAL ENTERPRISE ORGANIZATIONAL STRUCTURE by A. N. Chichko, N. V. Andrianov, Ju. V. Jatskevich

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THE STRUCTURE OF COSTS OF ANTIEPILEPTIC THERAPY ACCORDING TO THE DATA OF CENTER FOR CHILDREN WITH EPILEPSY by E. V. Shagrova, N. V. Orekhova, M. V. Leonova, P. N. Vlasov

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NEW DATA ON THE GEOLOGICAL STRUCTURE OF THE SYNNYR ULTRA-K INTRUSIVE FORMATION by S. A. Smyslov, A. E. Kayukov, A. O. Bystritsky, A. N. Sokolova, I. A. Sotnikova, A.  Yu. Rytsk

“…An extensive complex of geological and geochemical studies has been carried out, including exploratory drilling, which was carried out on the massif for the first time. The data obtained made it possible to significantly change the idea of the structure of the massif, including a different look at the regularities of the placement of potash-alumina ores, significantly increasing the ore potential and the reliability of its assessment. …”
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Simplex-structured matrix factorisation: application of soft clustering to metabolomic data by Wenxuan Liu, Thomas Brendan Murphy, Lorraine Brennan

“…The SSMF presented successfully estimates a soft clustering of the metabolomic data. It provides an interpretable representation of the data structure using the cluster prototypes combined with cluster memberships. …”
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Structuring Multidimensional Data in the Study of the Development of Information Society in Russian Regions by N. M. Gabdullin, I. A. Kirshin

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The method to develop classifi ers based on geometrical interpretation of data structure by М. N. Nessonova

“…It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure.…”
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Estimation of interface tension in the structured disperse systems using rheological data by G. A. Grigoriev, R. G. Allahverdov, U. U. Stoliarov

“…A novel equation was obtained with the use of Deriagin equation and equation for estimation of the yield strength of structured emulsion. This equation permits us to estimate the surface tension in the water medium-oil particle interface (P-M) with the aid of experimental data. …”
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Applications of visualization technology in the structural sciences by Edward T. Eng, Nichole R. Valdez

“…The structural sciences are undergoing a transformation driven by advancements in visualization technologies that aid researchers in understanding and communicating experimental data from complex molecular systems. …”
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Testing the Effectiveness of Voxels for Structural Analysis by Sara Gonizzi Barsanti, Ernesto Nappi

“…To assess the condition of cultural heritage assets for conservation, reality-based 3D models can be analyzed using FEA (finite element analysis) software, yielding valuable insights into their structural integrity. Three-dimensional point clouds obtained through photogrammetric and laser scanning techniques can be transformed into volumetric data suitable for FEA by utilizing voxels. …”
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The role of structural empowerment in job distress by hamed heydari, mohammad yazdani ziarat

“…Statistical population of this study included all personnel of the Labor and Social affairs of Qom, and because of the limitation of the population all of them were selected as sample. The research data collection tools were two questionnaires: Kanter's (1977) structural empowerment Questionnaire, and Randolph and Blackburn's (1990) job distress Questionnaire. …”
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