Determination of filtration characteristics of concrete structures of the underground constructions on the basis of the monitoring data by E. Yu. Kulikova

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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 Approach to the Signalling of Enumerative Structures by Lydia-Mai Ho-Dac, Cécile Fabre, Marie-Paule Péry-Woodley, Josette Rebeyrolle, Ludovic Tanguy

“…This paper presents a data-intensive study of the signalling of enumerative structures. …”
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Evaluating new technologies and organizational structures by Ofira Schwartz, Michele Hayslett

“…The first two evaluate methods to enhance findability of data deposited in data repositories. The subsequent two papers focus on organizational structure and improving organizational workflows. …”
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Damage Indicators for Structural Monitoring of Fiber-Reinforced Polymer-Strengthened Concrete Structures Based on Manifold Invariance Defined on Latent Space of Deep Autoencoders by Javier Montes, Juan Pérez, Ricardo Perera

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AI-assisted study of auxetic structures by Sergej Grednev, Henrik S. Steude, Stefan Bronder, Oliver Niggemann, Anne Jung

“… In this study, the viability of using machine learning models to predict stress-strain curves of auxetic structures based on geometry-describing parameters is explored. …”
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Structures of order in the russian economic system by M. V. Nikolayev

“…Results: A phase trajectory was built of economic systems development in the Russian Federation and the Republic of Tatarstan. Basing on these data, the types of established and emerging structures of order were identified and characterized: of unstable limit cycle; of equilibrium trends; of stable limit cycle. …”
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Topological Structures on Vertex Set of Digraphs by K. Lalithambigai, P. Gnanachandra

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Multicore structures of oceanic mesoscale eddies by Yanjiang Lin

“…Mesoscale eddies observed in coarse-resolution data typically appear with a single center. However, recent altimetry observations of Surface Water and Ocean Topography (SWOT) reveal many eddies own multicore structures. …”
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DEVELOPMENT OF BULGARIAN AGRICULTURE PRODUCTION STRUCTURES by Hristina HARIZANOVA-BARTOS, Monika KABADZHOVA

“…In this regard, the article aims to track the development of the main agrarian structures in Bulgaria from 2010 to 2020. The materials provide the most recent statistical data for the analytical period, during which we examined the evolution of Bulgaria's main agricultural systems. …”
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Implication of climate changes on design of structures by Jana Markova, Miroslav Sýkora, Vitali Nadolski

“…The second generation of the Eurocodes for structural design is expected to be nationally implemented within next few years and operational National Annexes should be subsequently developed and the climatic maps revised. …”
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Filtration Bypassing Retaining Hydraulic Structures by G. G. Kruglov, N. N. Linkevich, O. V. Nemerovets

“…According to the obtained experience a depression curve encircling the abutment has been constructed which show good agreement between experimental and calculated data that allows to use this method for reasonable design of coastal abutment structures ensuring their reliable operation.…”
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Evaluation indexes quality, cost and time at Lightweight steel structures (case study:LSF structures in yazd city) by Seyed Shahabaldin Mirjafari

“…Than it can be a kind stable investment or in the other hand the structure of a city and goal' s of functional management are really important.Than necessity of industrial structure is because of prominent features for instance : quality booting, reduction of cost and time are more necessary than before.LSF Structure got more fashionable, just because of side benefits.Use of C is getting more in Yazd.In this research shows the Evaluation of some Indicators, quality, cost, time.About LSF Structure in Yazd: at first the structure system is will be a paraphrased.Then by some question notes , we gather specialist's idea end opinion. …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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Topographic and subterranean structural mapping utilizing aerial magnetic and remote sensing data by Suraj Kalgonda Patil, Amanulla Liyakatalli Mulla, Amitkumar Sukumar Sajane

“…The current investigation focuses on conducting surface and subsurface structural mapping of Warana River basin’s Rafin Rewa’s warm spring area and its surroundings utilizing airborne magnetic and topographic datasets. …”
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Structural Analysis of Huaguangtan Arch Dam Based on Data Assimilation Parametric Inversion by LIN Xianzhi, LUO Zenghong, XU Zheng, MIN Jiesheng, CAO Chuanbo, ZHAO Quan

“…Aiming at the difficulty of the accurate safety assessment of the overall structural state of Huaguangtan Arch Dam,a finite element model of the arch dam is established,and the data assimilation algorithm is used to invert the material parameters based on the results of the sensitivity analysis of the mechanical parameters of the arch dam concrete and bedrock.Finally,the material parameters of finite element calculation are calibrated by parameter inversion results.The results show that the residual between the finite element displacement simulation result and the monitoring data conforms to the Gaussian distribution,and its standard deviation after data assimilation parametric inversion is reduced by 81.2%,which improves the accuracy of finite element calculation.This method enables automated operation and provides a reasonable and reliable new idea for the structural safety assessment of arch dams.…”
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Review of the technology used for structural characterization of the GMO genome using NGS data by Kahee Moon, Prakash Basnet, Taeyoung Um, Ik-Young Choi

“…According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. …”
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Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data by Evan Collins, Evan Collins, Evan Collins, Omar Chishti, Omar Chishti, Hari McGrath, Hari McGrath, Sami Obaid, Sami Obaid, Sami Obaid, Alex King, Alex King, Edwin Qiu, Ellie Gabriel, Xilin Shen, Jagriti Arora, Xenophon Papademetris, Xenophon Papademetris, Xenophon Papademetris, Xenophon Papademetris, R. Todd Constable, R. Todd Constable, R. Todd Constable, R. Todd Constable, Dennis D. Spencer, Hitten P. Zaveri

“…For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. …”
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Data collection and transmission strategies for structural safety monitoring of large-scale infrastructure by Feng Zhou

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