A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

“…Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. …”
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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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Yerevan Brickwork Residential Building Architecture and the Importance of Geographic Information Systems (GIS) in Preservation of Architectural Monuments and Structures by Evlin Ordoukhanian, Shahen Shahinyan

“…This research aims to gather and maintain accurate information about brick structures, which significantly impacts their preservation. …”
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Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

Subjects: “…data-driven…”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Specifically, a multi-view co-association matrix optimization objective function with doubly-stochastic constraints is first designed to capture the cross-view cluster structure. Then, a multi-view cluster structure guided one-class BLS-autoencoder (MOCBLSAEs) is proposed, which learns the discriminative patterns of normal traffic data by preserving the cross-view clustering structure while minimizing the intra-view sample reconstruction errors, thereby enabling the identification of unknown intrusion data. …”
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Accurate temperature dependence of structure factors of l-alanine and taurine for quantum crystallography by Mibuki Hayashi, Takashi Nishioka, Hidetaka Kasai, Eiji Nishibori

“…Multi-temperature high-quality structure factors of L-alanine and taurine were re-measured at the SPring-8 BL02B1 beamline for method development in quantum crystallography. …”
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Research on real-world knowledge mining and knowledge graph completion (II): Methods and pro-gress of information extraction from unstructured electronic medical records by Si-Yu YAN, Xu-Hui LI, Mu-Kun CHEN, Hai-Feng ZHU, Jie-Jun TAN, Kuang GAO, Yong-Bo WANG, Qiao HUANG, Xiang-Ying REN, Ying-Hui JIN, Xing-Huan WANG

Subjects: “…unstructured data…”
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Dataset for evaluation and numerical modelling of structural performance of fibre-reinforced shotcrete with fibres of steel, synthetic and basaltMendeley Data by Andreas Sjölander, Erik Nordström, Anders Ansell

“…This could be used to get an indication of the required dosage of each fibre type to fulfil structural requirements. The raw data from the test machine is valuable for the numerical modelling of fibre-reinforced shotcrete. …”
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Decision model for determining the ownership structure of chemical park units, Integration of decision-making techniques and data envelopment analysis by Darush Mohamadi Zanjirani

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Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions by Eungi Hwang, Jang Hyun Kim, Sangwan Kim, Garam Kim

“…Additionally, the proposed structure is shown to offer advantages over the conventional structure in terms of current variation.…”
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Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt by Abdelbaset M. Abudeif, Zakaria Hamimi, Gaber M. Gaber, Adel Kotb, Nasir Alarifi, Stefano Bellucci, Marwa M. Masoud

“…To achieve this goal, Bouguer gravity and aeromagnetic data were used, processed and analyzed. Various depth estimation techniques were employed to analyze subsurface structures, each offering distinct advantages. …”
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Studying the radial structure of the poloidal Alfvén resonator by the method of phase portraits from Van Allen Probes satellite data by Vlasov Aleksandr

“…From comparison of theoretical calculations of the structure of transverse magnetic field components with observational data, we put forward an assumption that the second and fourth harmonics of the poloidal resonator make the main contribution to the observed oscillations.…”
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Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study by Gowtham G K, Thejas G. Urs

“…This study rigorously investigates cobalt chloride doped hydroxypropyl methylcellulose composite films, taking a significant step toward understanding structure property relations. The aim is to develop biodegradable yet conductive polymer composites by meticulously examining the effects of incorporating a metal salt like cobalt chloride. …”
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Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data by Zheng Ren, Ding Ma, Bin Jiang, Stefan Seipel

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Structural deformation in central Cuba and implications for the petroleum system: new insights from 3D inversion of gravity data by José Alberto Batista-Rodríguez, Marco Antonio Pérez-Flores, Jesús Blanco-Moreno, Luis Fernando Camacho-Ortegón

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A multi-stage algorithm based on data structure to deal challenges facing electric-supply restoration in smart grids by Mohamed Goda, Mazen Abdel-Salam, Mohamed-Tharwat EL-Mohandes, Ahmed Elnozahy

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Express Analysis of the Structural and Electronic Properties of Nanomaterials Using Big Data, Large Language Models and Generative Artificial Intelligence by N. A. Shymanski, A. V. Baglov, Kh. B. Musaev, O. N. Ruzimuradov, L. S. Khoroshko

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SV-MeCa: an XGBoost-based meta-caller approach for structural variant calling from short-read data by Rudel Christian Nkouamedjo Fankep, Arda Söylev, Anna-Lena Kobiela, Jochen Blom, Corinna Ernst, Susanne Motameny

“…Abstract Background Calling structural variants (SVs), i.e., genomic alterations of $$\ge $$ 50bp, from whole genome short-read data remains challenging, as existing callers are known to lack accuracy and robustness. …”
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The East-Mayotte new volcano in the Comoros Archipelago: structure and timing of magmatic phases inferred from seismic reflection data by Masquelet, Charles, Leroy, Sylvie, Delescluse, Matthias, Chamot-Rooke, Nicolas, Thinon, Isabelle, Lemoine, Anne, Franke, Dieter, Watremez, Louise, Werner, Philippe, Paquet, Fabien, Berthod, Carole, Cabiativa Pico, Victor, Sauter, Daniel

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Empirical Investigation of the Effects of the Measurement-Data Size on the Bayesian Structural Model Updating of a High-Speed Railway Bridge by Kodai Matsuoka, Haruki Yotsui, Kiyoyuki Kaito

“…Bayesian structural model updating (SMU) is among the most powerful methods for estimating the bending stiffness and modal damping of high-speed railway (HSR) bridges and predicting their bridge-response-based resonance responses. …”
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