MBI-KG: A knowledge graph of structured and linked economic research data extracted from the 1937 book “Die Maschinen-Industrie im Deutschen Reich”MADATA by Renat Shigapov, Thomas Schmidt, Jan Kamlah, Irene Schumm, Jochen Streb, Sibylle Lehmann-Hasemeyer

“…The unstructured extracted data was then structured and semantically enriched to enable data integration and reuse. …”
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Unveiling the mineral resources and structural patterns in the Middle Benue Trough: a comprehensive exploration using airborne magnetic and radiometric data by Stephen E. Ekwok, Anthony M. George, Asuquo A. Omori, Kamal Abdelrahman, Samuel I. Ugar, Peter Andráš, Morod I. Morphy, Anthony E. Akpan, Ahmed M. Eldosouky

Subjects: “…Magnetic data…”
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D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification by Teng Yang, Song Xiao, Jiahui Qu

“…Nevertheless, GNN faces challenges as the manually defined static graph structure might not accurately capture the complexity of the data. …”
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OECD Structural Analysis Databases: Sectoral Principles in the Study of Markets for Goods and Services by M. D. Simonova

Subjects: “…structural economic analysis…”
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DETERMINANTS OF STRUCTURAL DIMENSION OF DAILY BEHAVIOUR IN A TRADITIONAL AFRICAN CITY: A CASE STUDY OF ILORIN, NIGERIA by Moses Olutoyin ADEDOKUN

“…Descriptive statistics were used to summarize the data while Principal Component Analysis was used to test the research hypotheses. …”
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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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Macromolecular crystallography from an industrial perspective – the impact of synchrotron radiation on structure-based drug discovery by H. Käck, T. Sjögren

Subjects: “…structure-based drug design…”
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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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GEODYNAMIC ACTIVITY OF MODERN STRUCTURES AND TECTONIC STRESS FIELDS IN NORTHEAST ASIA by L. P. Imaeva, G. S. Gusev, V. S. Imaev, S. V. Ashurkov, V. I. Melnikova, A. I. Seredkina

Subjects: “…parageneses of active structures…”
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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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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

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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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Inventory of Shallow-Water Fouling Invertebrates of Long Island, New York by Ezra Roesch, Jack H. Rosencrans, Kent A. Hatch, Robert W. Thacker

Subjects: “…community structure…”
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Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains by Nan Wang, Xiang Li, Zhe Suo, Jiuchen Fan, Jixin Wang, Dongxuan Xie

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New Cure Rate Survival Models Generated by Poisson Distribution and Different Regression Structures with Applications to Cancer Data Set by Mahdy Esmailian, Reza Azimi, Diego I. Gallardo, Parviz Nasiri

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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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