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Showing 1,301 - 1,320 results of 53,535 for search '((structures OR unstructure) OR structures) data', query time: 0.34s Refine Results
  1. 1301

    A Data-Driven Analysis of Electric Vehicle Adoption Barriers in the Philippines: Combining SEM and ANNs by Charmine Sheena R. Saflor, Klint Allen Mariñas, Ma. Janice Gumasing, Jazmin Tangsoc

    Published 2024-11-01
    “…This study investigates the factors influencing the adoption of electric vehicles in the Philippines, focusing on key barriers through an integrated approach using machine learning and structural equation modeling (SEM). Specifically, artificial neural networks (ANNs) and SEM are employed to analyze data from online surveys and the existing literature, identifying the critical obstacles that impact consumer acceptance. …”
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    6Li(10B,9Be)7Be reaction mechanisms. Structure and interaction of 9Be + 7Be nuclei by A. T. Rudchik, A. A. Rudchik, O. O. Chepurnov, K. Rusek, K. W. Kemper, E. I. Koshchy, S. Yu. Mezhevych, Val. M. Pirnak, O. A. Ponkratenko, A. Stolarz, R. Siudak, A. P. Ilyin, Yu. M. Stepanenko, V. V. Uleshchenko, Yu. O. Shyrma

    Published 2021-09-01
    “…New experimental data of angular distributions for the 6Li(10B,9Be)7Be reaction were measured at the energy Elab(10B) = 51 MeV for the ground states of nuclei and excited 0.429 - 7.2 MeV states of 7Be. …”
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  6. 1306

    scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data by Qing Xie, Wang Meng, Shili Lin

    Published 2025-05-01
    “…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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    Article
  7. 1307

    Monitoring data of the openLAB research bridge – Part 1: Reference conditionOPARA by Andreas Jansen, Max Herbers, Bertram Richter, Maria Walker, Frank Jesse, Steffen Marx

    Published 2025-06-01
    “…Structural Health Monitoring (SHM) is emerging as an essential tool for ensuring the safety and longevity of an aging bridge infrastructure. …”
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    Exploration of 3D Coal Seam Geological Modeling Visualization and Gas Content Prediction Technology Based on Borehole Data by Xiangfeng Zhao, Tianxuan Hao, Huiyan Feng, Fan Li, Xu Li

    Published 2025-03-01
    “…Compared to actual borehole data and gas geological maps, this method offers high precision and enhanced efficiency.…”
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    Integration of airborne gamma-ray spectrometry and remote sensing data for mapping of gold-bearing structures in the Doropo region, Northeastern Côte d’Ivoire (Southern part of West African Craton) by Ziandjêdé Hervé Siagné, Alain Nicaise Kouamelan, Wilfried Digbeu, Tahar Aïfa, N’Guessan Nestor Houssou, Koffi Alexis N’dri, Ouattara Gbele

    Published 2025-12-01
    “…Furthermore, the Landsat 8 OLI data processing highlighted mainly structural trends oriented NW-SE, NE-SW and E-W, which were recognised in the field as fractures, shear zones and faults. …”
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    An Improved Method for Single Tree Trunk Extraction Based on LiDAR Data by Jisheng Xia, Sunjie Ma, Guize Luan, Pinliang Dong, Rong Geng, Fuyan Zou, Junzhou Yin, Zhifang Zhao

    Published 2025-04-01
    “…This study uses three-dimensional (3D) forest test data and point cloud data simulated by the Helios++ V1.3.0 software, and proposes a voxelized trunk extraction algorithm to determine the trunk location and the vertical structure of single tree trunks in forest areas. …”
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  18. 1318

    Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

    Published 2025-01-01
    “…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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  19. 1319

    Geotectonics and geodynamics of structures of the stretching of continents and oceans, communications with rudo petroleum potential and seismicity by Vladimir Mikhaylovich Harchenko, Galina Valentinovna Kolyadova, Boris Fyodorovich Galaj, Marina Anatolievna Beytuganova

    Published 2022-09-01
    “…To assess the concepts about the structures of the stretching assembled factual material: data structures of stretching of various ranks in the Eastern and Western Ciscaucasia, and the Red Sea. …”
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  20. 1320

    The political structures and its influences in sport development in the state of Paraná, Brazil: the case of athletics by Lenamar Fiorese Vieira, José Luiz Lopes Vieira

    Published 2008-06-01
    “…Informer's record, semi-structured interview, research diary and documents, were used to collect the data. …”
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