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Showing 2,041 - 2,060 results of 9,442 for search '(structures OR structural) variations', query time: 0.23s Refine Results
  1. 2041
  2. 2042

    DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

    Published 2022-01-01
    “…First, our framework utilizes a dual variational autoencoder for capturing the complex cross-modality relationships between node attributes and network structure, like vanilla autoencoders, but it also considers the potential data distribution and makes use of a generative adversarial network (GAN) for an adversarial regularization approach. …”
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  3. 2043

    Large-scale spatio-temporal variation in vital rates and population dynamics of an alpine bird by Nater, Chloé R., Frassinelli, Francesco, Martin, James A., Nilsen, Erlend B.

    Published 2024-12-01
    “…Quantifying temporal and spatial variation in animal population size and demography is a central theme in ecological research and important for directing management and policy. …”
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  4. 2044

    Studies of structural, optical, magnetic and dielectric properties of Sr0.7Bi0.2(Ti1-xZrx)O3 0.0 ≤ x ≤ 0.6 ceramics for wireless application by Inamullah, Asad Ali, Kashif Safeen, Salhah Hamed Alrefaee, Aiyeshah Alhodaib, Akif Safeen, Shaxnoza Saydaxmetova, Salah Knani, Ali Algahtani, Vineet Tirth, Abid Zaman

    Published 2025-07-01
    “…In this work, the impact produced by doping Zr4+ on the structural, optical, morphological, magnetic and dielectric properties of Sr0.7Bi0.2(Ti1-x Zrx)O3 ceramics has been investigated with respect to the frequency range of 1KHz to 1 MHz. …”
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  5. 2045
  6. 2046

    Determinants of Behavioral Intention and Compliance Behavior Among Transportation Network Vehicle Service Drivers During the COVID-19 Pandemic by Ma. Janice J. Gumasing

    Published 2025-03-01
    “…Data were collected from 342 TNVS drivers in the National Capital Region (NCR) and CALABARZON through a structured survey. Structural Equation Modeling (SEM) was employed to analyze the relationships among variables and assess the determinants of compliance behavior. …”
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  7. 2047
  8. 2048

    Evaluating Soil Degradation in Agricultural Soil with Ground-Penetrating Radar: A Systematic Review of Applications and Challenges by Filipe Adão, Luís Pádua, Joaquim J. Sousa

    Published 2025-04-01
    “…However, an assessment of ground-penetrating radar’s applications in agricultural soil research—particularly for detecting soil structural changes related to degradation—remains undetermined. …”
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  9. 2049

    Leveraging Whole-Genome Resequencing to Uncover Genetic Diversity and Promote Conservation Strategies for Ruminants in Asia by Qinqian Wang, Ying Lu, Mengfei Li, Zhendong Gao, Dongfang Li, Yuyang Gao, Weidong Deng, Jiao Wu

    Published 2025-03-01
    “…It not only reveals the intricate structure of ruminant genomes but also provides essential data for deciphering gene function, variation patterns, and evolutionary processes, thereby advancing the exploration of ruminant genetic mechanisms. …”
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  10. 2050
  11. 2051
  12. 2052

    Accounting for asymmetries in cleft sentence use by Bianca Maria De Paolis, Cecilia Andorno, Sandra Benazzo

    Published 2024-12-01
    “… Cleft constructions exhibit variations in their frequency of usage, influenced by different constraints and preferences at various levels, such as syntax or function. …”
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  13. 2053
  14. 2054

    Understanding farmers’ motivations for joining cashew marketing cooperatives in coastal Kenya: the moderating role of social capital by Gospel Iyioku, Ebenezer Donkor, Jana Mazancova, Jiri Hejkrlik

    Published 2024-12-01
    “…The study surveyed 249 cashew farmers from Kenya’s coastal region. Employing Structural Equation Modelling with Maximum Likelihood Robust estimation, the research explores the relationships between latent variables influencing participation. …”
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  15. 2055

    Research on damage recognition of concrete beams based on embedded piezoelectric sensors by Bin Fu, Pengcheng Li, Youjia Zhang, Xu wang, Shuqin Zheng, Yanru Wang

    Published 2025-07-01
    “…However, under the influence of service environment and loading, secondary cracks and holes in concrete beams may further expand, which may aggravate the structural damage and even lead to failure, posing a threat to the safety of people's lives and properties. …”
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  16. 2056

    An Optimally Oriented Coherence Attribute Method and Its Application to Faults and Fracture Sets Detection in Carbonate Reservoirs by Shuai Chen, Shengjun Li, Qi Ma, Lu Qin, Sanyi Yuan

    Published 2025-07-01
    “…The method is guided by depositional and tectonic principles, constructing model traces along directions with maximal structural variation to amplify responses at geological boundaries. …”
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  17. 2057

    An approach of the internal friction-dependent temperature changes for conventional and pure biogenic lubricating greases by Leif Ahme, Erik Kuhn, Miguel Ángel Delgado

    Published 2023-12-01
    “…In addition, they showed the lowest ratio of expended energies (R tee), which means more structural degradation in the stressed grease. On the contrary, the grease C3, with 13 wt% of Li-soap but the lowest base oil’s viscosity, showed the lowest maximum ΔT and the temperature profile was characterised by a moderate variation of ΔT along the test. …”
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  18. 2058
  19. 2059

    Dynamic Response Prediction of Railway Bridges Considering Train Load Duration Using the Deep LSTM Network by Sui Tan, Xiandong Ke, Zhenhao Pang, Jianxiao Mao

    Published 2024-10-01
    “…The factors that may affect the prediction accuracy, such as network structure, training samples, the number of structural units, and noise level, are discussed. …”
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  20. 2060

    Responses of grassland soil mesofauna to induced climate change by Iwona Gruss, Marta Czarniecka-Wiera, Sebastian Świerszcz, Magdalena Szymura, Tomasz Szymura, Małgorzata W. Raduła

    Published 2025-05-01
    “…Redundancy analysis (RDA) revealed that plant traits explained 37.91% of the variation in mesofauna structure. Structural Equation Modelling (SEM) further supported these findings, showing that climate exerted a strong negative effect on soil quality, which in turn had a pronounced positive influence on plant quality (total effect = 0.678). …”
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