Showing 861 - 880 results of 2,557 for search '(functional OR function) gradient', query time: 0.13s Refine Results
  1. 861

    Effects of Rock Fragment Cover on the Sediment Transport Capacity of Overland Flow by Lixia Dong, Suhua Fu, Baoyuan Liu

    Published 2025-01-01
    “…Tc typically follows a power function with slope gradient (S) and flow discharge (q) under bare flumes, but varying exponents complicate practical application. …”
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  2. 862

    An efficient method for predicting temperature field of PC beams with CSWs using thermocouple numerical analysis and random forest algorithm by Haiping Zhang, Hao Long, Fanghuai Chen, Yuan Luo, Xinhui Xiao, Yang Deng, Naiwei Lu, Yang Liu

    Published 2025-10-01
    “…Finally, the SHapley Additive exPlanations (SHAP)function was used to interpret the trained random forest model, and the effects of girder height, bridge orientation, solar radiation, air temperature, and ground reflectivity on the vertical temperature gradient were investigated.…”
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  3. 863

    Development of generalized terrain-following FVCOM model for the steep terrain seas by Yixuan Bu, Yang Chen, Yang Chen, Shouxian Zhu, Wenjing Zhang, Guangsong Cao, Zhenguo Ding

    Published 2025-08-01
    “…In this study, a continuous layer index function, λ, was adopted as a generalized vertical coordinate to replace the sigma coordinate in the FVCOM model. …”
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  4. 864

    An Adaptive Weight Physics-Informed Neural Network for Vortex-Induced Vibration Problems by Ping Zhu, Zhonglin Liu, Ziqing Xu, Junxue Lv

    Published 2025-05-01
    “…The Physics-Informed Neural Network (PINN), a subfield of DL, introduces physics equations into the loss function to reduce the need for large data. Nevertheless, PINN loss functions often include multiple loss terms, which may interact with each other, causing imbalanced training speeds and a potentially inferior overall performance. …”
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  8. 868

    An S-Hybridization Technique Using Two-Directional Optimization by Vladimir Rakočević, Milena J. Petrović

    Published 2025-02-01
    “…In this paper, we study a recently established s-hybrid approach for generating gradient descent methods for solving optimization tasks. …”
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    Article
  9. 869

    Online Three-Dimensional Fuzzy Multi-Output Support Vector Regression Learning Modeling for Complex Distributed Parameter Systems by Gang Zhou, Xianxia Zhang, Hanyu Yuan, Bing Wang

    Published 2025-03-01
    “…The proposed method employs spatial fuzzy basis functions from the 3D fuzzy model as kernel functions, enabling direct construction of a comprehensive fuzzy rule base. …”
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  10. 870

    Verifying hyperparameter sensitivities of optimal filter design methods for fault signature enhancement by Schmidt Stephan, Wilke Daniel N., Heyns Philippus Stephan, Gryllias Konstantinos C.

    Published 2025-01-01
    “…However, ensuring robust and reliable results requires verifying the correctness of design sensitivities, i.e., the gradients of both objective and constraint functions with respect to design variables, as well as hyperparameter sensitivities. …”
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  11. 871
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  13. 873

    Aberration correction in long GRIN lens-based microendoscopes for extended field-of-view two-photon imaging in deep brain regions by Andrea Sattin, Chiara Nardin, Simon Daste, Monica Moroni, Innem Reddy, Carlo Liberale, Stefano Panzeri, Alexander Fleischmann, Tommaso Fellin

    Published 2025-05-01
    “…Two-photon (2P) fluorescence imaging through gradient index (GRIN) lens-based endoscopes is fundamental to investigate the functional properties of neural populations in deep brain circuits. …”
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    Article
  14. 874

    Study on multimodal crack growth of FG-TBCs and its influence on interface cracking by Kun Liu, Dongyang Lv, Yihui Du, Guoyong Ye, Yu Wang, Wei Fan, Lei Zhang, Yang Cao

    Published 2025-05-01
    “…Functionally graded thermal barrier coatings (FG-TBCs) face cracking challenges under extreme thermal shocks, yet the failure mechanisms involving multimodal surface cracks remain unclear. …”
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  15. 875
  16. 876

    Nonlinear Finite Element Model for FGM Porous Circular and Annular Micro-Plates Under Thermal and Mechanical Loads Using Modified Couple Stress-Based Third-Order Plate Theory by Enrique Nava, Jinseok Kim

    Published 2025-03-01
    “…Three different types of porosity distributions are considered. The strain gradient effect in micro-scale structures is accounted for by using the modified couple stress theory. …”
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  17. 877

    Cognitive impairment across the schizophrenia spectrum: a comparative neuropsychological study by Xiao-Yan He, An-Pei Wei, Zhuo-Hui Huang, Fei Wang, Li Li Guo, Cai-Lan Hou

    Published 2025-05-01
    “…Verbal memory: Hopkins Verbal Learning Test-Revised (HVLT-R).Visual memory: Brief Visuospatial Memory Test-Revised (BVMT-R). Executive function: Stroop Color and Word Test (SCWT). Group differences were analyzed using Analysis of Covariance (covariates: age, education) with Bonferroni correction, supplemented by multinomial logistic regression.ResultsA stepwise gradient of impairment emerged across the schizophrenia spectrum (HC > FDR > CHR > FEP > MECS), with significant between-group differences (p<0.001) persisting after covariate adjustment. …”
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  18. 878

    Elastic-plastic stress analysis of shrink-fitted thick FGM cylinders by Zrinej Samiha, Laghzale Nor-Eddine, Bouzid Abdel-Hakim A.

    Published 2024-01-01
    “…Due to the material's functional gradation, mechanical characteristics like Young's modulus, yield stress, and plastic parameters are controlled by a power function along the wall thickness. …”
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  19. 879

    Stress-Responsive Spatial Voronoi Optimization for Lightweight Architectural Shell Structures by Haining Zhou, Xinyu Shi, Da Wan, Weijiu Cui, Kang Bi, Wenxuan Zhao, Rong Jiao, Hiroatsu Fukuda

    Published 2025-05-01
    “…Gradient porous structures (GPS) offer significant mechanical and functional advantages over homogeneous counterparts. …”
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  20. 880

    Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

    Published 2025-12-01
    “…Key predictive variables such as Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), cholesterol levels, and functional assessment scores were identified and visualized using SHAP-based insights. …”
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