Showing 6,601 - 6,620 results of 6,894 for search '"Nonlinearity"', query time: 0.06s Refine Results
  1. 6601

    Seismic Vulnerability Assessment of the Cliff-Attached Buildings Equipped with Energy Dissipation Devices Under Obliquely Incident Seismic Waves by Zhuoxin Yang, Dewen Liu, Jiayu Zhou, Li Zhang, Wenyuan Liao

    Published 2024-10-01
    “…The dynamic response of the obliquely incident seismic waves under the action of the cliff-attached vibration reduction structure is studied in depth, and the additional effective damping ratios of the nonlinear energy-dissipated units based on the deformation energy are compared and analyzed. …”
    Get full text
    Article
  2. 6602

    Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

    Published 2025-01-01
    “…The particle swarm optimization mathematical equation with a decay function is built to optimize the FCM chaotic clustering model. The nonlinear decayed particle velocity equation is constructed to update the particle position and iteratively refine the optimal clustering center positions to realize the feature extraction of microcracks. …”
    Get full text
    Article
  3. 6603

    Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid by Hampfrey Odero, Cyrus Wekesa, George Irungu

    Published 2022-01-01
    “…Artificial intelligence (AI) and metaheuristic techniques have proven to be efficient and robust in offering solutions to complex nonlinear prediction and optimization problems. Therefore, this study aims to utilize backpropagation neural network (BPNN) algorithm to conduct hourly prediction of the generation output of Lake Turkana Wind Power Plant (LTWPP), a 310 MW plant connected to the Kenyan power grid, and optimally size its battery energy storage system (BESS) using genetic algorithm (GA) to guarantee its dispatchability. …”
    Get full text
    Article
  4. 6604

    Influence of Organic Matter Content on Engineering Properties of Clays by Yue Gui, Qiumin Zhang, Xiaqiang Qin, Jianfei Wang

    Published 2021-01-01
    “…The experimental results found that, with the change of organic matter content, the specific gravity and void ratio of clay changed linearly, while the water content, Atterberg limit, shear strength, cohesion, and friction angle changed nonlinearly with the increase of organic matter content. …”
    Get full text
    Article
  5. 6605

    Allometric equations for estimating above and belowground biomass of Colophospermum mopane in Mozambique by Sá Nogueira Lisboa, Severino Macôo, Almeida Alberto Sitoe

    Published 2025-01-01
    “…We fitted three BAE models using Ordinary Least Squares (OLS) regression and fifteen H-D models using nonlinear regression. A validation procedure checked the applicability of all models. …”
    Get full text
    Article
  6. 6606

    Fuzzy modeling using the similarity-based approximate reasoning system by Jalal Chachi, Mehdi Jalalvand

    Published 2025-01-01
    “…Next,  we validate the effectiveness of the   proposed similarity measure in a bidirectional approximate reasoning system in order to provide a  nonlinear mapping of fuzzy  input data into fuzzy output data. …”
    Get full text
    Article
  7. 6607

    Association between serum carotenoids levels and endometriosis risk: evidence from the National Health and Nutrition Examination Survey by Jian Huang

    Published 2025-02-01
    “…Additionally, restricted cubic spline (RCS) was employed to assess the possibility of nonlinear associations. Finally, subgroup analyses were utilized to estimate the influence of several covariates on the associations.ResultsWeighted multivariate logistic regression analyses showed that, after adjusting for all covariates taken into account, there was a significant association between serum lutein/zeaxanthin levels and reduced risk of endometriosis (Quartile 3 vs. …”
    Get full text
    Article
  8. 6608

    Scaling up uncertain predictions to higher levels of organisation tends to underestimate change by James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Jean‐François Arnoldi

    Published 2021-08-01
    “…We explain why dimensional effects do not play out when predicting change of a single linear aggregate property (e.g. total biomass), yet are revealed when predicting change of nonlinear properties (e.g. absolute biomass change, stability or diversity), and when several properties are considered at once to describe the ecosystem, as in multi‐functional ecology. …”
    Get full text
    Article
  9. 6609

    Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection. by Colin Tomes, Ben Schram, Elisa Canetti, Robin Orr

    Published 2025-01-01
    “…The MSFT was significantly, positively, correlated with pRR50% (ρ (6) = 0.812, p = 0.050, Fisher's z = 1.132). The MSFT and nonlinear HRV, frequency domain HRV, and HR were not significantly correlated. …”
    Get full text
    Article
  10. 6610

    Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach by Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan

    Published 2018-01-01
    “…We observe that the reservoir acts as a nonlinear filter projecting the input into a higher dimensional space in which the relationships are separable; i.e., the reservoir system state trajectories display different dynamical patterns that reflect the corresponding input pair relationships. …”
    Get full text
    Article
  11. 6611

    Multiple Influence Factor Sensitivity Analysis and Height Prediction of Water-Conducting Fracture Zone by Xiaobin Li, Quansheng Li, Xuhui Xu, Yongqiang Zhao, Peng Li

    Published 2021-01-01
    “…Using the multiple regression mathematical model, a nonlinear statistical relationship between the height of the water-conducting fracture zone and ratio coefficient of hard rock lithology, mining thickness, working face length, and mining depth was obtained. …”
    Get full text
    Article
  12. 6612

    Design of Experiment as a powerful tool when applying Finite Element Method: a case study on prediction of hot rolling process parameters by Giancarlo Giuseppe Bordonaro, Riccardo Leardi, Luca Diviani, Filippo Berto

    Published 2018-03-01
    “…In this work, Design of Experiment (DOE) is proposed as a powerful and viable method for the prediction of rolling process parameters while reducing the computational effort. Nonlinear 3D FE models of the hot rolling process are developed for a large set of complex cross-section shapes and validated against experimental evidences provided by real plant products at each stage of the deformation sequence. …”
    Get full text
    Article
  13. 6613

    Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

    Published 2025-03-01
    “…This issue maximizes energy yield and facilitates early fault detection by identifying performance deviations, enabling timely maintenance, and reliable energy production. MJSCs are highly nonlinear and require precise parameter selection. …”
    Get full text
    Article
  14. 6614

    Distance-Based Congestion Pricing with Day-to-Day Dynamic Traffic Flow Evolution Process by Qixiu Cheng, Jiping Xing, Wendy Yi, Zhiyuan Liu, Xiao Fu

    Published 2019-01-01
    “…Firstly, a piecewise linear function is adopted to formulate the nonlinear distance toll, which can be encapsulated to a day-to-day dynamics context. …”
    Get full text
    Article
  15. 6615

    Predicting Screening Efficiency of Probability Screens Using KPCA-GRNN with WP-EE Feature Reconstruction by Qingtang Chen, Yijian Huang

    Published 2024-01-01
    “…The screening system is a nonlinear and non-Gaussian complex system. To better characterize its attributes and improve the prediction accuracy of screening efficiency, this study involves the acquisition of the vibration signals and screening efficiency data under various operational conditions. …”
    Get full text
    Article
  16. 6616

    Spatial Cognitive EEG Feature Extraction and Classification Based on MSSECNN and PCMI by Xianglong Wan, Yue Sun, Yiduo Yao, Wan Zuha Wan Hasan, Dong Wen

    Published 2024-12-01
    “…First, the PCMI extracts nonlinear spatial features, generating spatial feature matrices across different channels. …”
    Get full text
    Article
  17. 6617

    Stability Analysis of a Weathered-Basalt Soil Slope Using the Double Strength Reduction Method by Xiaoliang Liu, Xin Chen, Mei Su, Shilin Zhang, Dengfeng Lu

    Published 2021-01-01
    “…The large landslide occurs in Jichang Town, Shuicheng County, Guizhou Province, China, on July 23, 2019, as the engineering background. Based on the nonlinear relationship between the soil water content, cohesion, and friction angle measured in laboratory tests, the finite element reduction problem of the double-strength parameters is only transformed into a reduction problem of water content. …”
    Get full text
    Article
  18. 6618

    Epidemiological characteristics of elderly osteoporosis fractures and their association with air pollutants: a multi-center study in Hebei Province by Guangzhao Hou, Qian Xiao, Zhipeng Ye, Shihang Liu, Shuai Zhou, Yan Wang, Wenjing Li, Yingze Zhang, Hongzhi Lv

    Published 2024-12-01
    “…The Distribution Lag Nonlinear Model (DLNM) showed that the cumulative lagged effects of PM2.5 and PM10 on the number of hospitalized elderly osteoporosis fracture patients exhibited a bimodal distribution, with the Relative Risk (RR) reaching its peak at a 1-day lag (PM2.5: RR = 1.032, 95% CI: 1.019, 1.045; PM10: RR = 1.022, 95% CI: 1.014, 1.029). …”
    Get full text
    Article
  19. 6619

    Association between PM2.5 components and poor ovarian response in assisted reproductive technology patients: A retrospective cohort study identifying sensitive exposure windows in... by Rui-Ling Liu, Zhi-Lei Xu, Yu-Ling Hu, Xing-Yu Lv, Quan-Zi Yao, Jia-Liang He, Li-Juan Fu, Li-Hong Geng, Tong Wang, Zhao-Hui Zhong, Yi-Jian Zhu, Yu-Bin Ding

    Published 2025-02-01
    “…The distributed lag nonlinear model (DLNM) analysis revealed the lagged effects of PM2.5 component exposure, particularly during lag weeks 2–5, where exposure was significantly associated with the occurrence of POR. …”
    Get full text
    Article
  20. 6620

    Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China by Zhiming Xia, Kaitao Liao, Liping Guo, Bin Wang, Hongsheng Huang, Xiulong Chen, Xiangmin Fang, Kuiling Zu, Zhijun Luo, Faxing Shen, Fusheng Chen

    Published 2025-01-01
    “…Spring minimum temperature was the most important seasonal climate variable. Both linear and nonlinear relationships were identified between these variables and the NDVI, with most variables exhibiting threshold effects. …”
    Get full text
    Article