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6601
Seismic Vulnerability Assessment of the Cliff-Attached Buildings Equipped with Energy Dissipation Devices Under Obliquely Incident Seismic Waves
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. …”
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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...
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. …”
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6603
Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid
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. …”
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6604
Influence of Organic Matter Content on Engineering Properties of Clays
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. …”
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6605
Allometric equations for estimating above and belowground biomass of Colophospermum mopane in Mozambique
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. …”
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6606
Fuzzy modeling using the similarity-based approximate reasoning system
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. …”
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6607
Association between serum carotenoids levels and endometriosis risk: evidence from the National Health and Nutrition Examination Survey
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. …”
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6608
Scaling up uncertain predictions to higher levels of organisation tends to underestimate change
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. …”
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6609
Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection.
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. …”
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6610
Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach
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. …”
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6611
Multiple Influence Factor Sensitivity Analysis and Height Prediction of Water-Conducting Fracture Zone
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. …”
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6612
Design of Experiment as a powerful tool when applying Finite Element Method: a case study on prediction of hot rolling process parameters
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. …”
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6613
Multijunction solar cell parameter estimation based on metaheuristic algorithms
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. …”
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6614
Distance-Based Congestion Pricing with Day-to-Day Dynamic Traffic Flow Evolution Process
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. …”
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6615
Predicting Screening Efficiency of Probability Screens Using KPCA-GRNN with WP-EE Feature Reconstruction
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. …”
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6616
Spatial Cognitive EEG Feature Extraction and Classification Based on MSSECNN and PCMI
Published 2024-12-01“…First, the PCMI extracts nonlinear spatial features, generating spatial feature matrices across different channels. …”
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6617
Stability Analysis of a Weathered-Basalt Soil Slope Using the Double Strength Reduction Method
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. …”
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6618
Epidemiological characteristics of elderly osteoporosis fractures and their association with air pollutants: a multi-center study in Hebei Province
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). …”
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6619
Association between PM2.5 components and poor ovarian response in assisted reproductive technology patients: A retrospective cohort study identifying sensitive exposure windows in...
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. …”
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6620
Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China
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. …”
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