Results 91 to 100 of about 20,242 (260)
Modified home range kernel density estimators that take environmental interactions into account
Movement Ecology, 2019 Background Kernel density estimation (KDE) is a major tool in the movement ecologist toolbox that is used to delineate where geo-tracked animals spend their time.
Guillaume Péron
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Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion
Advanced Engineering Materials, EarlyView.Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello +7 more
wiley +1 more source
پژوهشهای ریاضی, 2019 Introduction Selection the appropriate statistical model for the response variable is one of the most important problem in the finite mixture of generalized linear models.
Farzad Eskandari
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Testing Conditions and Estimating Parameters in Extreme Value Theory
Revstat Statistical Journal, 2019 Extreme Value Theory has been asserting itself as one of the most important statistical theories for the applied sciences providing a solid theoretical basis for deriving statistical models describing extreme or even rare events.
Helena Penalva +3 more
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Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
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Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method
Advanced Engineering Materials, EarlyView.A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
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A Semi-Parametric KDE-GPD Model for Earthquake Magnitude Analysis
MathematicsA semi-parametric mixture model, combining kernel density estimation (KDE) and the generalized Pareto distribution (GPD), is applied to analyze the statistical characteristics of earthquake magnitudes.
Yanfang Zhang, Yibin Zhao, Fuchang Wang
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Toward Tunable Magnetic Dirac Semimetals: Mn Doping of Cd3As2
Advanced Functional Materials, EarlyView.Dilute magnetic doping of topological semimetals offers a pathway to tune the topological phase via time reversal symmetry breaking. This is achieved by alloying the Dirac semimetal Cd3As2 with Mn via molecular beam epitaxy. Magnetotransport measurements provide preliminary evidence of changes to the electronic structure consistent with the emergence ...
Anthony D. Rice +10 more
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Fuzzy Semi-Parametric Regression Based on Z-numbers
Transactions on Fuzzy Sets and SystemsSemi-parametric regression models are highly valued for combining parametric structure with nonparametric flexibility. However, in real-world situations involving data with inherent uncertainty and variable reliability, classical fuzzy numbers are ...
Mahdi Ali Abdulhussein +2 more
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Advanced Functional Materials, EarlyView.Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
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