Results 31 to 40 of about 50,928 (234)

Need for space: the key distance effect depends on spatial stimulus configurations. [PDF]

PLoS ONE, 2014
In numerous psychological experiments, participants classify stimuli by pressing response keys. According to Lakens, Schneider, Jostmann, and Schubert (2011), classification performance is affected by physical distance between response keys--indicating a
Melanie Jonas, Owino Eloka, Julia Stephan, Volker H Franz   +3 more
doaj   +1 more source

An Incremental Kernel Density Estimator for Data Stream Computation

Complexity, 2020
Probability density function (p.d.f.) estimation plays a very important role in the field of data mining. Kernel density estimator (KDE) is the mostly used technology to estimate the unknown p.d.f. for the given dataset.
Yulin He, Jie Jiang, Dexin Dai, Klohoun Fabrice   +3 more
doaj   +1 more source

Modeling the Charging Behaviors for Electric Vehicles Based on Ternary Symmetric Kernel Density Estimation

Energies, 2020
The accurate modeling of the charging behaviors for electric vehicles (EVs) is the basis for the charging load modeling, the charging impact on the power grid, orderly charging strategy, and planning of charging facilities.
Lixing Chen, Xueliang Huang, Hong Zhang
doaj   +1 more source

Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning

Complexity, 2022
Precise global solar radiation (GSR) data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment.
Meiyan Zhao, Yuhu Zhang, Tao Hu, Peng Wang   +3 more
doaj   +1 more source

Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence

Entropy, 2021
Weak fault signals, high coupling data, and unknown faults commonly exist in fault diagnosis systems, causing low detection and identification performance of fault diagnosis methods based on T2 statistics or cross entropy. This paper proposes a new fault
Juhui Wei, Zhangming He, Jiongqi Wang, Dayi Wang, Xuanying Zhou   +4 more
semanticscholar   +1 more source

GPB-GIS/KDE-analysis-code: KDE-analysis-code

, 2020
Contains arcpy and python scripts enabling the creation of community Kernel Density Estimation distribution maps. Input required is a csv containing a list of detected social communities (from the deployment of a Community Detection Algorithm on a large ...
GPB-GIS
core   +1 more source

Kde hledat bariéry rodičovství?

Sociální studia, 2016
Beatrice Chromková Manea, Petr Fučík
doaj   +1 more source

Probability Density Forecasting of Wind Speed Based on Quantile Regression and Kernel Density Estimation

Energies, 2020
Based on quantile regression (QR) and kernel density estimation (KDE), a framework for probability density forecasting of short-term wind speed is proposed in this study. The empirical mode decomposition (EMD) technique is implemented to reduce the noise
Lei Zhang, Lun Xie, Qinkai Han, Zhiliang Wang, Chen Huang   +4 more
doaj   +1 more source

Energy Hub Operation Under Uncertainty: Monte Carlo Risk Assessment Using Gaussian and KDE-Based Data

Energies
Energy hubs integrating onsite renewable generation and battery storage provide cost-efficient solutions for meeting building electricity requirements.
Spyros Giannelos, D. Pudjianto, Tai Zhang, Goran Strbac   +3 more
semanticscholar   +1 more source

Kde začínáme a kde končíme

Anthropologia integra, 2011
Horizontální přenos genů a genové inženýrství vyústily v celou řadu případů, kdy došlo k překročení hranic oddělujících lidský genom od genomů jiných organismů. Horizontální přenos genů je ryze přírodní proces, který nedokážeme potlačit. Genové inženýrství je vysoce prospěšná lidská aktivita, jíž se nemůžeme vzdát.
openaire   +2 more sources