Results 21 to 30 of about 214,708 (186)
ISPRS International Journal of Geo-Information, 2019 Green parks are vital public spaces and play a major role in urban living and well-being. Research on the attractiveness of green parks often relies on traditional techniques, such as questionnaires and in-situ surveys, but these methods are typically ...
Hidayat Ullah +5 more
doaj +1 more source
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
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 +3 more
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First Measurement of the Clustering Evolution of Photometrically-Classified Quasars [PDF]
, 2005 We present new measurements of the quasar autocorrelation from a sample of \~80,000 photometrically-classified quasars taken from SDSS DR1. We find a best-fit model of $\omega(\theta) = (0.066\pm^{0.026}_{0.024})\theta^{-(0.98\pm0.15)}$ for the angular ...
Adam D. Myers +15 more
core +2 more sources
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 +3 more
doaj +1 more source
Statistical Classification Techniques for Photometric Supernova Typing [PDF]
, 2010 Future photometric supernova surveys will produce vastly more candidates than can be followed up spectroscopically, highlighting the need for effective classification methods based on lightcurves alone.
Aldering +51 more
core +2 more sources
Multivariate modality inference using Gaussian kernel [PDF]
, 2014 The number of modes (also known as modality) of a kernel density estimator (KDE) draws lots of interests and is important in practice. In this paper, we develop an inference framework on the modality of a KDE under multivariate setting using Gaussian ...
Cheng, Yansong, Ray, Surajit
core +1 more source
Natural Product Communications, 2023 Background This study compared the contents of extracts of Chenopodium formosanum (Djulis) originating from 2 aboriginal areas (Kaohsiung and Taitung, Taiwan) and evaluated their efficacy in ameliorating insulin resistance in vitro .
Hui-Li Lin +6 more
doaj +1 more source
Kernel Density Estimation-based Lightweight IoT Anomaly Traffic Detection Method [PDF]
Jisuanji kexue, 2021 In order to effectively deal with the security threats of home and personal Internet of Things(IoT) bot nets,especially for the objective problem of insufficient resources for anomaly detection in the home environment,a kernel density estimation-based ...
ZHANG Ye, LI Zhi-hua, WANG Chang-jie
doaj +1 more source
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 +4 more
doaj +1 more source