Results 41 to 50 of about 51,642 (192)

Home range estimates (ha; 95% kernel density estimation [KDE], 90% KDE, 50% KDE) for free-ranging domestic cats in Mount Berry, Georgia, USA across seasons.

, 2015
Home range estimates (ha; 95% kernel density estimation [KDE], 90% KDE, 50% KDE) for free-ranging domestic cats in Mount Berry, Georgia, USA across seasons.
Susanna E. Kitts-Morgan (726950), Elizabeth I. Parsons (726953), Katharine A. Hilburn (726954), Lisa A. Bohannon (726952), Kyle C. Caires (726951)   +4 more
core   +1 more source

Delimitating Urban Commercial Central Districts by Combining Kernel Density Estimation and Road Intersections: A Case Study in Nanjing City, China

ISPRS International Journal of Geo-Information, 2019
An urban, commercial central district is often regarded as the heart of a city. Therefore, quantitative research on commercial central districts plays an important role when studying the development and evaluation of urban spatial layouts.
Jing Yang, Jie Zhu, Yizhong Sun, Jianhua Zhao   +3 more
doaj   +1 more source

Kernel Density Estimates (KDE) for settled larvae.

, 2022
Kernel Density Estimates (KDE) for settled larvae for aggregated LDM iterations. Larvae are colored by settlement days post spawn (DPS), and KDE density estimates (Level) are standardized to a maximum value within a bandwidth of one.
Paul S. Wills (13989486), Steven M. Lombardo (13989477), Laurent M. Chérubin (13989480), Andy J. Danylchuk (6274181), Aaron J. Adams (4427395), Jonathan M. Shenker (13989483), Matthew J. Ajemian (9127772)   +6 more
core   +1 more source

KDE 3.5 is out

, 2005
KDE 3.5 was released with lots of changes. SuperKaramba is now a standard KDE application and is neatly integrated. It allows embedding themelets on your desktop background.
openaire   +2 more sources

Probabilistic Wind Energy Potential Assessment in Vietnam Using Shape-Aware Hybrid Adaptive KDE

IEEE Access
Accurate modeling of wind speed probability density (WSPDs) distributions is important for assessing renewable energy potential. In this paper, we introduce the Shape-aware Hybrid Adaptive-bandwidth KDE (SHA-KDE) method, a new nonparametric modeling ...
Ton Duc Do, Tin Trung Chau, van-Phong Vu, Mi Sa Nguyen Thi, Dinh-Nhon Truong   +4 more
doaj   +1 more source

More chemistry in KDE

, 2006
After Kalzium and kfile_chemical , KDE has now be extended with kparts for 3D structure and spectrum display: Kryomol . It is written in C++ and licensed GPL. It supports several chemistry formats, among which quantum chemical formats like Gaussian03, NwChem and ACES, and 3D structures as MDL molefile and XYZ.
openaire   +1 more source

Uso di gvSIG e SEXTANTE per la perimetrazione degli ambiti periurbani

GEOmedia, 2010
Use of gvSIG and SEXTANTE for the perimetration of periurban areas The periurban fringe is the portion of land with characteristics of urbanization that cannot be considered neither urban nor rural.
Gabriele Nolè, Beniamino Murgante, Antonio Falciano   +2 more
doaj  

Demonstration and validation of Kernel Density Estimation for spatial meta-analyses in cognitive neuroscience using simulated data

Data in Brief, 2017
The data presented in this article are related to the research article entitled “Convergence of semantics and emotional expression within the IFG pars orbitalis” (Belyk et al., 2017) [1].
Michel Belyk, Steven Brown, Sonja A. Kotz   +2 more
doaj   +1 more source

A Novel Flexible Kernel Density Estimator for Multimodal Probability Density Functions

CAAI Transactions on Intelligence Technology
Estimating probability density functions (PDFs) is critical in data analysis, particularly for complex multimodal distributions. traditional kernel density estimator (KDE) methods often face challenges in accurately capturing multimodal structures due to
Jia‐Qi Chen, Yu‐Lin He, Ying‐Chao Cheng, Philippe Fournier‐Viger, Ponnuthurai Nagaratnam Suganthan, Joshua Zhexue Huang   +5 more
doaj   +1 more source

Depicted above are: (a) KDE of the length of individual records; (b) KDE of the number of measurements per individual; (c) KDE of the mean glucose per record.

, 2014
Depicted above are: (a) KDE of the length of individual records; (b) KDE of the number of measurements per individual; (c) KDE of the mean glucose per record.
George Hripcsak (242191), Noémie Elhadad (522968), D. J. Albers (293830), E. Tabak (578532), A. Perotte (578533)   +4 more
core   +1 more source