Results 11 to 20 of about 214,708 (186)

Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN

open access: yesISPRS International Journal of Geo-Information, 2020
Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs.
Muhammad Rizwan   +2 more
doaj   +1 more source

Multi-GPU-Parallel and Tile-Based Kernel Density Estimation for Large-Scale Spatial Point Pattern Analysis

open access: yesISPRS International Journal of Geo-Information, 2023
Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges.
Guiming Zhang, Jin Xu
doaj   +1 more source

An Improved Variable Kernel Density Estimator Based on L2 Regularization

open access: yesMathematics, 2021
The nature of the kernel density estimator (KDE) is to find the underlying probability density function (p.d.f) for a given dataset. The key to training the KDE is to determine the optimal bandwidth or Parzen window.
Yi Jin, Yulin He, Defa Huang
doaj   +1 more source

Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo

open access: yesISPRS International Journal of Geo-Information, 2020
The aim of this study is to analyze and compare the patterns of behavior of tourists and residents from Location-Based Social Network (LBSN) data in Shanghai, China using various spatiotemporal analysis techniques at different venue categories. The paper
Naimat Ullah Khan, Wanggen Wan, Shui Yu
doaj   +1 more source

Nonlinear process fault detection and identification using kernel PCA and kernel density estimation [PDF]

open access: yes, 2016
Kernel principal component analysis (KPCA) is an effective and efficient technique for monitoring nonlinear processes. However, associating it with upper control limits (UCLs) based on the Gaussian distribution can deteriorate its performance.
Cao, Yi, Samuel, Raphael
core   +1 more source

Kde hledat bariéry rodičovství?

open access: yesSociální studia, 2016
Beatrice Chromková Manea, Petr Fučík
doaj   +1 more source

Mapeando áreas de potencial interação entre a atividade pesqueira e hotspots de baleias-francas na Área de Proteção Ambiental da Baleia-Franca, litoral sul de Santa Catarina, Brasil

open access: yesBiotemas, 2022
Após o fim da caça das baleias-francas, a interação com as atividades antrópicas, como a atividade pesqueira, é uma das principais ameaças à conservação desses animais no Sul do Brasil.
Camila Rosana Morais de Medeiros   +6 more
doaj   +1 more source

Clustering on very small scales from a large sample of confirmed quasar pairs: Does quasar clustering track from Mpc to kpc scales? [PDF]

open access: yes, 2017
We present the most precise estimate to date of the clustering of quasars on very small scales, based on a sample of 47 binary quasars with magnitudes of ...
Djorgovski, S. G.   +6 more
core   +3 more sources

Treatment of Fulminant Hepatic Failure – Is There Light at the End of the Tunnel?

open access: yesCanadian Journal of Gastroenterology, 1995
A lot of research has been done on fulminant hepatic failure (FHF), mainly because of the high mortality associated with it. Many centres continue to search actively for the ideal medical treatment for FHF because liver transplantation is often difficult
KDE Kaita
doaj   +1 more source

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

open access: yesComplexity, 2022
Precise global solar radiation (GSR) data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment.
Meiyan Zhao   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy