Results 171 to 180 of about 50,928 (234)

Hybrid Beta-KDE Model for Solar Irradiance Probability Density Estimation

IEEE Transactions on Sustainable Energy, 2020
This letter proposes a hybrid Beta-kernel density estimation (KDE) model for solar irradiance probability density estimation. The model combines parametric and nonparametric approaches to avoid KDE boundary bias and obtain a more reliable statistical ...
Maisam Wahbah, Tarek H M El-Fouly, Bashar Zahawi   +2 more
exaly   +2 more sources

Evaluating and diagnosing ecosystem health of the “three-lake” watershed in Yuxi, Yunnan, China from 2010 to 2020 by PSR-KDE

Environmental Research
To carry out the diagnosis and evaluation of the ecosystem health in Yuxi three-lake watershed, this paper presents the changing trend of its health state, and predicts the future development.
Jiansheng Zhang
exaly   +2 more sources

A KDE-based non-parametric cloud approach for efficient seismic fragility estimation of structures under non-stationary excitation

Mechanical Systems and Signal Processing, 2023
Xu-Yang Cao, De-Cheng Feng, Michael Beer   +2 more
exaly   +2 more sources

FR–KDE: A Hybrid Fuzzy Rule-Based Information Fusion Method with its Application in Biomedical Classification

International Journal of Fuzzy Systems, 2020
Fuyuan Xiao, Xiao Fuyuan
exaly   +2 more sources

Demand Model Generation from Traces: Adaptive KDE Data-Driven Optimization

, 2022
Nowadays IoT and big data technologies make it easy to collect a huge amount of precise data about geospatial mobility. This abundant data improves mobility systems' study and optimization by allowing the application of data-driven approaches to gather ...
Luca Vassio, Danilo Giordano, Marco Mellia   +2 more
exaly   +2 more sources

KDE-Track: An Efficient Dynamic Density Estimator for Data Streams

IEEE Transactions on Knowledge and Data Engineering, 2017
Suojin Wang, Xiangliang Zhang
exaly   +2 more sources

KDE-GAN: A multimodal medical image-fusion model based on knowledge distillation and explainable AI modules

Comput. Biol. Medicine, 2022
BACKGROUND As medical images contain sensitive patient information, finding a publicly accessible dataset with patient permission is challenging. Furthermore, few large-scale datasets suitable for training image-fusion models are available.
Jian Mi, Lifang Wang, Yang Liu, Jiong Zhang   +3 more
semanticscholar   +1 more source

Adaptive Feature Fusion and Spatio-Temporal Background Modeling in KDE Framework for Object Detection and Shadow Removal

IEEE transactions on circuits and systems for video technology (Print), 2022
Moving cast shadow identification and extraction are the commonly encountered problems in visual surveillance applications. In the video object detection problem, a shadow is a category of the dynamic entity which needs to be removed for accurate ...
Subhaluxmi Sahoo, P. Nanda
semanticscholar   +1 more source