Results 91 to 100 of about 258,234 (187)

Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach. [PDF]

Plants (Basel), 2023
Hasan RI, Yusuf SM, Mohd Rahim MS, Alzubaidi L.   +3 more
europepmc   +1 more source

Enhancing Broiler Weight Prediction via Preprocessed Kernel Density Estimation

Agriculture
Accurate broiler weight estimation in commercial farms is hindered by noisy scale data and multi-broiler occupancy. To address this challenge, we propose a KDE-based framework enhanced with systematic preprocessing, including coefficient of variation (CV)
Sangmin Yoo, Yumi Oh, Juwhan Song
doaj   +1 more source

A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation. [PDF]

BMC Med Res Methodol, 2023
Präger M, Kurz C, Holle R, Maier W, Laxy M.   +4 more
europepmc   +1 more source

ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R

Journal of Statistical Software, 2007
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
doaj  

Identification of the associations between genes and quantitative traits using entropy-based kernel density estimation. [PDF]

Genomics Inform, 2022
Yee J, Park T, Park M.
europepmc   +1 more source

Spatiotemporal Analysis of Gastrointestinal Tumor (GI) with Kernel Density Estimation (KDE) Based on Heterogeneous Background. [PDF]

Int J Environ Res Public Health, 2022
Yang Z, He S, Zhang H, Li M, Liang Y.
europepmc   +1 more source

VIASCKDE Index: A Novel Internal Cluster Validity Index for Arbitrary-Shaped Clusters Based on the Kernel Density Estimation. [PDF]

Comput Intell Neurosci, 2022
Şenol A.
europepmc   +1 more source

Optimal futures hedging strategies based on an improved kernel density estimation method. [PDF]

Soft comput, 2021
Yu X, Wang X, Zhang W, Li Z.
europepmc   +1 more source

Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions. [PDF]

Front Neurosci, 2022
Ghaderi P, Nosouhi M, Jordanic M, Marateb HR, Mañanas MA, Farina D.   +5 more
europepmc   +1 more source

Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules. [PDF]

Front Bioinform, 2021
Berberich A, Kurz A, Reinhard S, Paul TJ, Burd PR, Sauer M, Kollmannsberger P.   +6 more
europepmc   +1 more source