Numerical simulation of telegraph and Cattaneo fractional‐type models using adaptive reproducing kernel framework
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.6998
Abstract: In this article, a class of generalized telegraph and Cattaneo time‐fractional models along with Robin's initial‐boundary conditions is considered using the adaptive reproducing kernel framework. Accordingly, a relatively novel numerical treatment is introduced to investigate… read more here.
Keywords: reproducing kernel; kernel framework; adaptive reproducing; kernel ... See more keywords
An improved composite kernel framework for hyperspectral image classification using canonical correlation analysis
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2018.1563838
Abstract: ABSTRACT This letter presents an improved method of composite kernel framework for hyperspectral image (HSI) classification where we apply canonical correlation analysis (CCA) in the process of combining the spectral and spatial information. This method… read more here.
Keywords: kernel framework; hyperspectral image; composite kernel; framework hyperspectral ... See more keywords
kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2021.609048
Abstract: The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e., prediction of a phenotype of interest) from taxonomic abundances has become… read more here.
Keywords: kernel framework; kernint kernel; framework integrating; integrating supervised ... See more keywords