High dimensionality of stoichiometric niches in soil fauna.
Sign Up to like & getrecommendations! Published in 2022 at "Ecology"
DOI: 10.1002/ecy.3741
Abstract: The ecological niche is a fundamental concept to understand species coexistence in natural communities. The recently developed framework of the multidimensional stoichiometric niche (MSN) characterizes species niches using chemical elements in living organisms. Despite the… read more here.
Keywords: ten elements; soil fauna; high dimensionality; dimensionality ... See more keywords
An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality
Sign Up to like & getrecommendations! Published in 2020 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2020.04.008
Abstract: Abstract The greater interest of research in the field of bioinformatics and the ample amount of available data across the different domains paved the way for the generation of the dataset with high dimensionality. The… read more here.
Keywords: colossal closed; mining; dataset high; high dimensionality ... See more keywords
A Distributed Approach for High-Dimensionality Heterogeneous Data Reduction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2945889
Abstract: The recent explosion of data size in number of records and attributes has triggered the development of a number of Big Data analytics as well as parallel data processing methods and algorithms. At the same… read more here.
Keywords: high dimensionality; approach high; reduction; heterogeneous data ... See more keywords
Unsupervised segmentation of biomedical hyperspectral image data: tackling high dimensionality with convolutional autoencoders
Sign Up to like & getrecommendations! Published in 2022 at "Biomedical Optics Express"
DOI: 10.1364/boe.476233
Abstract: Information about the structure and composition of biopsy specimens can assist in disease monitoring and diagnosis. In principle, this can be acquired from Raman and infrared (IR) hyperspectral images (HSIs) that encode information about how… read more here.
Keywords: spatio spectral; segmentation; high dimensionality; end ... See more keywords
An improved approach for fault detection by simultaneous overcoming of high-dimensionality, autocorrelation, and time-variability
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0243146
Abstract: The control charts with the Principal Component Analysis (PCA) approach and its extension are among the data-driven methods for process monitoring and the detection of faults. Industrial processing data involves complexities such as high dimensionality,… read more here.
Keywords: detection; fault detection; autocorrelation; high dimensionality ... See more keywords