Mining transcriptome data to identify genes and pathways related to lemon taste using supervised and unsupervised data learning methods
Sign Up to like & getrecommendations! Published in 2021 at "Horticulture Environment and Biotechnology"
DOI: 10.1007/s13580-021-00337-y
Abstract: There is a dearth of studies on the genes engaged in citrus taste. Unraveling the major genes involved in pathways related to the taste of citrus (sweet or acidic) is highly important for developing new… read more here.
Keywords: probe sets; using supervised; pathways related; taste ... See more keywords
Assessing Observability using Supervised Autoencoders with Application to Tennessee Eastman Process
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.122
Abstract: Abstract This work presents a novel approach to calculate classification observability using a supervised autoencoder (SAE) neural network (NN) for classification. This metric is based on a minimal distance between every two classes in the… read more here.
Keywords: using supervised; tennessee eastman; process; observability using ... See more keywords
Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset
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DOI: 10.1038/s41597-021-01016-4
Abstract: Diffuse solar radiation is an important, but understudied, component of the Earth’s surface radiation budget, with most global climate models not archiving this variable and a dearth of ground-based observations. Here, we describe the development… read more here.
Keywords: using supervised; year; radiation; dataset ... See more keywords
A Fully-Automated Framework for Mineral Identification on Martian Surface Using Supervised Learning Models
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DOI: 10.1109/access.2023.3243061
Abstract: The availability of various spectral libraries for CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) data on NASA PDS (Planetary Data System) hugely facilitated the research on the surface mineralogy of Mars, however, building supervised learning… read more here.
Keywords: supervised learning; using supervised; learning models; automated framework ... See more keywords