Results 121 to 130 of about 29,752 (189)

Kernel PCA for novelty detection

, 2017
Novelty detection indexes are used in order to identify anomaly in the observation of a phenomenon. We describe the basic idea of kernel principal component analysis, a method which enlightens the existence of a novelty in a measured value comparing it with the one predicted by a model calibrated on training data.
openaire   +1 more source

Nonlinear dynamic process monitoring based on dynamic kernel PCA

Nonlinear dynamic process monitoring based on dynamic kernel principal component analysis (DKPCA) is proposed. The kernel functions used in kernel PCA (KPCA) are profitable for capturing nonlinear property of processes and the time-lagged data extension ...
Choi SW, Lee I-B
core  

Comparative effects of natural and functional lipid sources on physicochemical, textural, sensory, and nutritional lipid indices of spreadable processed cheese analogue. [PDF]

Sci Rep
Hamdy SM, Metwally AA, Deghedi MA, Abdelmontaleb HS.   +3 more
europepmc   +1 more source

Comprehensive analysis of enzymatic browning in hazelnuts (<i>Corylus avellana</i> L.): influence of physical-biochemical, cultivar and agroclimatic parameters on nut development. [PDF]

Front Plant Sci
Gavilán-CuiCui G, Padilla-Contreras D, Ruiz A, González F, Morina F, Meriño-Gergichevich C.   +5 more
europepmc   +1 more source

Screening of Almond Germplasm for Bioactive-Rich Skin Recovery and Application of Liquid Nitrogen Peeling. [PDF]

Foods
Pesce F, Spagna G, Parafati L, Todaro A, Distefano G, Luca L, Palmeri R.   +6 more
europepmc   +1 more source

Morphological diversity of Chinese chinquapin (Castanea henryi (Skan) Rehder & E.H. Wilson) germplasm. [PDF]

BMC Plant Biol
Zhu Z, Xu B, Zhao J, Wang L, Gao C, Wang J, Li J.   +6 more
europepmc   +1 more source

Quantum circuit complexity and unsupervised machine learning of topological order. [PDF]

Nat Commun
Che Y, Gneiting C, Wang X, Nori F.
europepmc   +1 more source

Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds. [PDF]

Gigascience
Mas-Gómez J, Rubio M, Dicenta F, Martínez-García PJ.   +3 more
europepmc   +1 more source

ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms. [PDF]

Plant Genome
Raihan T, Kim CH, Shimono H, Kimura A, Iwata H.   +4 more
europepmc   +1 more source

A review of multi-omics integration techniques across five machine learning method families. [PDF]

Bioinform Adv
Olowolayemo A, Souag A, Sirlantzis K, Turner S, Wilson C.   +4 more
europepmc   +1 more source