Results 1 to 10 of about 1,079,840 (321)

Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition

open access: yesFrontiers in Computer Science, 2021
Human emotion recognition is an important issue in human–computer interactions, and electroencephalograph (EEG) has been widely applied to emotion recognition due to its high reliability.
Weili Guo   +6 more
doaj   +1 more source

Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated

open access: yesScientific Reports, 2022
Principal Component Analysis (PCA) is a multivariate analysis that reduces the complexity of datasets while preserving data covariance. The outcome can be visualized on colorful scatterplots, ideally with only a minimal loss of information.
E. Elhaik
semanticscholar   +1 more source

Tutorial on PCA and approximate PCA and approximate kernel PCA

open access: yesArtificial Intelligence Review, 2022
Principal Component Analysis (PCA) is one of the most widely used data analysis methods in machine learning and AI. This manuscript focuses on the mathematical foundation of classical PCA and its application to a small-sample-size scenario and a large ...
S. Marukatat
semanticscholar   +1 more source

Melissopalynology analysis, determination of physicochemical parameters, sugars and phenolics in Maltese honey collected in different seasons [PDF]

open access: yesJournal of the Serbian Chemical Society, 2022
Malta, a country renowned for its honey, has not been extensively mentioned in studies based on honey. In addition to many parameters, the collection period affects honey quality, precisely due to the different floral composition that exists during a ...
Bugeja Douglas Adrian   +9 more
doaj   +1 more source

Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2022
As hyperspectral imagery (HSI) contains rich spectral and spatial information, a novel principal component analysis (PCA) and segmented-PCA (SPCA)-based multiscale 2-D-singular spectrum analysis (2-D-SSA) fusion method is proposed for joint spectral ...
Hang Fu   +4 more
semanticscholar   +1 more source

Bazı Tescilli Nohut Çeşitlerinin Elek Analiz Değerleri

open access: yesTurkish Journal of Agriculture: Food Science and Technology, 2021
Ülkemizde nohut hem yaş hem de kuru olarak farklı süreçlerden geçerek tüketilmektedir. Tüketimde tercihen iri taneli nohutlar tercih edilirken 6 mm elek altı genellikle tercih edilmemektedir.
Hamdi Özaktan
doaj   +1 more source

Upregulated wnt-11 and mir-21 expression trigger epithelial mesenchymal transition in aggressive prostate cancer cells [PDF]

open access: yes, 2020
Prostate cancer (PCa) is the second-leading cause of cancer-related death among men. microRNAs have been identified as having potential roles in tumorigenesis.
Arisan, E.D.   +15 more
core   +1 more source

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2018
As an unsupervised dimensionality reduction method, the principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral image (HSI) processing and analysis tasks.
Junjun Jiang   +5 more
semanticscholar   +1 more source

Prioritising sub-watersheds using morphometric analysis, principal component analysis, and land use/land cover analysis in the Kinnerasani River basin, India

open access: yesH2Open Journal, 2022
Due to the depletion of natural resources including land and water as a result of rapid population increase, industrialisation, and urbanisation, effective resource management is essential for long-term development. The Kinnerasani Watershed in Telangana
Padala Raja Shekar, Aneesh Mathew
doaj   +1 more source

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

open access: yesElectronics, 2020
The enormous popularity of the internet across all spheres of human life has introduced various risks of malicious attacks in the network. The activities performed over the network could be effortlessly proliferated, which has led to the emergence of ...
S. Bhattacharya   +7 more
semanticscholar   +1 more source

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