Results 1 to 10 of about 1,079,840 (321)
Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition
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
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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
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]
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
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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
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]
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]
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
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
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A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU
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

