Results 71 to 80 of about 465,256 (146)

PREDICTION INDONESIA COMPOSITE INDEX USING INTEGRATION DECOMPOSITION- NEURAL NETWORK ENSEMBLE DURING VUCA ERA

open access: yesBarekeng
The Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) era causes turmoil in the capital markets, stocks, commodities, etc. The impact is a decline in the Composite Stock Price Index (IHSG) in 2020.
Imelda Saluza   +3 more
doaj   +1 more source

PCa-TMA KPNA4 staining.xlsx

open access: yes, 2016
This sheet includes the cell counting data of KPNA4 positive and negative cells of every cases of PCa.3 random area were of each cases were selected for cell counting.
Jian Yang (717691)
core   +1 more source

Elevated YKL40 is associated with advanced prostate cancer (PCa) and positively regulates invasion and migration of PCa cells [PDF]

open access: yes, 2014
Chitinase 3-like 1 (CHI3L1 or YKL40) is a secreted glycoprotein highly expressed in tumours from patients with advanced stage cancers, including prostate cancer (PCa).
Jeet, Varinder   +4 more
core   +1 more source

Multivariate analysis of seasonal variation in the composition and thermal properties of butterfat with an emphasis on authenticity assessment

open access: yesGrasas y Aceites, 2016
The aim of this study was to analyze the seasonal variation in the composition and thermal properties of butterfat (BF) in order to evaluate the applicability of differential scanning calorimetry (DSC) for the authenticity assessment of butter.
J. Tomaszewska-Gras
doaj   +1 more source

Estimation of Soil Organic Matter on Paddy Field using Remote Sensing Method

open access: yesSains Tanah: Journal of Soil Science and Agroclimatology, 2019
Soil organic matter (SOM) is one of the important parameters in agriculture management, thus estimating its distribution on the land will be essential. Remote sensing can be utilized to map the SOM distribution in the large-scale area.
Luthfan Nur Habibi   +4 more
doaj   +1 more source

PCA in High Dimensions: An orientation

open access: yesProceedings of the IEEE, 2018
When the data are high dimensional, widely used multivariate statistical methods such as principal component analysis can behave in unexpected ways. In settings where the dimension of the observations is comparable to the sample size, upward bias in ...
I. Johnstone, D. Paul
semanticscholar   +1 more source

Genalex-distance-matrix-and-PCA

open access: yes, 2017
Distance matrix input file for the program GenAlEx, and output from PCA analysis using default ...
Oyler-McCance, Sara J.   +7 more
core   +1 more source

A Hybrid Approach to Music Recommendations Based on Audio Similarity Using Autoencoder and LightGBM

open access: yesJournal of Applied Informatics and Computing
Music recommendation systems help users navigate large music collections by suggesting songs aligned with their preferences. However, conventional methods often overlook the depth of audio content, limiting personalization and accuracy.
Winda Ardelia Aristawidya, Majid Rahardi
doaj   +1 more source

Sparse PCA Corrects for Cell-Type Heterogeneity in Epigenome-Wide Association Studies

open access: yesNature Methods, 2016
In epigenome-wide association studies (EWAS), different methylation profiles of distinct cell types may lead to false discoveries. We introduce ReFACTor, a method based on principal component analysis (PCA) and designed for the correction of cell type ...
Elior Rahmani   +10 more
semanticscholar   +1 more source

Hybrid Compression of Hyperspectral Images Based on PCA With Pre-Encoding Discriminant Information

open access: yesIEEE Geoscience and Remote Sensing Letters, 2015
It has been shown that image compression based on principal component analysis (PCA) provides good compression efficiency for hyperspectral images.
Chulhee Lee   +4 more
semanticscholar   +1 more source

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