Results 61 to 70 of about 1,131,696 (312)
A Model for Identifying Road Risk Class
Transport and Telecommunication, 2023 In many road safety, traffic management, and travel planning analyses, it is useful to classify road sections according to risk level. Such classification is labour-intensive and needs to be reviewed periodically.
Ryguła Artur +2 more
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Landslide Hazard Analysis Using a Multilayered Approach Based on Various Input Data Configurations
Geosfera Indonesia, 2021 Landslide is a natural disaster that occurs mostly in hill areas. Landslide hazard mapping is used to classify the prone areas to mitigate the risk of landslide hazards.
Ilyas Ahmad Huqqani +2 more
doaj +1 more source
, 2012 Linear principal component analysis (PCA) can be extended to a nonlinear PCA by using artificial neural networks. But the benefit of curved components requires a careful control of the model complexity.
A Herman +26 more
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PCA of PCA: Principal Component Analysis of Partial Covering Absorption in NGC 1365 [PDF]
, 2014 We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components.
Fabian, A. C. +3 more
core +2 more sources
Molecular Oncology, EarlyView.ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
PCA and t-SNE Implementation for KNN Hypertension Classification Visualization
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Hypertension is a condition that, if allowed to increase, can significantly injure internal organs due to high blood pressure. The objective of this study is to use the K-Nearest Neighbor (KNN) algorithm along with PCA and t-SNE to accurately identify ...
Andi Aulia Cahyana Resky +4 more
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N-Dimensional Principal Component Analysis [PDF]
, 2010 In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
core
The Turbulence Spectrum of Molecular Clouds in the Galactic Ring Survey: A Density-Dependent PCA Calibration [PDF]
, 2011 Turbulence plays a major role in the formation and evolution of molecular clouds. The problem is that turbulent velocities are convolved with the density of an observed region.
Brunt, Christopher +5 more
core +2 more sources
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Turkish Journal of Agriculture: Food Science and TechnologyBu çalışmada, Denizli ili Tavas ilçesinde doğal olarak yetişen 38 badem genotipinin pomolojik ve kolorimetrik özellikleri incelenmiştir. İncelenen genotiplerde meyve ağırlığı 3,00-6,87 g, iç ağırlığı 0,26-1,98 g ve iç oranı %13,26-43,30 arasında değişim ...
Levent Kırca
doaj +1 more source