Results 61 to 70 of about 465,256 (146)

Prioritization of watershed through morphometric parameters: a PCA-based approach

Applied Water Science, 2017
Remote sensing (RS) and Geographic Information Systems (GIS) techniques have become very important these days as they aid planners and decision makers to make effective and correct decisions and designs.
S. Meshram, S. Sharma
semanticscholar   +1 more source

martaajarzyna/PCA-ForAnalysisOfBiodiversityChange: First release of PCA for biodiversity assessments (Jarzyna and Stagge)

, 2022
This is the code for using Principal Component Analysis (PCA) for assessments of change in multiple facets of biodiversity (manuscript in review by Jarzyna and Stagge)
Marta Jarzyna
core   +1 more source

Le fait du prince comme cause d’admission au régime de force majeure en droit minier congolais : notion, portée et implications [PDF]

Mouvements et Enjeux Sociaux
La succession d’évènements tragiques au cours des XX et XXIe siècles a mis en évidence l’importance de la gestion des risques avec notamment des risques industriels, financiers, sociétaux (les soulèvements), sanitaires (pandémie de covid-19), ou encore ...
Patrick BONDONGA LESAMBO , Kevin ESHIMATA NGIMBI   +1 more
doaj  

Dimensionality Reduction and Classification of Dermatological Images using PCA and Machine Learning [PDF]

EPJ Web of Conferences
Skin diseases pose grave diagnosis issues since they are highly similar among classes and have varied patterns over the various skin colors, particularly in Indian subjects. The current work proposes a mixed strategy using transfer learning-based feature
Surwadkar Tushar, Deshmukh Sujata
doaj   +1 more source

PCA as a practical indicator of OPLS-DA model reliability

Current Metabolomics, 2016
Background Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) are powerful statistical modeling tools that provide insights into separations between experimental groups based on high ...
Bradley Worley, R. Powers
semanticscholar   +1 more source

PCA-adegenet_neutralSNPs

, 2015
Input file for PCA in adgenet for all populations; 5,007 putatively adaptive ...
Hecht, Benjamin Charles, Shawn R. Narum (3244473), Matala, Andrew P., Jon E. Hess (3244476), Benjamin Charles Hecht (3246096), Hess, Jon E., Narum, Shawn R., Andrew P. Matala (3246099)   +7 more
core   +1 more source

Evaluation of tomato hybrid lines adapted to lowland

Open Agriculture
Improving tomato fruit characteristics is a crucial step to address the decline in production, which is primarily caused by biotic stress and the limited adaptability of existing varieties in lowland areas.
Amal Muh. Alfan Ikhlasul, Farid Muh., Anshori Muhammad Fuad   +2 more
doaj   +1 more source

Klasifikasi asal geografis kopi bubuk liberika tungkal Jambi dan Probolinggo menggunakan near-infrared spectroscopy (NIRS) dan principal component analysis (PCA)

Agrointek
Regional origin classification of Geographical Indication (GI) products is necessary for their authentication purpose. Among others, coffee is Indonesia's largest GI group, with Liberica being the least studied.
Ikhsan Nurdziky, Anggoro Cahyo Sukartiko, Nafis Khuriyati   +2 more
doaj   +1 more source

ROC curve by the B-2D-PCA-R MSM and the MSM-based method [11] for dataset 1.

, 2021
ROC curve by the B-2D-PCA-R MSM and the MSM-based method [11] for dataset 1.
Yumi Iwashita (11261748), Ryo Kurazume (9529108), Adrian Stoica (9297896), Hitoshi Sakano (11261751)   +3 more
core   +1 more source

Local PCA Shows How the Effect of Population Structure Differs Along the Genome

Genetics, 2016
Principal component analysis (PCA) is often used to describe overall population structure—patterns of relatedness arising from past demographic history—among a set of genomes. Here, Li and Ralph describe how the patterns uncovered by....
Han Li, Peter L. Ralph
semanticscholar   +1 more source