Groundwater Contaminant Identification and Modelling Using Principal Component Analysis and Geostatistical Techniques

doi 10.7176/jnsr/9-24-05
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

International Institute for Science, Technology and Education

Related search

Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques

IJARCCE
2015English

Finger Knuckle Identification Using Principal Component Analysis and Nearest Mean Classifier

International Journal of Computer Applications
2013English

Musical Instrument Identification Using Principal Component Analysis and Multi-Layered Perceptrons

2008English

Identification of 6 Dermatomyositis Subgroups Using Principal Component Analysis‐based Cluster Analysis

International Journal of Rheumatic Diseases
Rheumatology
2019English

Estimation of Historical Groundwater Contaminant Distribution Using the Adjoint State Method Applied to Geostatistical Inverse Modeling

Water Resources Research
Water ScienceTechnology
2004English

Evaluation of Total Groundwater Abstraction From Public Waterworks in Denmark Using Principal Component Analysis

Geological Survey of Denmark and Greenland Bulletin
Geology
1969English

Statistical Analysis of Mitochondrial Pathologies in Childhood: Identification of Deficiencies Using Principal Component Analysis

Laboratory Investigation
Forensic MedicinePathologyCell BiologyMolecular Biology
2000English

Fake Review Detection Using Principal Component Analysis and Active Learning

International Journal of Computer Applications
2019English

Principal Component Analysis

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy