Compression Method of NMR Echo Data Obtained From Complex Pore Structure Formation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3162668
Abstract: To reduce the redundancy of nuclear magnetic resonance (NMR) echo data, kernel principal component analysis (KPCA) is used in the compression. The algorithm of data compression using KPCA is introduced in detail, and the specific… read more here.
Keywords: complex pore; kpca based; echo data; nmr echo ... See more keywords
Forecasting tourism demand with KPCA-based web search indexes
Sign Up to like & getrecommendations! Published in 2020 at "Tourism Economics"
DOI: 10.1177/1354816619898576
Abstract: Search query data (SQD) can be helpful in predicting tourism demand by generating web search indexes. However, valuable nonlinear information in SQD may be neglected by researchers. To effectively capture the nonlinear information, we used… read more here.
Keywords: web search; search; kpca based; search indexes ... See more keywords
Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13081466
Abstract: This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem by combining the kernel principal component analysis (KPCA) and one-class support vector machine (OCSVM).… read more here.
Keywords: semi supervised; detecting covid; kpca based; blood test ... See more keywords