Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

26 results for “principal components analysis”
Set a search alert
Research ArticleOpen accessIn the abstractVisible Derivative Spectroscopic Monitoring of the Old Woman Creek National Estuary During a Historically Dry Year and a Wet YearLorita Nivanthi Mihindukulasooriya, Brenna Shae Mabry, Madison Slocum, Joseph Daniel OrtizVisible derivative spectroscopy was used to interpret the sediment and phytoplankton assemblages within the old woman creek natural estuarine reserve during the summers of 2016 and 2017. A Varimax-rotated Principal Component Analysis (VPCA) of reflectance data collected from four sampling sites in 2016 identified three Varimax-rotated Principal Components (VPCs): Diatom + Illite (2016-VPC 1), Dinoflagellate Algae + Cyanobacteria + Cryptophytes … …American Journal of Environmental Sciences, Vol. 19, Issue 6 · 11 Jul 2024 · 4,669 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe use of Principal Component Regression and Time Series Analysis to Predict Nitrous Oxide Emissions in GhanaBenjamin Odoi, Lewis Brew, Christopher AttafuahThe disturbing pace of emanation of Nitrous Oxide (N2O) into the atmosphere and its calamitous impact on the environment, as monitored by many governmental agencies and researchers has become a wellspring of worry for many nations and therefore needs due attention. The study deployed nitrous oxide emissions from the three sectors to the total nitrous oxide emissions in Ghana over … …Energy Research Journal, Vol. 12, Issue 1 · 6 Jan 2021 · 8,597 accessesView PDFCite
Research ArticleOpen accessIn the abstractMissing Values Treatment and Feature Reduction Analysis to Enhance ClassificationD. Muralidharan, K. Renuka, Mulagala Jaswant et al.Datasets may have large number of features which makes it hard and time consuming to classify. Additionally, they may have irrelevant and noise features too with missing values. The missing values should be treated in a proper way so that the classifier accuracy can be improved. There is also a need to reduce features and select only the features necessary … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,114 accessesView PDFCite
Research ArticleOpen accessIn the abstractDirect Sequence and Frequency Hopping Signals Classification Based on Co-Occurrence Matrix and Clustering TechniquesHaidy S. Fouad, Hend A. Elsayed, Shawkat K. GirgisSpread Spectrum techniques (SS) were first developed for military applications, but currently, they have commercial applications. SS provides secure communication and allows multiple accesses for same radio spectrum. So, most Wireless Local Area Network (WLAN) systems use it, as do Cognitive Radios (CR), space systems and Global Positioning Systems (GPS). Direct Sequence Spread Spectrum (DSSS) and frequency hopped spread spectrum … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractUpdates on Nutritional Diversity in Sphenostylis stenocarpa (Hoechst ex. A. Rich.) Harms. for Food Security and ConservationCatherine Veronica Nnamani, Sunday Adesola Ajayi, Happiness Ogba Oselebe et al.Neglected and underutilized plant genetic resources constitute opportunity for diversification of food and environmental services globally, particularly within communities in developing country. They can provide, in some cases, higher nutrient content than traditional globally accepted staples commonly consumed. Currently, with climate uncertainty and the desire and challenge for sustainably produced food, there is an urgent need to promote crop diversity. … …American Journal of Agricultural and Biological Sciences, Vol. 13, Issue 1 · 10 Jul 2018 · 9,336 accessesView PDFCite
Case ReportOpen accessIn the abstractBending Stress and Deflection Analysis of Meshing Spur Gear Tooth during the Single Tooth Contact with Finite Element Method and Determination of the Bending StiffnessAntonios D. Tsolakis, Konstantinos G. Raptis, Maria D. MargaritouPurpose of this study is the study of loading and contact problems encountered at rotating machine elements and especially at tooth gears. Tooth gears are some of the most commonly used mechanical components for rotary motion and power transmission. This fact proves the necessity for improved reliability and enhanced service life, which requires precise and clear knowledge of the stress … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 3 Jun 2017 · 7,642 accessesView PDFCite
Research ArticleOpen accessIn the abstractSubjective Perception and Causal Attributions for Poverty in ItalyMaurizio Norcia, Antonella RissottoDoes a relation between subjective perception of one’s own socioeconomic status and what one believes about impoverishment exist? Are people’s causal attributions for poverty related to their concern for cost of living, their evaluation of economic situation in the last 12 months or prevision for next 12 months? This paper aims at studying these relations in order to better understand … …Journal of Social Sciences, Vol. 11, Issue 2 · 16 Jun 2015 · 7,368 accessesView PDFCite
Research ArticleOpen accessIn the abstractASSESSMENT OF OIL PALM PLANTATION AND TROPICAL PEAT SWAMP FOREST WATER QUALITY BY MULTIVARIATE STATISTICAL ANALYSISSeca Gandaseca, Noraini Rosli, Mohammad Shawkat Hossain, Chandra Imam AriantoThis study reports the spatio-temporal changes in river and canal water quality of peat swamp forest and oil palm plantation sites of Sarawak, Malaysia. To investigate temporal changes, 192 water samples were collected at four stations of BatangIgan, an oil palm plantation site of Sarawak, during July-November in 2009 and April-July in 2010. Nine water quality parameters including Electrical Conductivity … …American Journal of Environmental Sciences, Vol. 10, Issue 4 · 3 Jul 2014 · 8,218 accessesView PDFCite
Research ArticleOpen accessIn the abstractHYPERPARAMETER SELECTION IN KERNEL PRINCIPAL COMPONENT ANALYSISMd. Ashad Alam, Kenji FukumizuIn kernel methods, choosing a suitable kernel is indispensable for favorable results. No well-founded methods, however, have been established in general for unsupervised learning. We focus on kernel Principal Component Analysis (kernel PCA), which is a nonlinear extension of principal component analysis and has been used electively for extracting nonlinear features and reducing dimensionality. As a kernel method, kernel PCA … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,721 accessesView PDFCite