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86 results for “principal component analysis”
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Research ArticleOpen accessIn the abstractCardiovascular Disease Prediction using Various Machine Learning AlgorithmsDebabrata Swain, Badal Parmar, Hansal Shah et al.Almostone-third of all deaths caused around the world were caused due tocardiovascular diseases. Even if death was not the result, much cost isincurred during the treatment of such diseases. But much of these deaths andtreatments could have been prevented with prior action. Advance knowledge ofthe symptoms and consequently proper care can lead us to avoid such diseases.Thus, current research proposes … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 9,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractPollution Characteristics and Sources Analysis of Soil Heavy Metal in Taoyuan Coal Mine of Suzhou CityHaimin SuSoil is one of the most important resources and an important part of ecosystem in the development of human survival. The purposes of this study are to investigate concentration characteristics and sources analysis of heavy metals in Taoyuan coal mine of Suzhou City. 30 soil samples were collected and characterized for metal concentration (Cd, Cr, Cu, Pb, Zn and As), … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 29 Jan 2022 · 5,914 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy on Carbon Source Screening Technology for Prevention and Control of Banana Fusarium WiltJin Li, Tingting Duan, Zhong Lin et al.With the spread of banana Fusarium wilt and the aggravation of the damage, it has become the biggest threat to the banana industry. Many studies have shown that bio-organic fertilizer plays an important role in the prevention and control of banana wilt, but most studies focused on biocontrol bacterium screening, not screening carbon sources that could prevent banana wilt, which … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 5 Mar 2020 · 7,263 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 abstractFinancial and Social Inclusion and Financial Sector Development: An Outline in the EU28Domenica Federico, Maria Adele Milioli, Antonella Notte, Lucia PolettiThe paper describes the status of the European Union member countries, from the point of view of both financial and social inclusion and the development of the financial sector. The aim is to identify clusters of countries, with internally homogeneous but externally heterogeneous characteristics. The analysis shows if social exclusion and financial exclusion coexist in the same countries, considering the … …American Journal of Economics and Business Administration, Vol. 12, Issue 1 · 21 Jan 2020 · 8,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltimate Prediction of Stock Market Price MovementRebwar M. Nabi, Soran Ab. M. Saeed, Habibolah Bin Harron, Hamido FujitaInvestment in the stock market is currently very popular due to its economic gain. Numerous researchers’ and academicians’ work is focused on financial time series prediction due to its data availability and profitability. Therefore, this study presents the design and implementation of a novel binary classification framework to predict stock market trends. The framework is composed of data preprocessing, feature … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 8,545 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
Research ArticleOpen accessIn the abstractChemotaxonomy of Indonesian Citrus maxima based on Leaf Essential OilsRatna Susandarini, Rugayah, Lauretius Hartanto Nugroho, Siti SubandiyahPummelo (Citrus maxima) is one of true citrus species originated from South East Asian regions. Pummelo is known as having high morphological diversity, but lacking of comprehensive publications documenting chemical diversity. The objectives of this study were to reveal essential oil diversity and its implication on the chemotaxonomy of the species. Leaves from forty individual plants were collected from seven … …OnLine Journal of Biological Sciences, Vol. 16, Issue 1 · 29 Dec 2015 · 8,098 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 abstractFACIAL FEATURE EXTRACTION TECHNIQUES FOR FACE RECOGNITIONRahib H. AbiyevFace recognition is one of the biometric techniques used for identification of humans. The design of the face recognition system includes two basic steps. The first step is the extraction of the image's features and the second one is the classification of patterns. Feature extracting is a very important step in face recognition. The recognition rate of the system depends … …Journal of Computer Science, Vol. 10, Issue 12 · 23 Dec 2014 · 10,328 accessesView PDFCite