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86 articles for “Principal Component Analysis”
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Research ArticleOpen accessIn the abstractThe Impact of Information System Quality on the Organizational Effectiveness and the Financial Reporting QualityA. B. M. Yasir Arafat, Sultana Akter, Mohammad Jonaed Kabir et al.The purpose of this research is to assess the contribution of information system quality to organizational effectiveness and financial reporting quality prepared by commercial banks in Bangladesh. For this purpose, a survey is conducted to gather information from 240 people by purposefully sampling method about their experiences in information system quality, the effectiveness of their organization, and the financial reporting … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Nov 2024 · 4,629 accessesView PDFCite
Review ArticleOpen accessIn the abstractMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder NeuroimagesMeenakshi Malviya, Chandra J, Nagendra NHigh-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied … …Journal of Computer Science, Vol. 20, Issue 11 · 28 Sep 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite
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
Research ArticleOpen accessIn the abstractA New Disease Index Based on Multi-Spectra of UAV to Estimate Cotton DiseaseBing Chen, Jing Wang, Qiong Wang et al.Verticillium wilt is a significant disease that affects cotton plants, which can lead to stunted growth and reduced yield. To address this, a multi-spectral comprehensive monitoring disease index model is developed using an Unmanned Aerial Vehicle (UAV) to monitor the severity of cotton Verticillium wilt. First, multi-spectral dates were collected from Hexacopter (HY-6X) and the phenotype disease grade of cotton … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Mar 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence and Risk Factors of Bovine Fascioliasis in Northeastern PeruClavel Diaz-Quevedo, Hugo Frias et al.Bovine fascioliasis in Peru is highly prevalent in almost all regions; however, there are few studies about its prevalence in the region of Amazonas. This research aimed to determine the prevalence and risk factors associated with fascioliasis from four livestock basins in the Amazonas region. A total of 941 bovine feces samples were analyzed and a prevalence of 52% was … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 25 Jul 2023 · 5,685 accessesView PDFCite
Research ArticleOpen accessIn the abstractBacterial Diversity and Community Structure Characteristics in Rhizosphere Soil of Coconut (Cocos nucifera L.) under Intercropping PineappleLilan Lu, Hui Zhu, Yingying Liu et al.To explore the bacterial diversity and community structure characteristics of the rhizosphere soil of fruit type coconuts of different varieties under the intercropping pineapple model, the Illumina high throughput sequencing technology was used to detect the composition and diversity of soil microorganisms. Furthermore, the correlation between the physical and chemical properties of soil and the characteristics of the rhizosphere soil … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 16 Feb 2023 · 5,745 accessesView PDFCite
Research ArticleOpen accessIn the abstractAir Quality Interpretation of Four Geographically Distinct Hot Spot States of India-An Appraisal Using Aerosol Optical Depth and Particulate MatterJacob Joshua, Aishwarya Sathyachandran, Chenicherry House SujathaThe application of Moderate Resolution Imaging Spectroradiometer-Aerosol Optical Depth (MODIS-AOD) for Air Quality (AQ) assessment has contributed significantly by making use of a spatiotemporal relationship between ground-level particulate matter and aerosol optical density at both city and state levels. Traditional ground-based site-specific particulate matter monitoring method has found a profound gap in their spatial coverage. Such challenging situations prevail over … …American Journal of Environmental Sciences, Vol. 18, Issue 6 · 8 Feb 2023 · 5,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractWild Allium longicuspis Regel is a Feral Form of Allium sativum L. in Kazakhstan: A Comparative Molecular Genetic AnalysisAkerke Tokenova, Gulnar Sitpayeva et al.The genus Allium L comprises over 1000 species with important nutritional, medicinal and horticultural applications. The natural flora of Kazakhstan is rich in Allium species, including the wild long-pointed onion, A. longicuspis and cultivated A. sativum garlic varieties. It has been hypothesized that A. longicupis is ancestral to A. sativum. We investigated genetic polymorphism in samples of A. longicupis and … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 26 Dec 2022 · 6,490 accessesView PDFCite