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47 results for “Discriminant Analysis”
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Research ArticleOpen accessIn the keywordsAn Efficient Implementation of Weighted Fuzzy Fisherface Algorithm for Face Recognition Using Wavelet TransformEsther Annlin Kala James, S. AnnaduraiProblem statement: The paper addresses the face recognition problem by proposing Weighted Fuzzy Fisherface (WFF) technique using biorthogonal transformation. The weighted fuzzy fisherface technique was an extension of Fisher Face technique by introducing fuzzy class membership to each training sample in calculating the scatter matrices. Approach: In weighted fuzzy fisherface method, weight emphasizes classes that were close together and deemphasizes … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,345 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving the Performance of Machine Learning Based Multi Attribute Face Recognition Algorithm Using Wavelet Based Image Decomposition TechniqueS. Sakthivel, M. RajaramProblem statement: Recognizing a face based attributes is an easy task for a human to perform; it is closely automated and requires little mental effort. A computer, on the other hand, has no innate ability to recognize a face or a facial feature and must be programmed with an algorithm to do so. Generally, to recognize a face, different kinds … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Application of Multivariate Analysis in Modeling Students Placement in Nigerian Higher InstitutionsAli Idrisa Gambo, Mohammed Waziri YusufProblem statement: Students’ placement into courses of study in most (if not all) tertiary institutions in Nigeria had long been a problematic exercise. Most students get placed into courses of study they are ill suited to and then for which they are ill prepared. Approach: This research focused on the polytechnic, taking the newest federal polytechnic as a case study, … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,289 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison of Pre-Processing and Classification Techniques for Single-Trial and Multi-Trial P300-Based Brain Computer InterfacesChanan S. Syan, Randy E.S. HarnarinesinghThe P300 component of Event Related Brain Potentials (ERP) is commonly used in Brain Computer Interfaces (BCI) to translate the intentions of an individual into commands for external devices. The P300 response, however, resides in a signal environment of high background noise. Consequently, the main problem in developing a P300-based BCI lies in identifying the P300 response in the presence … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Supervised Classification Algorithms for Mangrove Detection and Differentiation from Other Forest Types in Paiton District, Probolinggo RegencyKaruniawan Puji Wicaksono, Fathor Rohman, Yasushi MitsudaRemote sensing provides an effective approach for monitoring forest cover dynamics, yet distinguishing mangroves from other forest types remains challenging in heterogeneous coastal landscapes. This study compares six supervised classification algorithms: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Mixture Discriminant Analysis (MDA), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) for mangrove detection in Paiton, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 1 Sep 2026 · 844 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Behavioral Intention to Adopt Online Tax Return in BangladeshMustafa Manir Chowdhury, Kulsuma Aktar, Mohammad Toufiqur Rahman et al.Tax e-filing, which allows individuals to submit their taxes electronically to the government, is a key e-government service increasingly adopted in developed countries. Bangladesh, a developing nation, has recently introduced online tax filing. This study aims to explore the factors influencing the adoption of online tax returns, focusing on awareness, accessibility, benefits, costs, and their impact on the future of … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 5,104 accessesView PDFCite
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
Research ArticleOpen accessIn the abstractProfiling the Volatile Compound of Indonesian Rendang Using GC-MS/MS AnalysisDaimon Syukri, Abdi, Tuty Anggraini et al.Rendang is an indigenous food from west Sumatra with a distinct flavor and aroma. Different rendang production methods have an impact on its sensory qualities, including flavor and aroma. Finding the volatile substances that distinguish the aroma of each rendang was the aim of this investigation. In this experiment, five distinct Indonesian rendangs were used. Using the Head Space-Solid Phase … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 13 Nov 2023 · 6,353 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Machine Learning-Based Algorithms to Predict the Early Childhood Development Among Under Five Children in BangladeshMd. Ismail Hossain, Iqramul Haq, Ashis Talukder et al.In this research, an effort has been made to apply a number of classifiers to predict Early Child Development (ECD) in the context of Bangladesh using the Bangladesh multiple indicator cluster survey, 2019 data set (i.e., to evaluate which sort of algorithm best identifies ECDI). To predict the ECD, nine well-known machine learning algorithms were applied, including Linear Regression (LR), … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rotten Fresh-Cut Cauliflowers based on Machine Vision Technology and Watershed Segmentation MethodJianxin Xue, Liang Huang, Bingyu Mu et al.In this study, machine vision technology was used to separate the samples and detect the rotting degrees of fresh-cut cauliflowers. First, the improved watershed algorithm was used for the segmentation of fresh-cut cauliflower samples and the extraction of single-sample. Then, three color models, a gray co-occurrence matrix and two feature extraction algorithms were used to extract the color, texture and … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 13 Apr 2022 · 6,083 accessesView PDFCite