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49 results for “Principal Component Analysis (PCA)”

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Research ArticleOpen accessIn the keywordsA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBreast Cancer Grading using Machine Learning Approach AlgorithmsHiba Nabeel Zalloum, Saada Al Zeer, Amir Manassra et al.Recently, Breast Cancer (BC) becomes a more common cancer disease in women and it considers the most important sign which leads to death among women. Therefore, it requires efficient methods for detecting it to reduce the risk of death. A positive prognosis and greater chances of survival are improved if the BC is detected early. Currently, machine learning plays an … …Journal of Computer Science, Vol. 18, Issue 12 · 22 Dec 2022 · 6,610 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFusion of Features and Extreme Learning Machine for Facial Expression RecognitionBayezid Islam, Arfat HossainHuman emotion is highly correlated to facial expressions. Due to its growing demand in different sectors, an emotion recognition method is proposed through recognizing facial expressions. The input image is preprocessed and then the resulting image is segmented into four facial expression regions following the newly proposed segmentation method. Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) are … …Journal of Computer Science, Vol. 15, Issue 12 · 28 Dec 2019 · 7,404 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign an Advance Computer-Aided Tool for Image Authentication and ClassificationRozita Teymourzadeh, Amirize Alpha Laadi, Yazan Samir Algnabi et al.Over the years, advancements in the fields of digital image processing and artificial intelligence have been applied in solving many real-life problems. This could be seen in facial image recognition for security systems, identity registrations. Hence a bottleneck of identity registration is image processing. These are carried out in form of image preprocessing, image region extraction by cropping, feature extraction … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Effective System for Acute Spotting Aberration in the Speech of Abnormal Children Via Artificial Neural Network and Genetic AlgorithmC. R. Bharathi, V. ShanthiProblem statement: In real-world environment, speech signal processing plays a vital role among the research communities. A wide range of researches are carried out in this field for denoising, enhancement and more. Besides the other, stress management is important to identify the spot in which the stress has to be made. Approach: In this study, in order to provide proper … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,748 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImpact of Shrimp Farm Effluent on Water Quality in Coastal Areas of the World Heritage-Listed Ha Long BayThuyet D. Bui, Jim Luong-Van, Chris M. AustinProblem statement: Shrimp farming has rapidly developed in coastal areas of the World Heritage-listed Ha Long Bay since the last decade. Effluent discharged from shrimp farms with high levels of nutrient waste may cause eutrophication in receiving waterways. Therefore, assessing water quality at tidal creeks receiving shrimp farm effluent in coastal areas of Ha Long Bay supports environmental protection and … …American Journal of Environmental Sciences, Vol. 8, Issue 2 · 3 Mar 2012 · 11,283 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNonnegative Matrix Factorization Features Extraction and Ensemble Methods Classifier for ECG Image ClassificationHussain K. Ibrahim, Shawkat K. Guirguis, Hend A. ElsayedThis study is a novel proposed classification system for ECG image classification. This proposed system uses nonnegative matrix factorization for feature extraction and ensemble methods for classification, and the results are compared with the features extracted by the principal component analysis, kernel principal component analysis, and independent component analysis. Although algorithms find image classification challenging, humans typically find it easy. … …Journal of Computer Science, Vol. 21, Issue 4 · 15 Mar 2025 · 4,863 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Development of Geo-Information System for Finding Potential Zones of Water using Environmental Parameters and EngineeringN. Sundara Rajulu, M. RajaniProblem statement: Water is a major natural resource for all the living beings in the world. People’s lives and livelihood depends on water. Most of the human beings in this world use ground water for drinking purpose. The reason behind that is the ground water is pollution less or less polluted when compared with the surface water. The need for … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 2 Aug 2012 · 7,188 accessesView PDFCite
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