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86 results for “principal component analysis”
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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 keywordsCharacterization of Biochemical Compositions, Volatile Compounds and Sensory Profiles of Cabernet Sauvignon Wine in Successive Vintages (2008-2017)Yufeng Ding, Yanli Ma, Suping Li et al.Cabernet Sauvignon grape is an emblematic cultivar of Huailai region, China, allowing obtaining wines accounts for a large proportion of national consumption. This work aimed to determine the differences in basic parameters, organic acids, phenolics, volatile compounds and sensory profiles of Cabernet Sauvignon wines of successive vintages (2008-2017). The total organic acids content ranged from 7.03 to 42.33 g L-1, … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 17 Aug 2020 · 6,972 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 keywordsDETECTION OF LAND USE AND LAND COVER CHANGES IN DIRAB REGION OF SAUDI ARABIA USING REMOTELY SENSED IMAGERIESR. Madugundu, K. A. Al-Gaadi, V. C. Patil, E. TolaKnowledge of Land Use and Land Cover (LULC) changes is important for many planning and management activities. It is thought to be an essential element for modeling and understanding the major land forms, especially in arid regions like Saudi Arabia. This study investigates the LULC changes in Dirab region of Saudi Arabia between 1980 and 2010, using Landsat TM/ETM+images. After … …American Journal of Environmental Sciences, Vol. 10, Issue 1 · 30 Jan 2014 · 8,013 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 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 keywordsAssessment of Lead and Cadmium Content in the Soils and Plants in Industrial AreaGabriela Oprea, Cristina Mihali, Angela Michnea et al.Problem statement: The objective of this research was to assess the degree of soil pollution and also of Plant contamination with lead (Pb) and cadmium (Cd) in Baia Mare city (located in NW Romania) area which used to be one of the most important nonferrous metallurgical centers in Romania. Approach: Soil and plant samples were collected from 3 districts of … …American Journal of Environmental Sciences, Vol. 7, Issue 5 · 31 Oct 2011 · 7,251 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTaxonomically Clustering Organisms Based on the Profiles of Gene Sequences Using PCAE. Ramaraj, M. PunithavalliThe biological implications of bioinformatics can already be seen in various implementations. Biological taxonomy may seem like a simple science in which the biologists merely observe similarities among organisms and construct classifications according to those similarities[1], but it is not so simple. By applying data mining techniques on gene sequence database we can cluster the data to find interesting similarities … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,746 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassification of Finger Vein Image Using Convolutional Neural NetworkAhmed S. Hameed, Shawkat K. Guirguis, Hend A. ElsayedCurrently available technologies can perform rather well, but their effectiveness is mostly contingent on how well the venous images being analyzed are quality images. Finger vein features have garnered significant attention in the past few years as a potential means of automatic user identification. A significant amount of daily usage goes into the very vital personal identification procedure. The identification … …Journal of Computer Science, Vol. 21, Issue 2 · 6 Jan 2025 · 4,712 accessesView PDFCite