3 articles for “QDA”

Research ArticleOpen accessIn the keywordsAssessing 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 PDF Cite

Research ArticleOpen accessIn the abstractStatistical Pattern Recognition for Thresholding between Human Skin and Background in Color ImagesRafael Divino Ferreira Feitosa, Vinícius Araújo Santos, Leandro Luís Galdino de Oliveira et al.Many research works based on the tone of human skin have been developed to locate and track the human body for the purpose of recognition in color images. With respect to other techniques, some advantages of face detection based on skin color are the smaller processing time, invariant angles of rotation and the performance in semi-occluded faces. In this study … …Journal of Computer Science, Vol. 13, Issue 2 · 10 Apr 2017 · 7,923 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMicrobial Growth, Sensory Characteristic and pH as Potential Spoilage Indicators of Chinese Yellow Wet Noodles from Commercial Processing PlantsSuwaibah Ghaffar, Abdulamir AS, Fatimah Abu Bakar et al.Problem statement: This study was conducted to evaluate the potential use of microbial growth, sensory characteristic (odour) and pH as potential spoilage indicators of Chinese yellow wet noodles. Approach: Samples were collected from 3 commercial processing plants namely, Automated Processing (AP), Semi-automated Processing (SP) and Manual Processing (MP). The samples were kept at ambient temperature (28±2 °C) and monitored microbiologically … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 8,575 accessesView PDF Cite