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142 results for “classified using”
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Research ArticleOpen accessIn the abstractDesign and Analysis of a Smart Multi Purpose Electronic Nose SystemMahmoud Z. Iskandarani, Nidal F. ShilbayehAn electronic nose system for multi application purposes is designed and tested. Our hardware design allows various types of sensors to be used for different applications. The system is capable of being interfaced to both analog and digital instruments with special filtering devices that isolate the system from surrounding signals. The design of the system is distinguished through the use … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,937 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTransforming Retinal Diagnostics: Advanced Detection of Diabetic Retinopathy Using Vision Transformers and Capsule NetworksVishal Sharma, Rishu, Vinay Kukreja et al.Diabetic Retinopathy (DR), nowadays is one of the leading causes of blindness worldwide, it is a severe complication of diabetes mellitus that affects the retina blood vessels. Accurate diagnosis depends on early detection of DR. The study aims to develop a hybrid model that is the combination of a Vision Transformer and Capsule Network (ViT-CapsNet) to classify the DR at … …Journal of Computer Science, Vol. 21, Issue 2 · 14 Jan 2025 · 6,755 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPredicting Depression Levels using Back Propagation Neural NetworkEddy Muntina Dharma, Yaya Heryadi, Lukas et al.Depression is a mood disorder characterized by feelings of deep sadness and a sense of indifference. When depression recurs in moderate or severe intensity, it can be a serious health condition. The most effective way to deal with this problem is to predict the symptoms of depression at an early stage. In this study, a Back Propagation Neural Network (BPNN) … …Journal of Computer Science, Vol. 18, Issue 3 · 18 Mar 2022 · 6,882 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassification of Normal and Abnormal Lung CT-scan Images Using Cellular Learning AutomataNooshin Hadavi, Md Jan Nordin, Ali Shojaeipour, Mohammad Faidzul NasrudinThis paper proposes a medical pattern recognition system based on the Cellular automata (CA). CA or cellular machine is a dynamic mathematical model that consists of several similar and simple units organized by considerably simple local rules. Each cell acts as a simple computer automaton. This can lead to the implementation of the complex computations through uncomplicated methods. However, the … …Journal of Computer Science, Vol. 16, Issue 1 · 15 Jan 2020 · 7,834 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLecturer Performance Analysis using Multiple ClassifiersHawraz Ahmad, Tarik RashidLecturer performance analysis has enormous influence on the educational life of lecturers in universities. The existing system in universities in Kurdistan-Iraq is conducted conventionally, what is more, the evaluation process of performance analysis of lecturers is assessed by the managers at various branches at the university andin view of that, in some cases the outcomes of this process cause a … …Journal of Computer Science, Vol. 12, Issue 5 · 13 Jun 2016 · 7,847 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordVIRTUAL MINING MODEL FOR CLASSIFYING TEXT USING UNSUPERVISED LEARNINGS. Koteeswaran, E. Kannan, P. VisuIn real world data mining is emerging in various era, one of its most outstanding performance is held in various research such as Big data, multimedia mining, text mining etc. Each of the researcher proves their contribution with tremendous improvements in their proposal by means of mathematical representation. Empowering each problem with solutions are classified into mathematical and implementation models. … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 20 Feb 2014 · 6,582 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetermining Potential Sites for Runoff Water Harvesting using Remote Sensing and Geographic Information Systems-Based Modeling in SinaiHossam H. Elewa, Atef A. Qaddah, Ayman A. El-FeelProblem statement: Sinai is increasingly suffering from an overwhelming water crisis. Runoff Water Harvesting (RWH) could be a solution for this problem. The determined promising drainage basins for RWH could be used by the decision makers to propose appropriate controlling systems to overcome the problem of water scarcity and for implementing runoff farming and rain-fed agriculture. Approach: Remote sensing, geographic … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 15 Feb 2012 · 8,483 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHuman Behavior Classification Using Multi-Class Relevance Vector MachineB. Yogameena, S. Veera Lakshmi, M. Archana, S. Raju AbhaikumarProblem statement: In computer vision and robotics, one of the typical tasks is to identify specific objects in an image and to determine each object’s position and orientation relative to coordinate system. This study presented a Multi-class Relevance Vector machine (RVM) classification algorithm which classifies different human poses from a single stationary camera for video surveillance applications. Approach: First the … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,390 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRetrieval of Similar Shapes Under Affine Transform Using Affine Length ParameterizationA. Lakehal, O. El Beqqali, O. Ait ZemzamiProblem statement: In this study, a new descriptor for shape retrieval under affine transformations had been proposed; the affine length parameterization was used in this approach. Approach: The zero crossing of affine curvature was used to extract a descriptor of shapes in database. For each two successive zero crossing points we extract two parameters: the first parameter was a maximal … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Aug 2010 · 7,255 accessesView PDFCite