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200 articles for “classification techniques”
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Research ArticleOpen accessAll words, across the recordMyocardial-Infraction Based on Intelligent TechniquesIbrahim Abdulrab AhmedProblem statement: Heart disease is the leading cause of death in the world. One of the most common types of heart diseases is Myocardial-Infraction. The ability to automatically identify Myocardial-Infraction from cardiac profiles test is important for clinical diagnosis and treatment. Approach: The aim of this study is to see whether the heart is healthy or not, in another words … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,607 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDesign of Output Codes for Fast Covering Learning using Basic Decomposition TechniquesAruna Tiwari, Narendra S. ChaudhariWe propose the design of output codes for solving the classification problem in Fast Covering Learning Algorithm (FCLA). For a complex multi-class problem normally the classifiers are constructed by combining the outputs of several binary ones. In this paper, we use the basic methods of decomposition; one per class (OPC) and Error Correcting Output Code (ECOC) with FCLA, binary to … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,302 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTaxonomically 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
Review ArticleOpen accessAll words, across the recordMedicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper ReviewStephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah, Yaw Marfo MissahComputer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and agriculture. This has essentially generated a zeal in creating automated systems for the identification of diverse species of plants. This study reviewed plant species classification relying on leaf textural … …Journal of Computer Science, Vol. 17, Issue 12 · 24 Dec 2021 · 7,821 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Use of Remote Sensing Techniques in Detecting and Predicting Forest Vegetation Change Using MODIS Satellite Data, Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.It is so important to be aware of quantitative and qualitative characteristics of changes for the environment, land use planning and sustainable development. Detecting the changes in the condition of an issue is done by time difference observations. Change detection refers to the process of detecting time changes of an object through different time observations. The detection of changes by … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 8,287 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSome Contributions to the Theory of Abstract Degenerate Volterra Integro-Differential EquationsMarko KostićIn this study, we contribute to the existing theory of abstract degenerate Volterra integro-differential equations in sequentially complete locally convex spaces. We investigate a class of abstract degenerate Volterra inclusions by using the multivalued linear operator approach, as well as a class of abstract degenerate multi-term fractional differential equations with Caputo derivatives by using the pure Laplace transform techniques. …Journal of Mathematics and Statistics, Vol. 12, Issue 2 · 17 Jun 2016 · 7,406 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordARABIC PART OF SPEECH TAGGING USING K-NEAREST NEIGHBOUR AND NAIVE BAYES CLASSIFIERS COMBINATIONRund Mahafdah, Nazlia Omar, Omaia Al-OmariPart Of Speech (POS) tagging forms the important preprocessing step in many of the natural language processing applications such as text summarization, question answering and information retrieval system. It is the process of classifying every word in a given context to its appropriate part of speech. Different POS tagging techniques in the literature have been developed and experimented. Currently, it … …Journal of Computer Science, Vol. 10, Issue 9 · 2 May 2014 · 7,578 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCOMPUTER AIDED SEGMENTATION OF BRAIN TISSUES USING SOFT COMPUTING TECHNIQUESD. Ramkumar, I. Jacob Raglend, K. BatriIn this study, an efficient computer aided classification of brain tissue in to Gray Matter (GM), White Matter (WM) and Cerebro-Spinal Fluid (CSF) is proposed. The proposed work consists of the following sub blocks like denosing, feature extraction and Classifier. This initial partition is performed by ANFIS after extracting the textural features like local binary pattern and histogram features. The … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 17 Apr 2014 · 6,662 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordChildhood Cancer-a Hospital based study using Decision Tree TechniquesK. Kalaivani, R. ShanmugalakshmiProblem statement: Cancer is generally regarded as a disease of adults. But there being a higher proportion of childhood cancer (ALL-Acute Lymphoblastic Leukemia) in India. The incidence of childhood cancer has increased over the last 25 years, but the increase is much larger in females. The aim was to increase our understanding of the determinants of south Indian parental reactions … …Journal of Computer Science, Vol. 7, Issue 12 · 17 Oct 2011 · 7,057 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparative Classification of Aspect Mining ApproachesBounour Nora, Ghoul Said, Atil FadilaIn object oriented paradigm, the implementation of a concern is typically scattered over many locations and tangled with the implementation of other concerns, resulting in a system that is hard to explore and understand. Identifying such code automatically greatly improves both the maintainability and the evolveability of the application. Aspect mining aims to identify crosscutting concerns in existing systems, thereby … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,774 accessesView PDFCite