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Research ArticleOpen accessEvery word in the titleA Critical Review of Climate Change Induced Psychosocial Impacts and Options for Strengthening Social Support SystemsParnali Dhar Chowdhury, C. Emdad Haque, Graham SmithProblem statement: Climate change and its associated manifestations have only recently emerged as significant threats to health faced by Canadians. The emergence of these threats has meant that Canadians are faced with increasing health-related concerns that are more frequent, more severe and occurring in communities where they have not been previously experienced. The compounding effects of change in weather patterns … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 26 Aug 2011 · 7,425 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Local Network Intrusion Detection System Based on Support Vector MachineMuamer N. Mohammad, Norrozila Sulaiman, Emad T. KhalafProblem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,313 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Fuzzy Based Decision Support System for Evaluating Land Suitability and Selecting CropsSri Hartati, Imas S. SitanggangProblem statement: Evaluating land suitability and selecting crops in modern agriculture is of critical importance to every organization. This is because the narrower area of land, the more effectiveness in planting is required in accordance with the desires of the land. Process of evaluating land suitability class and selecting plants in accordance with decision marker's requirements is complex and unstructured. … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,872 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Smooth Support Vector Machine and Its Applications in Diabetes Disease DiagnosisSanti Wulan Purnami, Abdullah Embong, Jasni Mohd Zain, S. P. RahayuProblem statement: Research on Smooth Support Vector Machine (SSVM) is an active field in data mining. Many researchers developed the method to improve accuracy of the result. This study proposed a new SSVM for classification problems. It is called Multiple Knot Spline SSVM (MKS-SSVM). To evaluate the effectiveness of our method, we carried out an experiment on Pima Indian diabetes … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,587 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSupport Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power TransformerV. Malathi, N. S. MarimuthuThis study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena in power transformer. …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Recursive Application of a Support Vector Machine for Protein Spot Detection in 2-Dimensional Gel ElectrophoresisGary D. Boetticher, Hisham Al-Mubaid, Karen Frasier-ScottTwo-dimensional polyacrylamide gel electrophoresis (2-D PAGE) analysis remains the core of proteomic technology because it is currently the most powerful method to analyze large collections of proteins. Advances in electrophoresis equipment are making this technique more accessible but effective computer assisted protein spot detection remains a very labor-intensive endeavor. Protein spot analysis is still time consuming, requires human intervention and … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,675 accessesView PDFCite