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Applied Soft Computing Journal, ISSN 1568-4946, 2011, Volume 11, Issue 6, pp. 4203 - 4211
Condition monitoring of induction motors is a fast emerging technology in the field of electrical equipment maintenance and has attracted more and more... 
Condition monitoring | Induction motor | Continuous wavelet transform (CWT) | Bearing fault | Support Vector Machine (SVM) | SYSTEM | DIAGNOSIS | SIGNATURE ANALYSIS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Induction electric motors | Analysis
Journal Article
Neurocomputing, ISSN 0925-2312, 12/2015, Volume 169, pp. 34 - 42
The satellite remote sensing image data volume is too big, therefore, transmitting, storing and processing mass data is very difficult. Thus, the current... 
Satellite remote sensing image | Cloud image detection SVM vector machine | RECOGNITION | INFORMATION | 3-D OBJECT RETRIEVAL | CLASSIFICATION | 3D MODEL | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Methods | Artificial satellites in remote sensing
Journal Article
Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, 2009, Volume 96, Issue 1, pp. 27 - 33
Journal Article
Egyptian Informatics Journal, ISSN 1110-8665, 11/2012, Volume 13, Issue 3, pp. 177 - 183
In this paper, we introduce a new kernel function for improving the accuracy of the Support Vector Machines (SVMs) classification. The proposed kernel function... 
Support vector machine | Kernel functions | Neural networks | Quadratic Programming (QP)
Journal Article
Applied Artificial Intelligence, ISSN 0883-9514, 08/2011, Volume 25, Issue 7, pp. 575 - 589
In this paper, a universal kernel function is introduced that could improve the classification accuracy of Support Vector Machines (SVMs) for both linear and... 
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Kernels | Support vector machines | Kernel functions | Data sets | Classification | Gaussian | Artificial intelligence | Expert systems
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 07/2019, Volume 2129, Issue 1
Fault type classification is an important task in order to provide reliable electrical service to the customer. In this work, Support Vector Machine (SVM) is... 
Support vector machines | Substations | Regression analysis | Customer services | Classification | System effectiveness
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 12/2018, Volume 1108, Issue 1, p. 12044
Conference Proceeding
Journal of Computational and Theoretical Nanoscience, ISSN 1546-1955, 08/2019, Volume 16, Issue 8, p. 3327
Finding domain of a research paper and a researcher is a crucial task and would be highly appreciable in order to provide personalized search results to the... 
Support vector machines | Scientific papers | Classifiers | Keywords | Publications | Classification | Documents | Information retrieval
Journal Article
Powder Technology, ISSN 0032-5910, 05/2014, Volume 258, pp. 85 - 93
An Electrostatic Fluidised Bed (EFB) coating process is used as an eco-friendly alternative to an electrostatic spraying process to coat components of... 
Coating process | Powder paints | Support vector machine | Analytical modelling | Electrostatic fluidised bed | ENGINEERING, CHEMICAL | FUNCTION APPROXIMATION | ALGORITHM | CONVERGENCE | PARAMETERS | NEURAL-NETWORK CLASSIFICATION | Coatings | Analysis
Journal Article
European Journal of Radiology, ISSN 0720-048X, 01/2018, Volume 98, pp. 61 - 67
To assess the performance of Support Vector Machines (SVM) classification to stratify the Gleason Score (GS) of prostate cancer (PCa) in the central gland (CG)... 
Multiparametric magnetic resonance imaging (mpMRI) | Diffusion | Perfusion | Prostate cancer | Support Vector Machines | DWI | AGGRESSIVENESS ASSESSMENT | MR-IMAGES | LESION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal Article
Journal of Machine Learning Research, ISSN 1533-7928, 2005, Volume 6, pp. 363 - 392
Standard SVM training has O(m(3)) time and O(m(2)) space complexities, where m is the training set size. It is thus computationally infeasible on very large... 
Kernel methods | Core set | Scalability | Approximation algorithm | Minimum enclosing ball | core set | SUPPORT | minimum enclosing ball | kernel methods | approximation algorithm | CLASSIFICATION | ALGORITHMS | scalability | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Analytical Atomic Spectrometry, ISSN 0267-9477, 1/2015, Volume 3, Issue 2, pp. 368 - 374
The laser induced breakdown spectroscopy (LIBS) technique coupled with a support vector machine (SVM) and partial least square (PLS) methods was proposed to... 
Slags | Support vector machines | Spectroscopy | Least squares method | Classification | Joining | Mathematical models | Titanium dioxide
Journal Article
Information Sciences, ISSN 0020-0255, 07/2017, Volume 394-395, pp. 38 - 52
Multi-class sentiment classification is a valuable research topic with extensive applications; however, studies in the field remain relatively scarce. In the... 
Support vector machine (SVM) algorithm | One-vs-one (OVO) strategy | Experimental study | Multi-class sentiment classification | TYPE-2 FUZZY VARIABLES | DESIGN | WEB | INFORMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | STRENGTH DETECTION | CHALLENGES | Management science | Business schools | Algorithms | Analysis | Methods
Journal Article
Ecological Modelling, ISSN 0304-3800, 10/2012, Volume 244, pp. 117 - 126
► We modeled support vector machine to predict the distribution pattern of Azolla. ► The prediction of Azolla was reliable based on two performance criteria. ►... 
Alien species | Support vector machines | Wetland management | Ecological modelling | Azolla filiculoides (Lam.) | DESIGN | MANAGEMENT | HIGH-TEMPERATURE | AGREEMENT | ARTIFICIAL NEURAL-NETWORKS | MODELS | WASTE-WATER | BIOMASS | NITROGEN | ECOLOGY | ECOSYSTEMS | Analysis | Universities and colleges | Wetlands
Journal Article