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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
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
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
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
Asian Pacific journal of cancer prevention : APJCP, ISSN 1513-7368, 05/2019, Volume 20, Issue 5, pp. 1555 - 1561
Objective: The main objective of this study is to improve the classification performance of melanoma using deep learning based automatic skin lesion... 
Dermoscopy - methods | Skin Neoplasms - pathology | Algorithms | Humans | Bayes Theorem | Image Processing, Computer-Assisted - methods | Melanoma - pathology | Skin Diseases - pathology | Support Vector Machine | Deep Learning | Skin - pathology | Cluster Analysis | deep learning | segmentation | classification | Melanoma | dermoscopy
Journal Article
Fuel, ISSN 0016-2361, 12/2018, Volume 234, pp. 954 - 964
In recent years, support vector machine (SVM) method has been rapidly developed because of its great advantage in solving small sample regression problems.... 
NOx emission | Support vector machine | Hydrogen enriched compressed natural gas engine | Steady-state calibration | emission | ENGINEERING, CHEMICAL | ENERGY & FUELS | COMBUSTION CHARACTERISTICS | PERFORMANCE | POWER | OPTIMIZATION
Journal Article
Optik, ISSN 0030-4026, 07/2018, Volume 164, pp. 218 - 223
This paper presents a (SVM) based method for degraded historical document image binarization. Given a degraded historical document image, the proposed method... 
Document image binarization | Support vector machine | SVM | Segmentation | Thresholding | OPTICS
Journal Article
Journal Article