An imprecise extension of SVM-based machine learning models
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.053
Abstract: Abstract A general approach for incorporating imprecise prior knowledge and for robustifying the machine learning SVM-based models is proposed in the paper. The main idea underlying the approach is to use a double duality representation… read more here.
Keywords: imprecise extension; extension svm; svm based; machine learning ... See more keywords
An SVM-based identification of acute stress in pilots using objective indicators.
Sign Up to like & getrecommendations! Published in 2025 at "Ergonomics"
DOI: 10.1080/00140139.2025.2519875
Abstract: Sudden incidents during flight trigger acute stress in pilots, compromising safety. An approach task was designed, with an engine failure during the landing phase to induce acute stress in 37 flight cadets using a C172-G1000… read more here.
Keywords: svm based; based identification; stress; identification acute ... See more keywords
An SVM-Based AdaBoost Cascade Classifier for Sonar Image
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DOI: 10.1109/access.2020.3004473
Abstract: This paper proposes an improved AdaBoost classifier for sonar images with low resolution ratio and noise. First, Histogram of oriented gradient (HOG) is used to perform feature extraction, and a weak classifier is obtained by… read more here.
Keywords: based adaboost; svm; svm based; adaboost cascade ... See more keywords
Fuzzy and SVM Based Classification Model to Classify Spectral Objects in Sloan Digital Sky
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DOI: 10.1109/access.2022.3207480
Abstract: The Sloan Digital Sky Survey (SDSS) comprises about one billion objects classified spectrometrically. Because astronomical datasets are so enormous, manually classifying them is nearly impossible—a huge dataset results in class imbalance and overfitting. We recommend… read more here.
Keywords: svm based; sloan digital; model; fuzzy svm ... See more keywords
An SVM-Based Scheme for Automatic Identification of Architectural Line Features and Cracks
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DOI: 10.3390/app10155077
Abstract: This research investigates fundamental problems in object recognition in earthen heritage and addresses the possibility of an automatic crack detection method for rammed earth images. We propose and validate a straightforward support vector machine (SVM)‐based… read more here.
Keywords: scheme automatic; line; automatic identification; svm based ... See more keywords
SVM Based Classification and Prediction System for Gastric Cancer Using Dominant Features of Saliva
Sign Up to like & getrecommendations! Published in 2019 at "Nano Biomedicine and Engineering"
DOI: 10.5101/nbe.v12i1.p1-13
Abstract: Machine learning techniques are widely used for the diagnosis of cancers. In this study, we proposed a classification and prediction system for the diagnosis of gastric cancer based on saliva samples. Gastric cancer (GC) is… read more here.
Keywords: prediction system; gastric cancer; svm based; classification prediction ... See more keywords