Raman spectroscopy and PCA-SVM as a non-invasive diagnostic tool to identify and classify qualitatively glycated hemoglobin levels in vivo.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of biophotonics"
DOI: 10.1002/jbio.201600169
Abstract: In this study we identify and classify high and low levels of glycated hemoglobin (HbA1c) in healthy volunteers (HV) and diabetic patients (DP). Overall, 86 subjects were evaluated. The Raman spectrum was measured in three… read more here.
Keywords: spectroscopy pca; svm; identify classify; spectroscopy ... See more keywords
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
Sign Up to like & getrecommendations! Published in 2021 at "Engineering With Computers"
DOI: 10.1007/s00366-021-01418-3
Abstract: The prediction of the potential of soil liquefaction induced by the earthquake is a vital task in construction engineering and geotechnical engineering. To provide a possible solution to such problems, this paper proposes two support… read more here.
Keywords: svm; performance; gwo svm; liquefaction ... See more keywords
A complete online-SVM pipeline for case-based reasoning system: a study on pipe defect detection system
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04985-7
Abstract: Recent developments in case-based reasoning system (CBR) have led to an interest in favoring machine learning (ML) approaches as a replacement for traditional weighted distance methods. However, valuable information obtained through a training process was… read more here.
Keywords: reasoning system; system; svm; case ... See more keywords
Enhancement in speaker recognition for optimized speech features using GMM, SVM and 1-D CNN
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-020-09771-2
Abstract: Contemporary automatic speaker recognition (ASR) systems do not provide 100% accuracy making it imperative to explore different techniques to improve it. Easy access to mobile devices and advances in sensor technology, has made voice a… read more here.
Keywords: speaker; svm cnn; speaker recognition; svm ... See more keywords
Research of SVM ensembles in medical examination scheduling
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-019-00510-1
Abstract: In order to solve the problem of deterioration of the generalization ability caused by support vector machine (SVM), this paper proposes a regression prediction method based on SVM ensemble learning. The grid search method is… read more here.
Keywords: research; svm; examination scheduling; ensemble learning ... See more keywords
A combination of CSP-based method with soft margin SVM classifier and generalized RBF kernel for imagery-based brain computer interface applications
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08675-2
Abstract: Several methods utilizing common spatial pattern (CSP) algorithm have been presented for improving the identification of imagery movement patterns for brain computer interface applications. The present study focuses on improving a CSP-based algorithm for detecting… read more here.
Keywords: imagery; kernel; svm; computer interface ... See more keywords
Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Natural Hazards"
DOI: 10.1007/s11069-020-04180-9
Abstract: The modelling of drought is of utmost importance for the efficient management of water resources. This article used the adaptive neuro-fuzzy interface system (ANFIS), multilayer perceptron (MLP), radial basis function neural network (RBFNN), and support… read more here.
Keywords: svm models; svm; drought; iran ... See more keywords
Assessment of Land Cover Changes Using Taguchi-Based Optimized SVM Classification Approach
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-018-0865-0
Abstract: AbstractLand use and land cover mapping is of great importance in many research areas. The main objective of this study was to assess land cover changes using support vector machine (SVM) classification approach. The most… read more here.
Keywords: classification; svm; land; cover ... See more keywords
Splice site identification in human genome using random forest
Sign Up to like & getrecommendations! Published in 2017 at "Health and Technology"
DOI: 10.1007/s12553-016-0157-z
Abstract: Gene identification has been an increasingly important task due to developments of Human Genome Project. Splice site prediction lies at the heart of identifying human genes, thus development of new methods which detect the splice… read more here.
Keywords: splice; svm; encoding methods; human genome ... See more keywords
Analysis of Support Vector Machine-based Intrusion Detection Techniques
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-03970-z
Abstract: From the last few decades, people do various transaction activities like air ticket reservation, online banking, distance learning, group discussion and so on using the internet. Due to explosive growth of information exchange and electronic… read more here.
Keywords: vector machine; svm; intrusion detection; support vector ... See more keywords
Robust optimization of SVM hyper-parameters for spillway type selection
Sign Up to like & getrecommendations! Published in 2021 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2020.10.022
Abstract: Abstract Spillways, which play a vital role in dams, can be built in various types. Although several studies have been conducted on hydraulic calculations of spillways, studies on type selection that require heuristics knowledge were… read more here.
Keywords: optimization; type selection; svm; hyper parameters ... See more keywords