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Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 72-82 doi: 10.1007/s11709-013-0185-y
Keywords: earthquake cone penetration test liquefaction support vector machine (SVM) prediction
Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in
Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu
Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y
An image-recognition-based diagnosis system of pipe defect types was established. 1043 practical pipe images were gathered by CCTV robot in a southern Chinese city. The overall accuracy of the system is 84% and the highest accuracy is 99.3%. The accuracy shows positive correlation to the number of training samples.
Keywords: Sewer pipe defects Defect diagnosing Image recognition Multi-features extraction Support vector machine
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 520-536 doi: 10.1007/s11709-021-0689-9
Keywords: unconfined compressive strength artificial neural network support vector machine predictive models regression
Generalization and application in time series forecasting of the least square support vector machine
Xiang Xiaodong
Strategic Study of CAE 2008, Volume 10, Issue 11, Pages 89-92
Keywords: least square support vector machine generalization time series forecasting
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 215-239 doi: 10.1007/s11709-018-0489-z
Keywords: bentonite/sepiolite plastic concrete compressive strength artificial neural network support vector machine
A robust intelligent audio watermarking scheme using support vector machine Article
Mohammad MOSLEH,Hadi LATIFPOUR,Mohammad KHEYRANDISH,Mahdi MOSLEH,Najmeh HOSSEINPOUR
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12, Pages 1320-1330 doi: 10.1631/FITEE.1500297
Keywords: Audio watermarking Copyright protection Singular value decomposition (SVD) Machine learning Supportvector machine (SVM)
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3, Pages 347-358 doi: 10.1007/s11709-022-0819-z
Keywords: support vector machine deep convolutional neural network microscope digital image curing period
A comprehensive review and analysis of solar forecasting techniques
Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA
Frontiers in Energy 2022, Volume 16, Issue 2, Pages 187-223 doi: 10.1007/s11708-021-0722-7
Keywords: forecasting techniques hybrid models neural network solar forecasting error metric support vector machine
LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes
Shiguo XIAO; Shaohong LI
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7, Pages 871-881 doi: 10.1007/s11709-022-0863-8
Keywords: slope stability safety factor failure criterion least square support vector machine
Man-machine verification of mouse trajectory based on the random forestmodel Research Articles
Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 925-929 doi: 10.1631/FITEE.1700442
Identifying code has been widely used in man-machine verification to maintain network security.The challenge in engaging man-machine verification involves the correct classification of man and machineIn this study, we propose a random forest (RF) model for man-machine verification based on the mouseWe also compare the RF model with the baseline models (logistic regression and support vector machine
Keywords: Man-machine verification Random forest Support vector machine Logistic regression Performance metrics
Identification of thermal error in a feed system based on multi-class LS-SVM
Chao JIN, Bo WU, Youmin HU, Yao CHENG
Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 47-54 doi: 10.1007/s11465-012-0307-6
Keywords: least squares support vector machine (LS-SVM) feed system thermal error precision machining
Performance analysis of new word weighting procedures for opinion mining Article
G. R. BRINDHA,P. SWAMINATHAN,B. SANTHI
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11, Pages 1186-1198 doi: 10.1631/FITEE.1500283
Keywords: Inferred word weight Opinion mining Supervised classification Support vector machine (SVM) Machine
Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei
Frontiers of Medicine 2020, Volume 14, Issue 5, Pages 630-641 doi: 10.1007/s11684-019-0718-4
Keywords: temporal lobe epilepsy functional magnetic resonance imaging structural magnetic resonance imaging machinelearning support vector machine
UsingKinect for real-time emotion recognition via facial expressions
Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 272-282 doi: 10.1631/FITEE.1400209
Keywords: Kinect Emotion recognition Facial expression Real-time classification Fusion algorithm Support vectormachine (SVM)
Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 474-485 doi: 10.1631/FITEE.1400295
Keywords: regression Artificial neural network (ANN) Adaptive neuro-fuzzy inference system (ANFIS) Least squares supportvector machine (LS-SVM)
Title Author Date Type Operation
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Journal Article
Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in
Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu
Journal Article
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and supportvector machines
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Journal Article
Generalization and application in time series forecasting of the least square support vector machine
Xiang Xiaodong
Journal Article
Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and supportvector machine
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
Journal Article
A robust intelligent audio watermarking scheme using support vector machine
Mohammad MOSLEH,Hadi LATIFPOUR,Mohammad KHEYRANDISH,Mahdi MOSLEH,Najmeh HOSSEINPOUR
Journal Article
Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
Journal Article
A comprehensive review and analysis of solar forecasting techniques
Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA
Journal Article
LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes
Shiguo XIAO; Shaohong LI
Journal Article
Man-machine verification of mouse trajectory based on the random forestmodel
Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG
Journal Article
Identification of thermal error in a feed system based on multi-class LS-SVM
Chao JIN, Bo WU, Youmin HU, Yao CHENG
Journal Article
Performance analysis of new word weighting procedures for opinion mining
G. R. BRINDHA,P. SWAMINATHAN,B. SANTHI
Journal Article
Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging
Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei
Journal Article
UsingKinect for real-time emotion recognition via facial expressions
Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN
Journal Article