Automatic Groove Measurement and Evaluation with High Resolution Laser Profiling Data
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[1] Kelvin C. P. Wang,et al. Automated runway groove measurement and evaluation , 2017 .
[2] Kurt Keutzer,et al. Fast support vector machine training and classification on graphics processors , 2008, ICML '08.
[3] 韓國航空大學 航空 械工學科. 美聯邦航空廳(Federal Aviation Administration)의 航空機 製作檢査 制度의 現況 , 1979 .
[4] Li Lin,et al. Runway Groove Identification and Evaluation Using 1 mm 3D Image Data , 2013 .
[5] Víctor Robles,et al. Feature selection for multi-label naive Bayes classification , 2009, Inf. Sci..
[6] S. Wong. Effectivenessof Pavement Grooving inAccident Reduction BY , 1997 .
[7] W. B. Horne,et al. Joint NASA-British Ministry of Technology skid correlation study - Results from American vehicles , 1969 .
[8] Lin Li,et al. Surface Drainage Evaluation for Rigid Pavements Using an Inertial Measurement Unit and 1-mm Three-Dimensional Texture Data , 2014 .
[9] Wenfeng Li,et al. A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution , 2018, Sensors.
[10] Chih-Jen Lin,et al. Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel , 2003, Neural Computation.
[11] Tien Fang Fwa,et al. Transverse pavement grooving against hydroplaning. II: Design , 2006 .
[12] Patricio A. Vela,et al. A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm , 2012, Expert Syst. Appl..
[13] Ernest Zube,et al. REDUCTION OF ACCIDENTS BY PAVEMENT GROOVING , 1969 .
[14] Tien Fang Fwa,et al. Transverse pavement grooving against hydroplaning. I: Simulation model , 2006 .
[15] Patterson,et al. Evaluation of Trapezoidal-Shaped Runway Grooves , 2012 .
[16] Nannan Zhang,et al. Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data , 2018, Sensors.
[17] L G Mosher. RESULTS FROM STUDIES OF HIGHWAY GROOVING AND TEXTURIZING BY SEVERAL STATE HIGHWAY DEPARTMENTS , 1968 .
[18] Qiang Wang,et al. Development and Implementation of a Beam-Bridging Filter for Use in Airport Groove Identification , 2013 .
[19] Vijay V. Raghavan,et al. A critical investigation of recall and precision as measures of retrieval system performance , 1989, TOIS.
[20] Lin Li,et al. Lane Marking Detection and Reconstruction with Line-Scan Imaging Data , 2018, Sensors.
[21] Jui-Sheng Chou,et al. Smart Artificial Firefly Colony Algorithm‐Based Support Vector Regression for Enhanced Forecasting in Civil Engineering , 2015, Comput. Aided Civ. Infrastructure Eng..
[22] Qingquan Li,et al. A 3D Laser Profiling System for Rail Surface Defect Detection , 2017, Sensors.
[23] Kwang In Kim,et al. Face recognition using kernel principal component analysis , 2002, IEEE Signal Processing Letters.
[24] Hsuan-Tien Lin. A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods , 2005 .
[25] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[26] Walter B Horne. Status of runway slipperiness research , 1976 .
[27] Trafford J. W. Leland,et al. Influence of Tire Tread Pattern and Runway Surface Condition on Braking Friction and Rolling Resistance of a Modern Aircraft Tire , 1962 .
[28] R. W. Sugg. Joint NASA-British Ministry of Technology skid correlation study - Results from British vehicles , 1969 .
[29] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.
[30] Chia-Pei Chou,et al. Automatic measurement of runway grooving construction for pavement skid evaluation , 2009 .