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Kamran Paynabar, Ph.D. - Publications

Affiliations: 
2012 University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Industrial Engineering, Statistics
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Aydemir G, Paynabar K. Image-Based Prognostics Using Deep Learning Approach Ieee Transactions On Industrial Informatics. 16: 5956-5964. DOI: 10.1109/Tii.2019.2956220  0.323
2020 Gahrooei MR, Paynabar K, Pacella M, Shi J. Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression Ieee Transactions On Automation Science and Engineering. 17: 684-696. DOI: 10.1109/Tase.2019.2941167  0.53
2020 Gahrooei MR, Yan H, Paynabar K, Shi J. Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data Technometrics. 1-23. DOI: 10.1080/00401706.2019.1708463  0.492
2020 Peters B, Yildirim M, Gebraeel N, Paynabar K. Severity-based diagnosis for vehicular electric systems with multiple, interacting fault modes Reliability Engineering & System Safety. 195: 106605. DOI: 10.1016/J.Ress.2019.106605  0.304
2019 Yan H, Paynabar K, Pacella M. Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization Technometrics. 61: 385-395. DOI: 10.1080/00401706.2018.1529628  0.321
2019 Gorgannejad S, Reisi Gahrooei M, Paynabar K, Neu R. Quantitative prediction of the aged state of Ni-base superalloys using PCA and tensor regression Acta Materialia. 165: 259-269. DOI: 10.1016/J.Actamat.2018.11.047  0.316
2018 Wang Y, Mei Y, Paynabar K. Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring Technometrics. 60: 360-372. DOI: 10.1080/00401706.2017.1375993  0.322
2018 Yan H, Paynabar K, Shi J. Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition Technometrics. 60: 181-197. DOI: 10.1080/00401706.2017.1346522  0.49
2017 Rahmandad H, Jalali MS, Paynabar K. A flexible method for aggregation of prior statistical findings. Plos One. 12: e0175111. PMID 28384282 DOI: 10.1371/Journal.Pone.0175111  0.323
2017 Yan H, Paynabar K, Shi J. Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition Technometrics. 59: 102-114. DOI: 10.1080/00401706.2015.1102764  0.459
2017 Fang X, Paynabar K, Gebraeel N. Multistream sensor fusion-based prognostics model for systems with single failure modes Reliability Engineering & System Safety. 159: 322-331. DOI: 10.1016/J.Ress.2016.11.008  0.308
2016 Mesnil O, Yan H, Ruzzene M, Paynabar K, Shi J. Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite Structural Health Monitoring. 15: 223-234. DOI: 10.1177/1475921716636375  0.487
2016 Masoud HI, Reed MP, Paynabar K, Wang N, Jin JJ, Wan J, Kozak KK, Gomez-Levi G. Predicting subjective responses from human motion: Application to vehicle ingress assessment Journal of Manufacturing Science and Engineering, Transactions of the Asme. 138. DOI: 10.1115/1.4032191  0.526
2016 Paynabar K, Zou C, Qiu P. A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis Technometrics. 58: 191-204. DOI: 10.1080/00401706.2015.1042168  0.397
2015 Mesnil O, Yan H, Ruzzene M, Paynabar K, Shi J. Guided Wavefield Reconstruction from Sparse Measurements Using Compressed Sensing Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2015/232  0.456
2015 Yan H, Paynabar K, Shi J. Image-based process monitoring using low-rank tensor decomposition Ieee Transactions On Automation Science and Engineering. 12: 216-227. DOI: 10.1109/Tase.2014.2327029  0.562
2015 Guo W, Jin J(, Paynabar K, Miller B, Carpenter J. A decision support system on surgical treatments for rotator cuff tears Iie Transactions On Healthcare Systems Engineering. 5: 197-210. DOI: 10.1080/19488300.2015.1065935  0.511
2014 Masoud HI, Reed MP, Paynabar K, Wang N, Jin J, Wan J, Kozak KK, Gomez-Levi G. Predicting subjective responses from human motion: Application to vehicle ingress assessment Asme 2014 International Manufacturing Science and Engineering Conference, Msec 2014 Collocated With the Jsme 2014 International Conference On Materials and Processing and the 42nd North American Manufacturing Research Conference. 1. DOI: 10.1115/1.4032191  0.331
2013 Paynabar K, Jin JJ, Pacella M. Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis Iie Transactions (Institute of Industrial Engineers). 45: 1235-1247. DOI: 10.1080/0740817X.2013.770187  0.366
2013 Shao C, Paynabar K, Kim TH, Jin J, Hu SJ, Spicer JP, Wang H, Abell JA. Feature selection for manufacturing process monitoring using cross-validation Transactions of the North American Manufacturing Research Institution of Sme. 41: 442-448. DOI: 10.1016/J.Jmsy.2013.05.006  0.664
2012 Guo H, Paynabar K, Jin J. Multiscale monitoring of autocorrelated processes using wavelets analysis Iie Transactions (Institute of Industrial Engineers). 44: 312-326. DOI: 10.1080/0740817X.2011.609872  0.569
2012 Paynabar K, Jin J, Yeh AB. Phase I Risk-Adjusted Control Charts for Monitoring Surgical Performance Journal of Quality Technology. 44: 39-53. DOI: 10.1080/00224065.2012.11917880  0.499
2011 Abad AG, Paynabar K, Jin JJ. Modeling and analysis of operator effects on process quality and throughput in mixed model assembly systems Journal of Manufacturing Science and Engineering, Transactions of the Asme. 133. DOI: 10.1115/1.4003793  0.656
2011 Paynabar K, Jin J. Characterization of non-linear profiles variations using mixed-effect models and wavelets Iie Transactions (Institute of Industrial Engineers). 43: 275-290. DOI: 10.1080/0740817X.2010.521807  0.332
2009 Noorossana R, Saghaei A, Paynabar K, Abdi S. Identifying the period of a step change in high-yield processes Quality and Reliability Engineering International. 25: 875-883. DOI: 10.1002/Qre.1007  0.38
2007 Noorossana R, Saghaei A, Paynabar K, Samimi Y. On the conditional decision procedure for high yield processes Computers and Industrial Engineering. 53: 469-477. DOI: 10.1016/J.Cie.2007.05.005  0.313
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