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Ming Li
Ming Li
PetSmart, Amazon, Walmart, SAS Institute, GE Global Research, Iowa State University
Verified email at alumni.iastate.edu
Title
Cited by
Cited by
Year
Quantifying the vibrothermographic effect
SD Holland, C Uhl, Z Ouyang, T Bantel, M Li, WQ Meeker, J Lively, ...
NDT & E International 44 (8), 775-782, 2011
932011
Application of Bayesian methods in reliability data analyses
M Li, WQ Meeker
Journal of Quality Technology 46 (1), 1-23, 2014
822014
Diamagnetic response of metallic photonic crystals at infrared and visible frequencies
X Hu, CT Chan, J Zi, M Li, KM Ho
Physical review letters 96 (22), 223901, 2006
742006
Higher-order incidence transfer matrix method used in three-dimensional photonic crystal coupled-resonator array simulation
M Li, X Hu, Z Ye, KM Ho, J Cao, M Miyawaki
Optics letters 31 (23), 3498-3500, 2006
442006
Design of midinfrared photodetectors enhanced by resonant cavities with subwavelength metallic gratings
X Hu, M Li, Z Ye, WY Leung, KM Ho, SY Lin
Applied Physics Letters 93 (24), 2008
412008
Polarization engineering of thermal radiation using metallic photonic crystals
JH Lee, JCW Lee, W Leung, M Li, K Constant, CT Chan, KM Ho
Advanced Materials 20 (17), 3244-3247, 2008
372008
High-efficiency calculations for three-dimensional photonic crystal cavities
M Li, ZY Li, KM Ho, JR Cao, M Miyawaki
Optics letters 31 (2), 262-264, 2006
292006
Statistical methods for automatic crack detection based on vibrothermography sequence‐of‐images data
M Li, SD Holland, WQ Meeker
Applied Stochastic Models in Business and Industry 26 (5), 481-495, 2010
252010
Joint Estimation of NDE Inspection Capability and Flaw-Size Distribution for In-Service Aircraft Inspections
M Li, WQ Meeker, P Hovey
Research in Nondestructive Evaluation 23 (2), 104-123, 2012
242012
Quantitative multi-inspection-site comparison of probability of detection for vibrothermography nondestructive evaluation data
M Li, SD Holland, WQ Meeker
Journal of Nondestructive Evaluation 30, 172-178, 2011
202011
Physical Model-Assisted Probability of Detection of Flaws in Titanium Forgings Using Ultrasonic Nondestructive Evaluation
M Li, WQ Meeker, RB Thompson
Technometrics 56 (1), 78-91, 2014
192014
Batch variability in accelerated-degradation testing
M Li, N Doganaksoy
Journal of Quality Technology 46 (2), 171-180, 2014
182014
Propagation of guided modes in curved nanoribbon waveguides
Z Ye, X Hu, M Li, KM Ho, P Yang
Applied physics letters 89 (24), 2006
182006
A noise interference model for estimating probability of detection for nondestructive evaluations
M Li, WQ Meeker
AIP Conference Proceedings 1096 (1), 1769-1776, 2009
152009
System unavailability analysis based on window‐observed recurrent event data
Y Hong, M Li, B Osborn
Applied Stochastic Models in Business and Industry 31 (2), 122-136, 2015
142015
Distinguishing between uncertainty and variability in nondestructive evaluation
M Li, FW Spencer, WQ Meeker
AIP Conference Proceedings 1430 (1), 1725-1732, 2012
112012
Joint estimation of the flaw size distribution and POD function
P Hovey, WQ Meeker, M Li
AIP Conference Proceedings 1096 (1), 1832-1839, 2009
92009
Quantile Probability of Detection: Distinguishing Between Uncertainty and Variability in Nondestructive Testing
M Li, FW Spencer, WQ Meeker
Materials Evaluation 73 (1), 2015
82015
Statistical assessment of probability of detection for automated eddy current nondestructive evaluation inspection
M Li, N Nakagawa, BF Larson, WQ Meeker
Research in Nondestructive Evaluation 24 (2), 89-104, 2013
82013
Statistical assessment of probability of detection for automated eddy current nondestructive evaluation inspection
M Li, N Nakagawa, BF Larson, WQ Meeker
Research in Nondestructive Evaluation 24 (2), 89-104, 2013
82013
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