81 |
Automatic damage type classification and severity quantification using signal based and nonlinear model based damage sensitive features Ghrib M, Rebillat M, des Roches GV, Mechbal N Journal of Process Control, 83, 136, 2019 |
82 |
Automatic damage type classification and severity quantification using signal based and nonlinear model based damage sensitive features Ghrib M, Rebillat M, des Roches GV, Mechbal N Journal of Process Control, 83, 136, 2019 |
83 |
Precise and quantitative assessment of automotive coating adhesion using new microgap pull-off test Cho CH, Son IT, Yoo JY, Moon GT, Lee EB, Yoon SH, Seo JS, Lee CS, Lee JH Korea-Australia Rheology Journal, 31(2), 89, 2019 |
84 |
Application of Raman spectroscopy to the flotation process of fluorite Lewandowski B, Ben Said B, Ulbricht M, Krekel G Minerals Engineering, 135, 129, 2019 |
85 |
Uncertainty quantification of fluidized beds using a data-driven framework Kotteda VMK, Stephens JA, Spotz W, Kumar V, Kommu A Powder Technology, 354, 709, 2019 |
86 |
Application of i-SDT for safer flare management operation Kazi MK, Eljack F, Al-Sobhi SA, Kazantzis N, Kazantzi V Process Safety and Environmental Protection, 132, 249, 2019 |
87 |
Test method for determination of different biodiesels (fatty acid alkyl esters) content in diesel fuel using FTIR-ATR Faraguna F, Racar M, Jukic A Renewable Energy, 133, 1231, 2019 |
88 |
Second-order statistical bootstrap for the uncertainty quantification of time-temperature-superposition analysis Maiti A Rheologica Acta, 58(5), 261, 2019 |
89 |
Reduced-Order Modeling of Subsurface Multi-phase Flow Models Using Deep Residual Recurrent Neural Networks Kani JN, Elsheikh AH Transport in Porous Media, 126(3), 713, 2019 |
90 |
Transport in Porous Media with Nonlinear Flow Condition Nezhad MM, Rezania M, Baioni E Transport in Porous Media, 126(1), 5, 2019 |