MASc thesis presentation by Nicolas Maamary – Machine Learning Prediction of Chloride Threshold Level for Carbon Steel Reinforcing Bars and Cement Pore Solution
Machine Learning Prediction of Chloride Threshold Level for Carbon Steel Reinforcing Bars and Cement Pore Solution (MASc thesis presentation) Candidate: Nicolas Maamary Supervisor: Professor Ibrahim Ogunsanya Wednesday, July 10, 2024, NOON - 2:00 p.m. Location: SF1009, Sandford Fleming Building, 10 King's College Rd Online via ZoomLinks to an external site. Meeting ID: 264 442 296 790; Passcode: eQM2D2