A Method to Extract Physical Behavior Directly from Simple Visual Empirical Observation Via a Deep Learning Model, for a Material Agnostic Approach to Predicting Compressive Beam Buckling
Invention type: Technology
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Case number: #24061
Researchers
Departments: Department of Civil and Environmental Engineering
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation: Logistics / Sensing & Imaging: Optical Sensing
Impact Areas: Connected World, Advanced Materials
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method to extract physical behavior directly from simple visual empirical observation via a deep learning model
Patent Cooperation Treaty | Published application
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