Project 1.22: Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring
Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring Project 1.22
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Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring Project 1.22
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Wireless Joint Monitoring for Large Movement Expansion Joints for Highway Bridge Resilience Project 1.23
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Electric Vehicle Infrastructure Equity Project 4.14
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Vision-Based Detection of Bridge Damage Captured by Unmanned Aerial Vehicles Project 1.18
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Prediction and Prevention of Bridge Performance Degradation due to Corrosion, Material Loss, and Microstructural Changes C21.2022
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Assessing Presence and Impact of REOB (Recycled Engine Oil Bottoms) on Asphalt Project 1.19
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Assessment of CT Girder Load Distribution and Web Buckling Through Field Load Testing and Finite-Element Analysis Project 3.17:
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Monitoring Rail Bed Infrastructure Using Wireless Passive Sensing Project 1.20
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Detection and Monitoring of Material Aging and Structural Deterioration using Electromagnetic and Mechanical Sensors with Virtual Reality and Machine Learning Modeling Project 3.19
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Analysis of MaineDOT Road and Bridge Infrastructure Construction Costs Project 3.20
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