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UNO Researchers To Use Artificial Intelligence To Detect Flood Control Deficiencies
Researchers at the University of New Orleans want to use artificial intelligence to evaluate and detect potential deficiencies in the United States' floodwater control structures. The proposal includes the creation of an automated program using unmanned aerial system imagery and other sensory data to assess the integrity and stability of the nation's flood control systems. The Joseph Canizaro and James Livingston Gulf States Center for Environmental Informatics (GulfSCEI, pronounced Gulfsea) at the University of New Orleans has secured a one-year contract worth $1.25 million from the U.S. Army Corps of Engineers (USACE) for the research. The research will be performed jointly with USACE's domain experts. As part of its national flood risk management plan, the USACE has planned, designed and constructed over 700 dam and reservoir projects and more than 13,500 miles of federally authorized levees and floodwalls.
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