首页|Study Results from Laval University in the Area of Machine Learning Published (E nhancing Moisture-Induced Defect Detection in Insulated Steel Pipes through Infr ared Thermography and Hybrid Dataset)
Study Results from Laval University in the Area of Machine Learning Published (E nhancing Moisture-Induced Defect Detection in Insulated Steel Pipes through Infr ared Thermography and Hybrid Dataset)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Quebec, Canada , by NewsRx correspondents, research stated, “It is crucial to accurately detect moisture-induced defects in steel pipe insulation in order to combat corrosion under insulation (CUI).” Funders for this research include Natural Sciences And Engineering Council of Ca nada (Nserc), Create Onduty Program; Universite Laval; Mitacs Accelerate Program.
Laval UniversityQuebecCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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