首页|Study Results from Federal University Santa Catarina in the Area of Machine Lear ning Reported (Image-based Quantification of Pool Boiling Heat Flux On Varied He ating Surfaces: Enhancing Prediction Performance With Automated Machine Learning )
Study Results from Federal University Santa Catarina in the Area of Machine Lear ning Reported (Image-based Quantification of Pool Boiling Heat Flux On Varied He ating Surfaces: Enhancing Prediction Performance With Automated Machine Learning )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available.According to news reporting originating from Florianopolis, Brazil, by NewsRx correspondents, research stated, “The present study applied image-trai ned Convolutional Neural Networks (CNN) to quantify the heat flux dissipated in a pool boiling experiment.In total, four heating surfaces were used to generate over 200 thousand nucleate and film boiling images in two visualization modes: direct and indirect.”
FlorianopolisBrazilSouth AmericaCy borgsEmerging TechnologiesMachine LearningFederal University Santa Catarin a
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