首页|New Machine Learning Findings Reported from University of Miskolc (Microstructur al Characterization of Bimodal Composite Metal Foams Under Compression With Mach ine Learning)
New Machine Learning Findings Reported from University of Miskolc (Microstructur al Characterization of Bimodal Composite Metal Foams Under Compression With Mach ine Learning)
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Current study results on Machine Learn ing have been published. According to news originating from Miskolc, Hungary, by NewsRx correspondents, research stated, "Cellular materials are gaining popular ity in today's major sectors. The aim is to develop high-performance materials t o meet customer and application demands." Financial support for this research came from National Research, Development & Innovation Office (NRDIO) -Hungary. Our news journalists obtained a quote from the research from the University of M iskolc, "This study revolves around the beginning of the failure; computed tomog raphy and statistical image analysis assisted with machine learning were employe d to quantitatively characterize the occurring processes within the structure at the beginning of the well-known plateau effect. Simple techniques (e.g., easily obtainable shape parameters, forest decision, 2D image slices) were employed to sort the structural elements into seven classes based on their visual appearanc es."
MiskolcHungaryEuropeCyborgsEmerg ing TechnologiesMachine LearningUniversity of Miskolc
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