Researchers from University of Leon Report New Studies and Findings in the Area of Machine Learning (Vnir-swir Reflectance Spectroscopy As a Nondestructive Tech nique for Compositional Determination of Archaeological Talc Samples With a Mach ine ...)
Researchers from University of Leon Report New Studies and Findings in the Area of Machine Learning (Vnir-swir Reflectance Spectroscopy As a Nondestructive Tech nique for Compositional Determination of Archaeological Talc Samples With a Mach ine ...)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news originating from Leon, Spain, by NewsRx corre spondents, research stated, “The material from which an archaeological piece is made provides a great deal of information regarding the society in which it was made; thus, any misidentification can lead to erroneous conclusions. The uniquen ess of many of these pieces hinders their mineralogical analysis because the pie ces cannot be damaged for sampling; therefore, errors in the classification of t hese materials are common.”
Key words
Leon/Spain/Europe/Cyborgs/Emerging T echnologies/Machine Learning/Magnesium Silicates/Silicic Acid/Silicon Compou nds/Silicon Dioxide/Talc/University of Leon
NETL
NSTL