A Deep Learning Approach to LIBS Spectroscopy for Planetary Applications

Terry Hazel Mullen1, Mario Parente1, Ian Gemp2 and Melinda Darby Dyar3, (1)University of Massachusetts Amherst, Electrical and Computer Engineering, Amherst, MA, United States, (2)University of Massachusetts Amherst, College of Information and Computer Sciences, Amherst, MA, United States, (3)Mount Holyoke College, Department of Astronomy, South Hadley, United States
Back to: Rise of Machine Learning: Salvation for Planetary Science in Times of Increasing Data Volume and Complexity I Posters