This paper introduces GEMTELLIGENCE, a novel deep learning approach for automated gemstone origin determination and treatment detection. It leverages multi-modal data from various instruments (FTIR, UV-Vis, XRF, ICP-MS) and combines convolutional and attention-based neural networks to achieve predictive performance comparable to expensive instrumentation and expert analysis, while utilizing inexpensive methods. GEMTELLIGENCE significantly enhances automation in gemstone analysis, revolutionizing industry processes.
Publisher
Communications Engineering
Published On
Aug 20, 2024
Authors
Tommaso Bendinelli, Luca Biggio, Daniel Nyfeler, Abhigyan Ghosh, Peter Tollan, Moritz Alexander Kirschmann, Olga Fink
Tags
GEMTELLIGENCE
deep learning
gemstone analysis
origin determination
treatment detection
neural networks
automation
Related Publications
Explore these studies to deepen your understanding of the subject.