FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3030378203> ?p ?o ?g. }

• W3030378203 abstract "Machine Learning (ML) has found several applications in spectroscopy, including being used to recognise minerals and estimate elemental composition. In this work, we present novel methods for automatic mineral identification based on combining data from different spectroscopic methods. We evaluate combining data from three spectroscopic methods: vibrational Raman scattering, reflective Visible-Near Infrared (VNIR), and Laser-Induced Breakdown Spectroscopy (LIBS). These methods were paired into Raman + VNIR, Raman + LIBS and VNIR + LIBS, and different methods of data fusion applied to each pair to classify minerals. The methods presented here are shown to outperform the use of a single data source by a significant margin. Additionally, we present a Deep Learning algorithm for mineral classification from Raman spectra that outperforms previous state-of-the-art methods. Our approach was tested on various open access experimental Raman (RRUFF) and VNIR (USGS, Relab, ECOSTRESS), as well as synthetic LIBS NIST spectral libraries. Our cross-validation tests show that multi-method spectroscopy paired with ML paves the way towards rapid and accurate characterization of rocks and minerals." @default.
• W3030378203 created "2020-06-05" @default.
• W3030378203 creator A5043411104 @default.
• W3030378203 creator A5063983730 @default.
• W3030378203 creator A5069271932 @default.
• W3030378203 creator A5070484869 @default.
• W3030378203 creator A5071775087 @default.
• W3030378203 creator A5075084998 @default.
• W3030378203 date "2020-05-28" @default.
• W3030378203 modified "2023-09-30" @default.
• W3030378203 title "Machine Learning for recognition of minerals from multispectral data" @default.
• W3030378203 cites W1996484899 @default.
• W3030378203 cites W2000637119 @default.
• W3030378203 cites W2056132907 @default.
• W3030378203 cites W2059307273 @default.
• W3030378203 cites W2059709541 @default.
• W3030378203 cites W2064113980 @default.
• W3030378203 cites W2091397530 @default.
• W3030378203 cites W2101226812 @default.
• W3030378203 cites W2101926813 @default.
• W3030378203 cites W2122111042 @default.
• W3030378203 cites W2134997841 @default.
• W3030378203 cites W2148143831 @default.
• W3030378203 cites W2171326604 @default.
• W3030378203 cites W2332294236 @default.
• W3030378203 cites W2334062279 @default.
• W3030378203 cites W2724309842 @default.
• W3030378203 cites W2732794720 @default.
• W3030378203 cites W2751173701 @default.
• W3030378203 cites W2752532133 @default.
• W3030378203 cites W2780521787 @default.
• W3030378203 cites W2787894218 @default.
• W3030378203 cites W2885989949 @default.
• W3030378203 cites W2902514050 @default.
• W3030378203 cites W2921680060 @default.
• W3030378203 cites W2921781296 @default.
• W3030378203 cites W2941885668 @default.
• W3030378203 cites W2946644377 @default.
• W3030378203 cites W2956215678 @default.
• W3030378203 cites W2968923792 @default.
• W3030378203 cites W3008511810 @default.
• W3030378203 cites W3023707159 @default.
• W3030378203 cites W3038302200 @default.
• W3030378203 cites W3083117185 @default.
• W3030378203 cites W3106271386 @default.
• W3030378203 cites W4232359393 @default.
• W3030378203 doi "https://doi.org/10.1039/d0an01483d" @default.
• W3030378203 hasPublicationYear "2020" @default.
• W3030378203 type Work @default.
• W3030378203 sameAs 3030378203 @default.
• W3030378203 citedByCount "16" @default.
• W3030378203 countsByYear W30303782032021 @default.
• W3030378203 countsByYear W30303782032022 @default.
• W3030378203 countsByYear W30303782032023 @default.
• W3030378203 crossrefType "posted-content" @default.
• W3030378203 hasAuthorship W3030378203A5043411104 @default.
• W3030378203 hasAuthorship W3030378203A5063983730 @default.
• W3030378203 hasAuthorship W3030378203A5069271932 @default.
• W3030378203 hasAuthorship W3030378203A5070484869 @default.
• W3030378203 hasAuthorship W3030378203A5071775087 @default.
• W3030378203 hasAuthorship W3030378203A5075084998 @default.
• W3030378203 hasBestOaLocation W30303782032 @default.
• W3030378203 hasConcept C111219384 @default.
• W3030378203 hasConcept C119857082 @default.
• W3030378203 hasConcept C120665830 @default.
• W3030378203 hasConcept C121332964 @default.
• W3030378203 hasConcept C127313418 @default.
• W3030378203 hasConcept C153180895 @default.
• W3030378203 hasConcept C154945302 @default.
• W3030378203 hasConcept C159078339 @default.
• W3030378203 hasConcept C173163844 @default.
• W3030378203 hasConcept C178790620 @default.
• W3030378203 hasConcept C185592680 @default.
• W3030378203 hasConcept C192562407 @default.
• W3030378203 hasConcept C2776432453 @default.
• W3030378203 hasConcept C28490314 @default.
• W3030378203 hasConcept C32891209 @default.
• W3030378203 hasConcept C40003534 @default.
• W3030378203 hasConcept C41008148 @default.
• W3030378203 hasConcept C50497907 @default.
• W3030378203 hasConcept C5457282 @default.
• W3030378203 hasConcept C62520636 @default.
• W3030378203 hasConcept C62649853 @default.
• W3030378203 hasConceptScore W3030378203C111219384 @default.
• W3030378203 hasConceptScore W3030378203C119857082 @default.
• W3030378203 hasConceptScore W3030378203C120665830 @default.
• W3030378203 hasConceptScore W3030378203C121332964 @default.
• W3030378203 hasConceptScore W3030378203C127313418 @default.
• W3030378203 hasConceptScore W3030378203C153180895 @default.
• W3030378203 hasConceptScore W3030378203C154945302 @default.
• W3030378203 hasConceptScore W3030378203C159078339 @default.
• W3030378203 hasConceptScore W3030378203C173163844 @default.
• W3030378203 hasConceptScore W3030378203C178790620 @default.
• W3030378203 hasConceptScore W3030378203C185592680 @default.
• W3030378203 hasConceptScore W3030378203C192562407 @default.
• W3030378203 hasConceptScore W3030378203C2776432453 @default.
• W3030378203 hasConceptScore W3030378203C28490314 @default.
• W3030378203 hasConceptScore W3030378203C32891209 @default.
• W3030378203 hasConceptScore W3030378203C40003534 @default.
• W3030378203 hasConceptScore W3030378203C41008148 @default.

• next