Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices

Germán H. Alférez; Sarah Hernández Serrano; Ana María Martínez Ardila; Benjamin L. Clausen

doi:10.1007/978-3-030-89906-6_6

Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices

Germán H. Alférez, Sarah Hernández Serrano, Ana María Martínez Ardila, Benjamin L. Clausen

Earth and Biological Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the Future Technologies Conference, FTC 2021, Volume 1
Editors	Kohei Arai
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	72-88
Number of pages	17
ISBN (Print)	9783030899059
DOIs	https://doi.org/10.1007/978-3-030-89906-6_6
State	Published - 2022
Event	6th Future Technologies Conference, FTC 2021 - Virtual, Online Duration: Oct 28 2021 → Oct 29 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	358 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th Future Technologies Conference, FTC 2021
City	Virtual, Online
Period	10/28/21 → 10/29/21

ASJC Scopus Subject Areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Keywords

Dominant colors
Feature extraction
IOS Application
Machine learning
Plutonic rock classification

Access to Document

10.1007/978-3-030-89906-6_6

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Alférez, G. H., Hernández Serrano, S., Martínez Ardila, A. M., & Clausen, B. L. (2022). Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices. In K. Arai (Ed.), Proceedings of the Future Technologies Conference, FTC 2021, Volume 1 (pp. 72-88). (Lecture Notes in Networks and Systems; Vol. 358 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-89906-6_6

Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices. / Alférez, Germán H.; Hernández Serrano, Sarah; Martínez Ardila, Ana María et al.
Proceedings of the Future Technologies Conference, FTC 2021, Volume 1. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. p. 72-88 (Lecture Notes in Networks and Systems; Vol. 358 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alférez, GH, Hernández Serrano, S, Martínez Ardila, AM & Clausen, BL 2022, Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices. in K Arai (ed.), Proceedings of the Future Technologies Conference, FTC 2021, Volume 1. Lecture Notes in Networks and Systems, vol. 358 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 72-88, 6th Future Technologies Conference, FTC 2021, Virtual, Online, 10/28/21. https://doi.org/10.1007/978-3-030-89906-6_6

Alférez GH, Hernández Serrano S, Martínez Ardila AM, Clausen BL. Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices. In Arai K, editor, Proceedings of the Future Technologies Conference, FTC 2021, Volume 1. Springer Science and Business Media Deutschland GmbH. 2022. p. 72-88. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-89906-6_6

Alférez, Germán H. ; Hernández Serrano, Sarah ; Martínez Ardila, Ana María et al. / Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices. Proceedings of the Future Technologies Conference, FTC 2021, Volume 1. editor / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. pp. 72-88 (Lecture Notes in Networks and Systems).

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Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices

Publication series

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ASJC Scopus Subject Areas

Keywords

Access to Document

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