{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T08:39:40Z","timestamp":1780562380868,"version":"3.54.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100007776","name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","doi-asserted-by":"publisher","award":["37.0\/2017"],"award-info":[{"award-number":["37.0\/2017"]}],"id":[{"id":"10.13039\/501100007776","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3053767","type":"journal-article","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T22:55:16Z","timestamp":1611356116000},"page":"16988-16998","source":"Crossref","is-referenced-by-count":9,"title":["Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5342-0063","authenticated-orcid":false,"given":"Gabriel Villavicencio","family":"Arancibia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5500-8577","authenticated-orcid":false,"given":"Osvaldo Pina","family":"Bustamante","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0674-2254","authenticated-orcid":false,"given":"Gabriel Hermosilla","family":"Vigneau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3047-8817","authenticated-orcid":false,"given":"Hector","family":"Allende-Cid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gonzalo Suazo","family":"Fuentelaba","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor Araya","family":"Nieto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref38","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050484"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5194\/hess-16-1607-2012"},{"key":"ref31","article-title":"Detection and monitoring of tailings dam surface erosion using UAV and machine learning","author":"nasategay","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LAGIRS48042.2020.9165620"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73531-3"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-4240-7_1"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010031"},{"key":"ref28","article-title":"Mining and tailings dam detection in satellite imagery using deep learning","author":"balaniuk","year":"2020","journal-title":"arXiv 2007 01076"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2753379"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"ref2","year":"2019","journal-title":"Proyecci&#x00F3;n de la Producci&#x00F3;n de Cobre En Chile 2018&#x2013;2029"},{"key":"ref1","year":"2020","journal-title":"Mineral Commodity Summaries 2020"},{"key":"ref20","article-title":"Toward a calibration-free model for optical remote sensing of soil moisture","author":"sadeghi","year":"0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2013.8080689"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.03.028"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5194\/hess-14-1931-2010"},{"key":"ref23","first-page":"1","article-title":"State of the art of artificial neural networks in geotechnical engineering","volume":"8","author":"shahin","year":"2008","journal-title":"Electron J Geotech Eng"},{"key":"ref26","first-page":"231","article-title":"Applying Artificial Neural Networks for analysis of geotechnical problems","volume":"18","author":"sulewska","year":"2011","journal-title":"Computing Method Appl Science and Engineering"},{"key":"ref25","first-page":"2764","article-title":"Applications of artificial intelligence in geotechnical engineering","volume":"13","author":"juwaied","year":"2018","journal-title":"J Eng Appl Sci"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10706-011-9438-5"},{"key":"ref11","first-page":"1","article-title":"Big data et intelligence artificielle en g&#x00E9;otechnique: O&#x00F9; en est-on ? O&#x00F9; va-t-on?","author":"pereira","year":"2019","journal-title":"Proc Solscope"},{"key":"ref40","article-title":"Deep learning using rectified linear units (ReLU)","author":"agarap","year":"2018","journal-title":"arXiv 1803 08375"},{"key":"ref12","first-page":"1","article-title":"Machine learning algorithms for applications in geotechnical engineering","author":"pirnia","year":"2018","journal-title":"Proc GeoEdmonton"},{"key":"ref13","first-page":"509","article-title":"Prediction of geotechnical parameters using machine learning techniques","volume":"125","author":"puri","year":"2017","journal-title":"Proc 6th Int Conf Smart Comput Commun (ICSCC)"},{"key":"ref14","article-title":"Importance of geotechnical operational control of thickened tailings deposits","author":"espinace","year":"0"},{"key":"ref15","first-page":"14992","article-title":"Influence of desiccation cracking on the liquefaction potential of thickened tailing deposits","author":"barrios","year":"2012","journal-title":"Proc 15WCEE"},{"key":"ref16","year":"2012","journal-title":"Tailings Deposits&#x2014;Control of Compaction With Light Dynamic Penetrometer"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(01)00347-9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs70302627"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2016.11.066"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1139\/cgj-2013-0142"},{"key":"ref3","year":"2020","journal-title":"Datos P&#x00FA;blicos Dep&#x00F3;sito de Relaves Catastro de Dep&#x00F3;sitos de Relaves en Chile"},{"key":"ref6","article-title":"Use of UAV and satellite images for the monitoring of water content in tailings storage facilities","author":"araya","year":"0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4067\/S0718-28132019000100035"},{"key":"ref8","article-title":"&#x00DA;ltimos avances en el control operacional de los dep&#x00F3;sitos de relave con la tecnolog&#x00ED;a Panda. Aplicaci&#x00F3;n en Chile","author":"espinace","year":"0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.36487\/ACG_repo\/2052_105"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.114"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1201\/NOE0415556149.ch3"},{"key":"ref46","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"arXiv 1609 04747"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3354\/cr030079"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1214\/009053604000000201"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31865-1_25"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IranianCEE.2016.7585772"},{"key":"ref41","first-page":"381","article-title":"Softmax to softassign: Neural network algorithms for combinatorial optimization","volume":"2","author":"gold","year":"1996","journal-title":"J Artif Neural"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330648"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09333631.pdf?arnumber=9333631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:23Z","timestamp":1639770983000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9333631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3053767","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}