{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T22:51:23Z","timestamp":1777589483045,"version":"3.51.4"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"European Union\u2019s Horizon Research and Innovation Programme","award":["101092365"],"award-info":[{"award-number":["101092365"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3542192","type":"journal-article","created":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T18:32:06Z","timestamp":1739557926000},"page":"33138-33147","source":"Crossref","is-referenced-by-count":3,"title":["Deep Learning for Ore Haulage Monitoring: Vibrational Analysis Using a VGG16 Network"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1253-3149","authenticated-orcid":false,"given":"Artur","family":"Skoczylas","sequence":"first","affiliation":[{"name":"KGHM Cuprum Research and Development Centre Ltd., Wroc&#x0142;aw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1772-5740","authenticated-orcid":false,"given":"Pawe\u0142","family":"Stefaniak","sequence":"additional","affiliation":[{"name":"KGHM Cuprum Research and Development Centre Ltd., Wroc&#x0142;aw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8370-397X","authenticated-orcid":false,"given":"Sergii","family":"Anufriiev","sequence":"additional","affiliation":[{"name":"KGHM Cuprum Research and Development Centre Ltd., Wroc&#x0142;aw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5882-362X","authenticated-orcid":false,"given":"Wioletta","family":"Koperska","sequence":"additional","affiliation":[{"name":"KGHM Cuprum Research and Development Centre Ltd., Wroc&#x0142;aw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/app9132639"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-09823-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/en12132505"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/app13137659"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-020-09766-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT54291.2022.9825450"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s42461-023-00747-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63119-2_28"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/09208119208944330"},{"key":"ref10","article-title":"Use of artificial intelligence, machine learning, and autonomous technologies in the mining industry","volume-title":"Proc. 13th Annu. Conf. Midwest Assoc. Inf. Syst. (MWAIS)","volume":"43","author":"Hyder"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.17794\/rgn.2019.2.6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63119-2_27"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/362\/1\/012111"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107111"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s41693-024-00130-0"},{"key":"ref16","volume-title":"Intelligent Digital Toolbox Towards More Sustainable and Safer Extraction of Mineral Resources (Grant Agreement, no. 101092365)","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/min11101128"},{"key":"ref18","first-page":"1","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref19","volume-title":"Technical Specification Toro\u2122 TH545i","year":"2024"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACIT58437.2023.10275622"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s23031331"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2023.10.079"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1142\/S2196888821500251"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3291080"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/app11136075"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115472"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.102962"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2985052"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10887218.pdf?arnumber=10887218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T05:26:31Z","timestamp":1740461191000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10887218\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3542192","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}