{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T20:01:07Z","timestamp":1782417667573,"version":"3.54.5"},"reference-count":9,"publisher":"STEF92 Technology","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,15]]},"abstract":"<jats:p>Artificial intelligence (AI) is well known as a robust technique that can support and improve the quality of human life. In the mining industry, the applications of artificial intelligence have changed the sciences and technologies as well as the performance of the mining industry through machine learning, autonomous technologies that provide many economic benefits to the mining industry by reducing costs, efficiency and improving productivity. In principle, reducing the exposure of workers to hazardous conditions, continuous production and improved safety are the most beneficial factors of the implementation of artificial intelligence in the mining sector, coming to the aid of workers in this field.\nIn recent years, the adoption of artificial intelligence has changed the game in the mining industry by enabling more efficient exploration, taking automation to new levels, generating higher yields, improving safety and maximizing extraction, maintenance and operational performance.\nThis paper aims to highlight the multiple advantages that the implementation of artificial intelligence in the mining industry has for the health and safety of mining workers.<\/jats:p>","DOI":"10.5593\/sgem2024\/1.1\/s03.40","type":"proceedings-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T12:26:12Z","timestamp":1733315172000},"page":"303-310","source":"Crossref","is-referenced-by-count":1,"title":["HEALTH AND SAFETY OF WORKERS IN THE MINING INDUSTRY FOLLOWING THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE"],"prefix":"10.5593","volume":"24","author":[{"given":"Matei Andrada","family":"Denisa","sequence":"first","affiliation":[{"name":"National Institute for Research and Development in Mine Safety and Protection to Explosion \ufffd INSEMEX Petrosani,","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ligia Ioana","family":"Tuhut","sequence":"additional","affiliation":[{"name":"National Institute for Research and Development in Mine Safety and Protection to Explosion \ufffd INSEMEX Petrosani,","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Morar Marius","family":"Simion","sequence":"additional","affiliation":[{"name":"National Institute for Research and Development in Mine Safety and Protection to Explosion \ufffd INSEMEX Petrosani,","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cioara Cristian","family":"Raul","sequence":"additional","affiliation":[{"name":"National Institute for Research and Development in Mine Safety and Protection to Explosion \ufffd INSEMEX Petrosani,","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florein","family":"Manea","sequence":"additional","affiliation":[{"name":"National Institute for Research and Development in Mine Safety and Protection to Explosion \ufffd INSEMEX Petrosani,","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3602","reference":[{"key":"ref=1","unstructured":"[1] Jack G - How AI Could Revolutionize the Mining Industry in the Next Decade - Pretoria, Gauteng, South Africa, 2023."},{"key":"ref=2","unstructured":"[2] https:\/\/www.identecsolutions.com\/mining-safety"},{"key":"ref=3","doi-asserted-by":"crossref","unstructured":"[3] Zeshan Hyder, Keng Siau, Fiona Nah - Artificial Intelligence, Machine Learning, and Autonomous Technologies in Mining Industry, Journal of Database Management (JDM), Volume 30, 2019.","DOI":"10.4018\/JDM.2019040104"},{"key":"ref=4","unstructured":"[4] Assoc. Prof. Dr. Imran ASLAN1, Nour El Houda BENHARKAT2, Souad Bentaalla-Kaced \ufffd Cesser - The applications of artificial intelligence in occupational health and safety, 7TH International conference onemprical social sciences, economy, management and education researches, November 10 - 12, 2023 - Jakarta \ufffd Indonesia."},{"key":"ref=5","unstructured":"[5] https:\/\/www.axora.com\/insights\/how-ai-is-being-used-to-improve-health-and-safety-in-mining"},{"key":"ref=6","doi-asserted-by":"crossref","unstructured":"[6] K. Lalitha, G. Ramya, M. Shunmugathammal - AI based Safety Helmet for Mining workers using IoT Technology and ARM Cortex-M, IEEE Sensors Journal, vol. 23, issue 18, pp. 21355-21362, September 2023.","DOI":"10.1109\/JSEN.2023.3296523"},{"key":"ref=7","unstructured":"[7] https:\/\/cleste.ro\/modul-senzor-detector-gaz-mq-135.html"},{"key":"ref=8","unstructured":"[8] https:\/\/miningdigital.com\/articles\/top-10-uses-of-artificial-intelligence-in-mining"},{"key":"ref=9","unstructured":"[9] Glenn Stewart - AI in the Mining Industry, Manchester, England, United Kingdom, May 2023."}],"event":{"name":"24th SGEM International Multidisciplinary Scientific GeoConference 24","theme":"Earth and Planetary Sciences","location":"Albena, Bulgaria","acronym":"SGEM24","number":"24","sponsor":["SGEM WORLD SCIENCE (SWS) Scholarly Society, Austria"],"start":{"date-parts":[[2024,7,1]]},"end":{"date-parts":[[2024,7,7]]}},"container-title":["SGEM International Multidisciplinary Scientific GeoConference\ufffd EXPO Proceedings","24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Science and Technologies in Geology, Exploration And Mining, Vol 24, Issue 1.1"],"original-title":[],"deposited":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T19:28:16Z","timestamp":1782415696000},"score":1,"resource":{"primary":{"URL":"https:\/\/epslibrary.at\/items\/ae7a8307-282c-4dfd-af52-2251bb5ecfe8\/health-and-safety-of-workers-in-the-mining-industry-following-the-implementation-of-artifi"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,15]]},"references-count":9,"URL":"https:\/\/doi.org\/10.5593\/sgem2024\/1.1\/s03.40","relation":{},"ISSN":["1314-2704"],"issn-type":[{"value":"1314-2704","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11,15]]}}}