{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T08:27:21Z","timestamp":1751963241821},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.5220\/0011276700003269","type":"proceedings-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T20:18:59Z","timestamp":1657829939000},"page":"400-407","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks"],"prefix":"10.5220","author":[{"given":"Wandercleiton","family":"Cardoso","sequence":"first","affiliation":[{"name":"Dipartimento di Ingegneria Civile, Chimica e Ambientale (DICCA), Universit\u00e0 degli Studi di Genova, Via All\u2019Opera Pia, 15, CAP 16145, Genova (GE), Italy, --- Select a Country ---"}]},{"given":"Rendo","family":"di Felice","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Civile, Chimica e Ambientale (DICCA), Universit\u00e0 degli Studi di Genova, Via All\u2019Opera Pia, 15, CAP 16145, Genova (GE), Italy, --- Select a Country ---"}]}],"member":"3171","event":{"name":"11th International Conference on Data Science, Technology and Applications","start":{"date-parts":[[2022,7,11]]},"location":"Lisbon, Portugal","end":{"date-parts":[[2022,7,13]]}},"container-title":["Proceedings of the 11th International Conference on Data Science, Technology and Applications"],"original-title":["Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks"],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T08:11:58Z","timestamp":1659687118000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0011276700003269"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0011276700003269","relation":{},"subject":[],"published":{"date-parts":[[2022]]}}}