{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:03:10Z","timestamp":1743084190572,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031456503"},{"type":"electronic","value":"9783031456510"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-45651-0_26","type":"book-chapter","created":{"date-parts":[[2024,2,14]],"date-time":"2024-02-14T04:26:24Z","timestamp":1707884784000},"page":"256-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Human Impact in\u00a0Complex Classification of\u00a0Steel Coils"],"prefix":"10.1007","author":[{"given":"Joaqu\u00edn","family":"Ordieres-Mer\u00e9","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Bello-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad","family":"Rajabi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jens","family":"Brandenburger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,15]]},"reference":[{"issue":"2","key":"26_CR1","doi-asserted-by":"publisher","first-page":"288","DOI":"10.3390\/met10020288","volume":"10","author":"TA Branca","year":"2020","unstructured":"Branca, T.A., et al.: The challenge of digitalization in the steel sector. Metals 10(2), 288 (2020)","journal-title":"Metals"},{"issue":"4","key":"26_CR2","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1177\/1536504219865226","volume":"61","author":"JK-U Brock","year":"2019","unstructured":"Brock, J.K.-U., Von Wangenheim, F.: Demystifying AI: what digital transformation leaders can teach you about realistic artificial intelligence. California Manag. Rev. 61(4), 110\u2013134 (2019)","journal-title":"California Manag. Rev."},{"key":"26_CR3","doi-asserted-by":"publisher","unstructured":"Chakraborty, A., et al.: Investigation of a surface defect and its elimination in automotive grade galvannealed steels. Eng. Failure Analy. 66, 455\u2013467 (2016). https:\/\/doi.org\/10.1016\/j.engfailanal.2016.05.010, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1350630716302837, issn: 1350-6307","DOI":"10.1016\/j.engfailanal.2016.05.010"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Chiarini, A.: Industry 4.0, quality management and TQM world. a systematic literature review and a proposed agenda for further research. TQM J. (2020)","DOI":"10.1108\/TQM-04-2020-0082"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Li, F., et al.: Ensemble machine learning systems for the estimation of steel quality control. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 2245\u20132252. IEEE (2018)","DOI":"10.1109\/BigData.2018.8622583"},{"issue":"8","key":"26_CR6","first-page":"317","volume":"4","author":"S Mishra","year":"2017","unstructured":"Mishra, S.: Handling imbalanced data: SMOTE vs. random undersampling\u2019. Int. Res. J. Eng. Technol. 4(8), 317\u2013320 (2017)","journal-title":"Int. Res. J. Eng. Technol."},{"key":"26_CR7","unstructured":"Pellegrini, G., et al.: Successful use case applications of artificial intelligence in the steel industry. In: Iron & Steel Technology (AIST), Digital Transformations, pp. 44\u201353 (2019)"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Perin, G., Buhan, I., Picek, S.: Learning when to stop: a mutual information approach to fight overfitting in profiled sidechannel analysis. Cryptology ePrint Archive (2020)","DOI":"10.1007\/978-3-030-89915-8_3"},{"issue":"1","key":"26_CR9","first-page":"1","volume":"6","author":"A Rose","year":"2021","unstructured":"Rose, A., Wandera, C., Favor, E.: Parameters influencing the hot dip galvanizing processes of sheet metal. Am. J. Mater. Synth. Process. 6(1), 1 (2021)","journal-title":"Am. J. Mater. Synth. Process."},{"issue":"11","key":"26_CR10","first-page":"11","volume":"5","author":"P Saravanan","year":"2018","unstructured":"Saravanan, P., Srikanth, S.: Surface defects and their control in hot dip galvanized and galvannealed sheets. Inter. J. Adv. Res. Chem. Sci. (Ijarcs) 5(11), 11\u201323 (2018)","journal-title":"Inter. J. Adv. Res. Chem. Sci. (Ijarcs)"},{"key":"26_CR11","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"26_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2019.106000","volume":"128","author":"G Song","year":"2020","unstructured":"Song, G., Song, K., Yan, Y.: Saliency detection for strip steel surface defects using multiple constraints and improved texture features. Opt. Lasers Eng. 128, 106000 (2020). https:\/\/doi.org\/10.1016\/j.optlaseng.2019.106000","journal-title":"Opt. Lasers Eng."},{"issue":"1","key":"26_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-022-11691-x","volume":"12","author":"J Villalba-Diez","year":"2022","unstructured":"Villalba-Diez, J., Gonz\u00e1lez-Marcos, A., Ordieres-Mer\u00e9, J.: Quantum cyber-physical systems. Sci. Rep. 12(1), 1\u201311 (2022)","journal-title":"Sci. Rep."},{"issue":"2","key":"26_CR14","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.ifacol.2022.04.216","volume":"55","author":"J Villalba-Diez","year":"2022","unstructured":"Villalba-Diez, J., et al.: Quantum deep learning for steel industry computer vision quality control. IFAC-PapersOnLine 55(2), 337\u2013342 (2022)","journal-title":"IFAC-PapersOnLine"}],"container-title":["Lecture Notes in Networks and Systems","Information Systems and Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-45651-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T14:36:15Z","timestamp":1739975775000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-45651-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031456503","9783031456510"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-45651-0_26","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"15 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WorldCIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"World Conference on Information Systems and Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pisa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"worldcist2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/worldcist.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}