{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:46:26Z","timestamp":1743144386072,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031430770"},{"type":"electronic","value":"9783031430787"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43078-7_40","type":"book-chapter","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T18:02:23Z","timestamp":1696096943000},"page":"491-502","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Approach to\u00a0Jominy Profile Prediction Based on\u00a01D Convolutional Neural Networks and\u00a0Autoencoders that\u00a0Supports Transfer Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6115-1588","authenticated-orcid":false,"given":"Marco","family":"Vannucci","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9574-0575","authenticated-orcid":false,"given":"Valentina","family":"Colla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"key":"40_CR1","doi-asserted-by":"crossref","unstructured":"Cateni, S., Colla, V., Vannucci, M., Vannocci, M.: Prediction of steel hardenability and related reliability through neural networks. In: IASTED Multiconferences-Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA, pp. 169\u2013174 (2013)","DOI":"10.2316\/P.2013.793-013"},{"issue":"23","key":"40_CR2","doi-asserted-by":"crossref","first-page":"16451","DOI":"10.1007\/s00521-021-06242-w","volume":"33","author":"V Colla","year":"2021","unstructured":"Colla, V., Desanctis, M., Dimatteo, A., Lovicu, G., Valentini, R.: Prediction of continuous cooling transformation diagrams for dual-phase steels from the intercritical region. Neural Comput. Appl. 33(23), 16451\u201316470 (2021)","journal-title":"Neural Comput. Appl."},{"issue":"3","key":"40_CR3","doi-asserted-by":"publisher","first-page":"217","DOI":"10.3233\/ICA-2000-7303","volume":"7","author":"V Colla","year":"2000","unstructured":"Colla, V., Reyneri, L.M., Sgarbi, M.: Neuro-wavelet parametric characterization of Jominy profiles of steels. Integr. Comput.-Aid. Eng. 7(3), 217\u2013228 (2000)","journal-title":"Integr. Comput.-Aid. Eng."},{"key":"40_CR4","unstructured":"Doane, D.V.: A critical review of hardenability predictors. Hardenability Concepts with Applications to Steel, pp. 351\u2013396 (1977)"},{"key":"40_CR5","unstructured":"Kirkaldy, J.: Prediction of microstructure and hardenability in low alloy steels. In: Proceedings of the International Conference on Phase Transformation in Ferrous Alloys, 1983. AIME (1983)"},{"issue":"3","key":"40_CR6","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1002\/srin.199700553","volume":"68","author":"J Komenda","year":"1997","unstructured":"Komenda, J., Sandstr\u00f6m, R., Tukiainen, M.: Multiple regression analysis of Jominy hardenability data for boron treated steels. Steel Res. 68(3), 132\u2013137 (1997)","journal-title":"Steel Res."},{"issue":"6","key":"40_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksus.2021.101453","volume":"33","author":"C Li","year":"2021","unstructured":"Li, C., Yin, C., Xu, X.: Hybrid optimization assisted deep convolutional neural network for hardening prediction in steel. J. King Saud Univ.-Sci. 33(6), 101453 (2021)","journal-title":"J. King Saud Univ.-Sci."},{"key":"40_CR8","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1007\/s11663-998-0101-3","volume":"29","author":"MV Li","year":"1998","unstructured":"Li, M.V., Niebuhr, D.V., Meekisho, L.L., Atteridge, D.G.: A computational model for the prediction of steel hardenability. Metall. and Mater. Trans. B. 29, 661\u2013672 (1998)","journal-title":"Metall. and Mater. Trans. B."},{"issue":"12","key":"40_CR9","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/s11837-003-0013-2","volume":"55","author":"N Saunders","year":"2003","unstructured":"Saunders, N., Guo, U., Li, X., Miodownik, A., Schill\u00e9, J.P.: Using JMatPro to model materials properties and behavior. JOM 55(12), 60\u201365 (2003)","journal-title":"JOM"},{"issue":"23","key":"40_CR10","doi-asserted-by":"publisher","first-page":"16451","DOI":"10.1007\/s00521-021-06242-w","volume":"33","author":"M Vannucci","year":"2021","unstructured":"Vannucci, M., Colla, V.: Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms. Neural Comput. Appl. 33(23), 16451\u201316470 (2021)","journal-title":"Neural Comput. Appl."},{"issue":"1\u20133","key":"40_CR11","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.jmatprotec.2007.08.035","volume":"199","author":"AZ Yazdi","year":"2008","unstructured":"Yazdi, A.Z., Sajjadi, S.A., Zebarjad, S.M., Nezhad, S.M.: Prediction of hardness at different points of Jominy specimen using quench factor analysis method. J. Mater. Process. Technol. 199(1\u20133), 124\u2013129 (2008)","journal-title":"J. Mater. Process. Technol."}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43078-7_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T18:06:00Z","timestamp":1696097160000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43078-7_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031430770","9783031430787"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43078-7_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ponta Delgada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"19 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"149","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"108","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,7","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}