{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:13:36Z","timestamp":1743070416957,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031625817"},{"type":"electronic","value":"9783031625824"}],"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\/978-3-031-62582-4_20","type":"book-chapter","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T08:10:19Z","timestamp":1719475819000},"page":"221-232","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning Algorithms for Process Optimization and Quality Prediction of Spinning in Textile Industries"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5446-9512","authenticated-orcid":false,"given":"Hye Kyung","family":"Choi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1626-9720","authenticated-orcid":false,"given":"Whan","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1250-4914","authenticated-orcid":false,"given":"Seyed Mohammad Mehdi","family":"Sajadieh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5610-5560","authenticated-orcid":false,"given":"Sang Do","family":"Noh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8780-6194","authenticated-orcid":false,"given":"Hyun Sik","family":"Son","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4281-1445","authenticated-orcid":false,"given":"Seung Bum","family":"Sim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,28]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"V\u00e1ncza, J., Do Noh, S., Yoon, H.S.: Preface for the special issue of green smart manufacturing.\u00a0Int. J. Precis. Eng. Manuf.-Green Tech.\u00a07, 545\u2013546 (2020)","DOI":"10.1007\/s40684-020-00218-2"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Kang, H.S., Lee, J.Y., Choi, S., et al.: Smart manufacturing: past research, present findings, and future directions.\u00a0Int. J. Precis. Eng. Manuf.-Green Tech.\u00a03, 111\u2013128 (2016)","DOI":"10.1007\/s40684-016-0015-5"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Li, C., Li, J., Li, Y., He, L., Fu, X., Chen, J.: Fabric defect detection in textile manufacturing: a survey of the state of the art. Secur. Commun. Networks 2021, 13 (2021). Article ID 9948808","DOI":"10.1155\/2021\/9948808"},{"key":"20_CR4","unstructured":"Kim, J.: Research Group of Polymer Frontiers, Chemical Engineering and Materials Research Information Center, Korea (2019)"},{"key":"20_CR5","unstructured":"Mikolov, T., Joulin, A., Chopra, S., Mathieu, M., Ranzato, M.A.: Learning longer memory in recurrent neural networks. arXiv preprint arXiv:1412.7753 (2014)"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Abel, T., Nguyen, P.V., Barad, M., et al.: Genetic demonstration of a role for PKA in the late phase of LTP and in hippocampus-based long term memory. Cell 88(5), 615\u2013626 (1997)","DOI":"10.1016\/S0092-8674(00)81904-2"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Kong, W., Dong, Z.Y., Jia, Y., et al.: Short-term residential load forecasting based on LSTM recurrent neural network. IEEE Trans. Smart Grid 10(1), 841\u2013851 (2019)","DOI":"10.1109\/TSG.2017.2753802"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Kong, W., Dong, Z.Y., Hill, D.J., et al.: Short-term residential load forecasting based on resident behaviour learning. IEEE Trans. Power Syst. 33(1), 1087\u20131088 (2017)","DOI":"10.1109\/TPWRS.2017.2688178"},{"issue":"1","key":"20_CR10","doi-asserted-by":"publisher","first-page":"160","DOI":"10.35833\/MPCE.2020.000321","volume":"9","author":"J Wang","year":"2021","unstructured":"Wang, J., Chen, X., Zhang, F., Chen, F., Xin, Y.: Building load forecasting using deep neural network with efficient feature fusion. J. Mod. Power Syst. Clean Energy 9(1), 160\u2013169 (2021)","journal-title":"J. Mod. Power Syst. Clean Energy"},{"issue":"2","key":"20_CR11","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/s12221-012-0253-2","volume":"13","author":"A Farooq","year":"2012","unstructured":"Farooq, A., Cherif, C.: Development of prediction system using artificial neural networks for the optimization of spinning process. Fibers Polym. 13(2), 253\u2013257 (2012)","journal-title":"Fibers Polym."},{"key":"20_CR12","doi-asserted-by":"publisher","first-page":"2091","DOI":"10.1016\/j.procs.2020.03.257","volume":"167","author":"A Yadav","year":"2020","unstructured":"Yadav, A., Jha, C.K., Sharan, A.: Optimizing LSTM for time series prediction in Indian stock market. Procedia Comput. Sci. 167, 2091\u20132100 (2020)","journal-title":"Procedia Comput. Sci."},{"key":"20_CR13","unstructured":"Salehinejad, H., Sankar, S., Barfett, J., Colak, E., Valaee, S.: Recent advances in recurrent neural networks. arXiv preprint arXiv:1801.01078 (2017)"},{"key":"20_CR14","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.neunet.2011.07.003","volume":"25","author":"D Monner","year":"2012","unstructured":"Monner, D., Reggia, J.A.: A generalized LSTM-like training algorithm for second-order recurrent neural networks. Neural Netw. 25, 70\u201383 (2012)","journal-title":"Neural Netw."},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Hu, Z.: Prediction model of rotor yarn quality based on CNN-LSTM. J. Sens. (2022)","DOI":"10.1155\/2022\/3955047"},{"issue":"10","key":"20_CR16","doi-asserted-by":"publisher","first-page":"2451","DOI":"10.1162\/089976600300015015","volume":"12","author":"FA Gers","year":"2000","unstructured":"Gers, F.A., Schmidhuber, J., Cummins, F.: Learning to forget: continual prediction with LSTM. Neural Comput. 12(10), 2451\u20132471 (2000)","journal-title":"Neural Comput."},{"issue":"1","key":"20_CR17","first-page":"71","volume":"27","author":"SI Pak","year":"2010","unstructured":"Pak, S.I., Oh, T.H.: The application of analysis of variance (ANOVA). J. Vet. Clin. 27(1), 71\u201378 (2010)","journal-title":"J. Vet. Clin."},{"issue":"3","key":"20_CR18","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1046\/j.1475-1313.2002.00020.x","volume":"22","author":"RA Armstrong","year":"2002","unstructured":"Armstrong, R.A., Eperjesi, F., Gilmartin, B.: The application of analysis of variance (ANOVA) to different experimental designs in optometry. Ophthalmic Physiol. Opt. 22(3), 248\u2013256 (2002)","journal-title":"Ophthalmic Physiol. Opt."}],"container-title":["IFIP Advances in Information and Communication Technology","Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-62582-4_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T08:13:21Z","timestamp":1719476001000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-62582-4_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031625817","9783031625824"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-62582-4_20","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"28 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PLM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Product Lifecycle Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montreal, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","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":"9 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"plm2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.plm-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}