{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:37:16Z","timestamp":1742913436920,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031505799"},{"type":"electronic","value":"9783031505805"}],"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\/978-3-031-50580-5_10","type":"book-chapter","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T07:02:40Z","timestamp":1708412560000},"page":"109-118","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Coke Quality Prediction Based on Blast Furnace Smelting Process Data"],"prefix":"10.1007","author":[{"given":"ShengWei","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Xiaoting","family":"Li","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Zhaosong","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"LiPing","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,21]]},"reference":[{"issue":"2","key":"10_CR1","first-page":"4","volume":"39","author":"L Dunshi","year":"2019","unstructured":"Dunshi, L.: Review of China\u2019s coal economic operation Situation and Future market Outlook in 2018. Coal Econ. Res. 39(2), 4\u201311 (2019)","journal-title":"Coal Econ. Res."},{"key":"10_CR2","first-page":"60","volume":"04","author":"X Shunguo","year":"2020","unstructured":"Shunguo, X.: Restarting practice of large coke oven cold furnace. Baosteel Technology 04, 60\u201364 (2020)","journal-title":"Baosteel Technology"},{"key":"10_CR3","unstructured":"Shuguang: Research on energy conservation and emission reduction process of energy flow orderly in coking recovery system. Wuhan University of Science and Technology (2014)"},{"key":"10_CR4","unstructured":"Hate and joy: Study on influence factors of reactivity and post-reaction strength of single coal coking coke. Shanxi Coking Coal Science and Technology 45(12), 14\u201317 (2021)"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Zhou, P., Jiang, Y., Wen, C., Dai, X.: Improved incremental RVFL with compact structure and its application in quality prediction of blast furnace. IEEE Transactions on Industrial Informatics. https:\/\/doi.org\/10.1109\/TII.2021.3069869","DOI":"10.1109\/TII.2021.3069869"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Golovko, M.B., Drozdnik, I.D., Miroshnichenko, D.V., et al.: Predicting the yield of coking by products on the basis of elementary and petrographic analysis of the coal batch. Coke and Chemistry 55(6), 204\u2013214 (2012)","DOI":"10.3103\/S1068364X12060038"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Got, A., Moussaoui, A., Zouache, D.: A guided population archive whale optimization algorithm for solving multiobjective optimization problems. Expert Systems with Application 141(Mar.), 112972 (2020). 1-112972.15","DOI":"10.1016\/j.eswa.2019.112972"},{"key":"10_CR8","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.swevo.2019.05.007","volume":"49","author":"C Xcab","year":"2019","unstructured":"Xcab, C., Mi, H., Dg, D., et al.: A decomposition-based coevolutionary multiobjective local search for combinatorial multiobjective optimization. Swarm Evol. Comput. 49, 178\u2013193 (2019)","journal-title":"Swarm Evol. Comput."},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Bandyopadhyay, S., Saha, S., Maulik, U., et al.: A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA. IEEE Transactions on Evolutionary Computation 12(3), 269\u2013283 (2008)","DOI":"10.1109\/TEVC.2007.900837"},{"key":"10_CR10","unstructured":"Zhang, Q., Zhou, A., Zhao, S., et al.: Multiobjective optimization test instances for the CEC 2009 special session and competition. Mechanical Engineering (New York, N.Y. 1919), 1\u201330 (2008)"},{"key":"10_CR11","unstructured":"Deb, K., Jain, H.: An Evolutionary Many-Objective Optimization Algorithm Using"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. IEEE Transactions on Evolutionary Computation 18(4), 577\u2013601 (2014)","DOI":"10.1109\/TEVC.2013.2281535"},{"issue":"4","key":"10_CR13","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1109\/TEVC.2013.2281534","volume":"18","author":"H Jain","year":"2014","unstructured":"Jain, H., Deb, K.: An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part II: handling constraints and extending to an adaptive approach. IEEE Trans. Evol. Comput. 18(4), 602\u2013622 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"11","key":"10_CR14","doi-asserted-by":"publisher","first-page":"8778","DOI":"10.1109\/TIE.2018.2811371","volume":"65","author":"J Hu","year":"2018","unstructured":"Hu, J., Wu, M., Chen, X., et al.: A multilevel prediction model of carbon efficiency based on the differential evolution algorithm for the iron ore sintering process. IEEE Trans. Industr. Electron. 65(11), 8778\u20138787 (2018)","journal-title":"IEEE Trans. Industr. Electron."},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Chen, H.J., Bai, J.F.: A coke quality prediction model based on support vector machine. Advanced Materials Research 690\u2013693, 3097\u20133101 (2013)","DOI":"10.4028\/www.scientific.net\/AMR.690-693.3097"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Malyi, E.I.: Modification of poorly clinkering coal for use in coking. Coke and Chemistry, 87\u201390 (2014)","DOI":"10.3103\/S1068364X14030028"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Yan, S., Zhao, H., Liu, L., et al.: Application study of sigmoid regularization method in coke quality prediction. Complexity, 220\u2013224 (2020)","DOI":"10.1155\/2020\/8785047"},{"key":"10_CR18","unstructured":"Bang, Z., Lu, C., Zhang, S., Song, S.: Research on coke quality prediction model based on TSSA-SVR model. China Mining, 1\u20138 (2022)"},{"key":"10_CR19","unstructured":"Wu, Y., Liu, H., Zhang, D., Zheng, M.: Research and application of multiple linear regression analysis prediction model for coke cold strength. Journal of Wanxi University 31(05), 51\u201354+60 (2015)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Multimedia Technology and Enhanced Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50580-5_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T07:30:18Z","timestamp":1708414218000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50580-5_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031505799","9783031505805"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50580-5_10","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICMTEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Technology and Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leicester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"28 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icmtel.eai-conferences.org\/2023\/","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":"Confy Plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"285","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":"121","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":"42% - 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":"3.1","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":"6.5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}