{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T04:08:14Z","timestamp":1729051694014},"publisher-location":"Cham","reference-count":8,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031733437","type":"print"},{"value":"9783031733444","type":"electronic"}],"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\/978-3-031-73344-4_43","type":"book-chapter","created":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T05:01:40Z","timestamp":1728968500000},"page":"507-511","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning-Driving Cellular Automata: Application in Urban Engineering"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0009-0008-6517-0402","authenticated-orcid":false,"given":"Ihcene","family":"Djouama","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4773-1268","authenticated-orcid":false,"given":"Nabil","family":"Kadache","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4082-8158","authenticated-orcid":false,"given":"Rachid","family":"Seghir","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,16]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","unstructured":"Gharaibeh, A., Shaamala, A., Obeidat, R., Al-Kofahi, S.: Improving land-use change modeling by integrating ann with cellular automata-markov chain model. Heliyon 6(9), e05092 (2020). https:\/\/doi.org\/10.1016\/j.heliyon.2020.e05092. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2405844020319356","DOI":"10.1016\/j.heliyon.2020.e05092"},{"key":"43_CR2","doi-asserted-by":"publisher","unstructured":"Jhaveri, R., Kadiyala, R., Raut, R.: A review on machine learning strategies for real-world engineering applications. Mobile Information Systems 2022, 1\u201326 (2022). https:\/\/doi.org\/10.1155\/2022\/1833507","DOI":"10.1155\/2022\/1833507"},{"key":"43_CR3","doi-asserted-by":"publisher","unstructured":"Ou, C., Yang, J., Du, Z., Zhang, X., Zhu, D.: Integrating cellular automata with unsupervised deep-learning algorithms: A case study of urban-sprawl simulation in the jingjintang urban agglomeration, china. Sustainability 11 (2019). https:\/\/doi.org\/10.3390\/su11092464","DOI":"10.3390\/su11092464"},{"key":"43_CR4","doi-asserted-by":"publisher","unstructured":"Saputra, M.H., Lee, H.S.: Prediction of land use and land cover changes for north sumatra, indonesia, using an artificial-neural-network-based cellular automaton. Sustainability 11(11) (2019). https:\/\/doi.org\/10.3390\/su11113024. https:\/\/www.mdpi.com\/2071-1050\/11\/11\/3024","DOI":"10.3390\/su11113024"},{"key":"43_CR5","unstructured":"Wolfram, S.: Theory and applications of cellular automata, tables of cellular automaton properties. In: Scientific, W. (ed.) Advanced Series on Complex Systems, pp. 485\u2013557. Singapore (1986)"},{"key":"43_CR6","doi-asserted-by":"publisher","unstructured":"Wu, X., Liu, X., Zhang, D., Zhang, J., He, J., Xu, X.: Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of huizhou, China. GIScience & Remote Sensing 59(1), 609\u2013632 (2022). https:\/\/doi.org\/10.1080\/15481603.2022.2049493. https:\/\/ doi.org\/https:\/\/doi.org\/10.1080\/15481603.2022.2049493","DOI":"10.1080\/15481603.2022.2049493 10.1080\/15481603.2022.2049493"},{"key":"43_CR7","doi-asserted-by":"publisher","unstructured":"Xu, T., Zhou, D., Li, Y.: Integrating anns and cellular automata-markov chain to simulate urban expansion with annual land use data. Land 11(7) (2022). https:\/\/doi.org\/10.3390\/land11071074. https:\/\/www.mdpi.com\/2073-445X\/11\/7\/1074","DOI":"10.3390\/land11071074"},{"issue":"7","key":"43_CR8","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1080\/13658816.2020.1711915","volume":"34","author":"Y Zhai","year":"2020","unstructured":"Zhai, Y., et al.: Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata. Int. J. Geogr. Inf. Sci.Geogr. Inf. Sci. 34(7), 1475\u20131499 (2020). https:\/\/doi.org\/10.1080\/13658816.2020.1711915","journal-title":"Int. J. Geogr. Inf. Sci.Geogr. Inf. Sci."}],"container-title":["Lecture Notes in Networks and Systems","Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference (NiDS 2024)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73344-4_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T05:05:42Z","timestamp":1728968742000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73344-4_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031733437","9783031733444"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73344-4_43","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NiDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Novel & Intelligent Digital Systems Conferences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nids2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}