{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:11:58Z","timestamp":1742915518634,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031505768"},{"type":"electronic","value":"9783031505775"}],"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\/978-3-031-50577-5_15","type":"book-chapter","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T08:02:33Z","timestamp":1708416153000},"page":"200-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Global Planning Method of Village Public Space Based on Deep Neural Network"],"prefix":"10.1007","author":[{"given":"Xiaoli","family":"Duan","sequence":"first","affiliation":[]},{"given":"Sen","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,21]]},"reference":[{"key":"15_CR1","unstructured":"Cristescu, A.: In: Peter, N., Karima, K., Adriana, K.-M. (eds.) Sustainable Villages and Green Landscapes in the \u20acNew Urban World\u20ac,Shaker Publishing, 2019. Romanian Journal of Regional Science 15(1), 126\u2013128 (2021)"},{"issue":"13","key":"15_CR2","doi-asserted-by":"publisher","first-page":"27959","DOI":"10.1109\/ACCESS.2021.3058267","volume":"1","author":"Y Xu","year":"2021","unstructured":"Xu, Y., Zhao, B., Zhai, Y., et al.: Maize diseases identification method based on multi-scale convolutional global pooling neural network. IEEE Access 1(13), 27959\u201327970 (2021)","journal-title":"IEEE Access"},{"issue":"1","key":"15_CR3","first-page":"46","volume":"234","author":"Q Zheng","year":"2020","unstructured":"Zheng, Q., Fu, D., Wang, Y., et al.: A study on global optimization and deep neural network modeling method in performance-seeking control. Proceedings of the Institution of Mechanical Engineers 234(1), 46\u201359 (2020)","journal-title":"Proceedings of the Institution of Mechanical Engineers"},{"issue":"12","key":"15_CR4","first-page":"1","volume":"12","author":"RD Brown","year":"2021","unstructured":"Brown, R.D.: Estimating terrestrial radiation for human thermal comfort in outdoor urban space. Atmosphere 12(12), 1\u201310 (2021)","journal-title":"Atmosphere"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Widyaningsih, E., Radiaswari, D.A.R.: Lost Space Utilization for Public Activities at Railway Crossing in Mejing and Sedayu Village, Yogyakarta. Journal of Physics: Conference Series 1823(1), 12\u201318 (2021)","DOI":"10.1088\/1742-6596\/1823\/1\/012018"},{"issue":"8","key":"15_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/stc.2552","volume":"27","author":"M Kohiyama","year":"2020","unstructured":"Kohiyama, M., Oka, K., Yamashita, T.: Detection method of unlearned pattern using support vector machine in damage classification based on deep neural network. Struct. Control. Health Monit. 27(8), 1\u201323 (2020)","journal-title":"Struct. Control. Health Monit."},{"issue":"1","key":"15_CR7","first-page":"12","volume":"638","author":"X Jin","year":"2021","unstructured":"Jin, X., Xiong, J., Gu, D., et al.: Research on ship route planning method based on neural network wave data forecast. IOP Conference Series: Earth and Environmental Science 638(1), 12\u201333 (2021)","journal-title":"IOP Conference Series: Earth and Environmental Science"},{"issue":"8","key":"15_CR8","first-page":"68","volume":"531","author":"A Xw","year":"2020","unstructured":"Xw, A., Qt, A., Lz, B.: A deep neural network of multi-form alliances for personalized recommendations. Inf. Sci. 531(8), 68\u201386 (2020)","journal-title":"Inf. Sci."},{"issue":"4","key":"15_CR9","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1088\/1361-6560\/abd956","volume":"66","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Wu, X., Gach, H.M., et al.: GroupRegNet: a groupwise one-shot deep learning-based 4D image registration method. Phys. Med. Biol. 66(4), 45\u201357 (2021)","journal-title":"Phys. Med. Biol."},{"issue":"9","key":"15_CR10","doi-asserted-by":"publisher","first-page":"24884","DOI":"10.1109\/ACCESS.2021.3057485","volume":"2","author":"R Xie","year":"2021","unstructured":"Xie, R., Meng, Z., Wang, L., et al.: Unmanned aerial vehicle path planning algorithm based on deep reinforcement learning in large-scale and dynamic environments. IEEE Access 2(9), 24884\u201324900 (2021)","journal-title":"IEEE Access"},{"issue":"1","key":"15_CR11","first-page":"231","volume":"38","author":"L Xiaoyuan","year":"2021","unstructured":"Xiaoyuan, L., Liyan, Z., Jun, L., et al.: Mining outliers in multi-scale time series data based on neural network technology. Computer Simulation 38(1), 231\u2013235 (2021)","journal-title":"Computer Simulation"}],"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\/978-3-031-50577-5_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T08:04:33Z","timestamp":1708416273000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50577-5_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031505768","9783031505775"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50577-5_15","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)"}}]}}