{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:39Z","timestamp":1750309599695,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T00:00:00Z","timestamp":1731024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,8]]},"DOI":"10.1145\/3708360.3708361","type":"proceedings-article","created":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T06:18:12Z","timestamp":1736835492000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Prediction of Short-term Traffic Flow Based on Dynamic Convolutional Neural Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8260-8018","authenticated-orcid":false,"given":"Jilin","family":"Jiang","sequence":"first","affiliation":[{"name":"College of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7604-5782","authenticated-orcid":false,"given":"Kefeng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2324-238X","authenticated-orcid":false,"given":"Jinyang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, China"}]}],"member":"320","published-online":{"date-parts":[[2025,1,13]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2975213"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16653"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330790"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2423102"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950721"},{"key":"e_1_3_3_1_7_2","volume-title":"Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS), 2437-2445","author":"Feng J.","year":"2017","unstructured":"Feng, J., & Yu, L. (2017). Deep Spatio-Temporal Neural Network for Traffic Prediction. Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS), 2437-2445."},{"key":"e_1_3_3_1_8_2","volume-title":"Ba J. Adam: A method for stochastic optimization[A]","author":"Kingma D P","year":"2014","unstructured":"Kingma D P, Ba J. Adam: A method for stochastic optimization[A]. 2014."},{"key":"e_1_3_3_1_9_2","unstructured":"Wang L Geng X Ma X et al. Crowd flow prediction by deep spatiotemporal transfer learning[A]. 2018"},{"key":"e_1_3_3_1_10_2","volume-title":"Going deeper with convolutions[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Szegedy C","year":"2015","unstructured":"Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015: 1-9."}],"event":{"name":"ICMML 2024: 2024 International Conference on Mathematics and Machine Learning","acronym":"ICMML 2024","location":"Nanjing China"},"container-title":["Proceedings of the 2024 International Conference on Mathematics and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708360.3708361","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3708360.3708361","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:57:07Z","timestamp":1750298227000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708360.3708361"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,8]]},"references-count":10,"alternative-id":["10.1145\/3708360.3708361","10.1145\/3708360"],"URL":"https:\/\/doi.org\/10.1145\/3708360.3708361","relation":{},"subject":[],"published":{"date-parts":[[2024,11,8]]},"assertion":[{"value":"2025-01-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}