{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:23Z","timestamp":1750220483323,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:00:00Z","timestamp":1634860800000},"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":[[2021,10,22]]},"DOI":"10.1145\/3501409.3501507","type":"proceedings-article","created":{"date-parts":[[2022,1,2]],"date-time":"2022-01-02T06:18:12Z","timestamp":1641104292000},"page":"537-541","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Radar Plot Classification Based on Machine Learning"],"prefix":"10.1145","author":[{"given":"Zhengcheng","family":"Liu","sequence":"first","affiliation":[{"name":"The 723 Institute of CSIC, Yangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongmei","family":"Qi","sequence":"additional","affiliation":[{"name":"The 723 Institute of CSIC, Yangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Dai","sequence":"additional","affiliation":[{"name":"The 723 Institute of CSIC, Yangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,12,31]]},"reference":[{"issue":"2","key":"e_1_3_2_1_1_1","first-page":"6","article-title":"Technology of meteorological clutter suppression based on plot characteristic[J]","volume":"46","author":"Wang X","year":"2017","unstructured":"Wang X, Cai X Y, et al, Technology of meteorological clutter suppression based on plot characteristic[J], Fire Control Radar Technology, 2017, 46(2):6--14.","journal-title":"Fire Control Radar Technology"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2774262"},{"key":"e_1_3_2_1_3_1","first-page":"4803","article-title":"The detection of range extended target based on adaptive searching and twofold sliding windows","author":"Xu H","year":"2010","unstructured":"Xu H, Ma F, Jiang T, \"The detection of range extended target based on adaptive searching and twofold sliding windows,\" International Conference on Electrical and Control Engineering, 2010, pp. 4803--4806.","journal-title":"International Conference on Electrical and Control Engineering"},{"issue":"5","key":"e_1_3_2_1_4_1","first-page":"1137","article-title":"A post-processing method for weak target detection based on reconstruction algorithm","volume":"28","author":"Wang Zhenyu","year":"2007","unstructured":"Wang Zhenyu, Zhou Ning, \"A post-processing method for weak target detection based on reconstruction algorithm,\" Acta Aeronautica Sinica, vol.28 (5), pp.1137--1141, 2007.","journal-title":"Acta Aeronautica Sinica"},{"key":"e_1_3_2_1_5_1","unstructured":"Yingchao Zhou Ying Chen Xinbao Ning \"Research on multi radar data machine recognition method based on v-SVM \" Science and technology and engineering vol.8 (23) pp. 6224--6227 2008."},{"key":"e_1_3_2_1_6_1","unstructured":"Linhai Guan \"Research on plot filtering technology of ground intelligence radar \" Electronic technology and software engineering vol.17 pp. 119--121 2018."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"volume-title":"The nature of statistical learning theory[M]","year":"2000","key":"e_1_3_2_1_8_1","unstructured":"VLADIMIR N V. The nature of statistical learning theory[M]. New York: Springer, 2000."},{"issue":"3","key":"e_1_3_2_1_9_1","first-page":"24","article-title":"Time series prediction: using support vector machines: a survey[J]","volume":"11","year":"2009","unstructured":"NICHOLAS I, KEVYCH S, SANKAR R. Time series prediction: using support vector machines: a survey[J]. IEEE Computational Intelligence Magazine, 2009, 11 (3): 24--38.","journal-title":"IEEE Computational Intelligence Magazine"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.58357"},{"key":"e_1_3_2_1_11_1","volume-title":"A fast learning algorithm for deep belief nets[J]. Neural computation","author":"Hinton G E","year":"2006","unstructured":"Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets[J]. Neural computation, 2006, 18(7): 1527--1554."},{"key":"e_1_3_2_1_12_1","volume-title":"Neural Nets","author":"Bouvrie J.","year":"2006","unstructured":"Bouvrie J. Notes on Convolutional Neural Networks[J]. Neural Nets, 2006."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/3086952"}],"event":{"name":"EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering","acronym":"EITCE 2021","location":"Xiamen China"},"container-title":["Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3501409.3501507","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3501409.3501507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:01Z","timestamp":1750193341000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3501409.3501507"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,22]]},"references-count":13,"alternative-id":["10.1145\/3501409.3501507","10.1145\/3501409"],"URL":"https:\/\/doi.org\/10.1145\/3501409.3501507","relation":{},"subject":[],"published":{"date-parts":[[2021,10,22]]},"assertion":[{"value":"2021-12-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}