{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:08:08Z","timestamp":1743037688058,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031534003"},{"type":"electronic","value":"9783031534010"}],"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\/978-3-031-53401-0_9","type":"book-chapter","created":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T00:13:44Z","timestamp":1710202424000},"page":"79-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on\u00a0Model Evaluation Technology Based on\u00a0Modulated Signal Identification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1263-3679","authenticated-orcid":false,"given":"Songlin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2489-8513","authenticated-orcid":false,"given":"Menghchao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1379-9301","authenticated-orcid":false,"given":"Yun","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,9]]},"reference":[{"issue":"5","key":"9_CR1","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/LWC.2019.2963828","volume":"9","author":"Y Liu","year":"2020","unstructured":"Liu, Y., Liu, Y., Yang, C.: Modulation recognition with graph convolutional network. IEEE Wirel. Commun. Lett. 9(5), 624\u2013627 (2020)","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"9","key":"9_CR2","doi-asserted-by":"publisher","first-page":"10085","DOI":"10.1109\/TVT.2020.3005707","volume":"69","author":"Y Tu","year":"2020","unstructured":"Tu, Y., Lin, Y., Hou, C., Mao, S.: Complex-valued networks for automatic modulation classification. IEEE Trans. Veh. Technol. 69(9), 10085\u201310089 (2020)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Wang, J., Qi, L., Han, Y.: Modulation recognition based on complex binarized neural network. In: 2022 9th International Conference on Dependable Systems and Their Applications (DSA), pp. 126\u2013132. IEEE (2022)","DOI":"10.1109\/DSA56465.2022.00024"},{"issue":"3","key":"9_CR4","first-page":"469","volume":"5","author":"Z Zhang","year":"2019","unstructured":"Zhang, Z., Wang, C., Gan, C., Sun, S., Wang, M.: Automatic modulation classification using convolutional neural network with features fusion of SPWVD and BJD. IEEE Trans. Signal Inf. Process. Netw. 5(3), 469\u2013478 (2019)","journal-title":"IEEE Trans. Signal Inf. Process. Netw."},{"issue":"9","key":"9_CR5","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.cja.2021.08.016","volume":"35","author":"T Ya","year":"2022","unstructured":"Ya, T., et al.: Large-scale real-world radio signal recognition with deep learning. Chin. J. Aeronaut. 35(9), 35\u201348 (2022)","journal-title":"Chin. J. Aeronaut."},{"issue":"1","key":"9_CR6","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1109\/JSTSP.2018.2797022","volume":"12","author":"TJ O\u2019Shea","year":"2018","unstructured":"O\u2019Shea, T.J., Roy, T., Clancy, T.C.: Over-the-air deep learning based radio signal classification. IEEE J. Sel. Top. Signal Process. 12(1), 168\u2013179 (2018)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Wang, J., Zha, H., Fu, J.: Evaluation of deep learning model in the field of electromagnetic signal recognition. In: IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1\u20136. IEEE (2022)","DOI":"10.1109\/INFOCOMWKSHPS54753.2022.9798184"},{"issue":"11","key":"9_CR8","doi-asserted-by":"publisher","first-page":"9012","DOI":"10.1109\/JIOT.2021.3120197","volume":"9","author":"Z Bao","year":"2021","unstructured":"Bao, Z., Lin, Y., Zhang, S., Li, Z., Mao, S.: Threat of adversarial attacks on dl-based IoT device identification. IEEE Internet Things J. 9(11), 9012\u20139024 (2021)","journal-title":"IEEE Internet Things J."},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Doan, V.-S., Huynh-The, T., Hua, C.-H., Pham, Q.-V., Kim, D.-S.: Learning constellation map with deep CNN for accurate modulation recognition. In: GLOBECOM 2020-2020 IEEE Global Communications Conference, pp. 1\u20136. IEEE (2020)","DOI":"10.1109\/GLOBECOM42002.2020.9348129"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Zhao, H., Lin, Y., Gao, S., Yu, S.: Evaluating and improving adversarial attacks on DNN-based modulation recognition. In: GLOBECOM 2020-2020 IEEE Global Communications Conference, pp. 1\u20135. IEEE (2020)","DOI":"10.1109\/GLOBECOM42002.2020.9322088"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"26313","DOI":"10.1109\/ACCESS.2021.3054756","volume":"9","author":"Z Cai","year":"2021","unstructured":"Cai, Z., Wang, J., Ma, M.: The performance evaluation of big data-driven modulation classification in complex environment. IEEE Access 9, 26313\u201326322 (2021)","journal-title":"IEEE Access"},{"issue":"1","key":"9_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-019-0197-0","volume":"6","author":"C Shorten","year":"2019","unstructured":"Shorten, C., Khoshgoftaar, T.M.: A survey on image data augmentation for deep learning. J. Big Data 6(1), 1\u201348 (2019)","journal-title":"J. Big Data"},{"key":"9_CR13","unstructured":"Kurakin, A., Goodfellow, I., Bengio, S.: Adversarial machine learning at scale, arXiv preprint arXiv:1611.01236 (2016)"},{"key":"9_CR14","unstructured":"Madry, A., Makelov, A., Schmidt, L., Tsipras, D., Vladu, A.: Towards deep learning models resistant to adversarial attacks, arXiv preprint arXiv:1706.06083 (2017)"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Dong, Y., et al.: Boosting adversarial attacks with momentum. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9185\u20139193 (2018)","DOI":"10.1109\/CVPR.2018.00957"},{"key":"9_CR16","series-title":"CCIS","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-319-44188-7_16","volume-title":"EANN 2016","author":"TJ O\u2019Shea","year":"2016","unstructured":"O\u2019Shea, T.J., Corgan, J., Clancy, T.C.: Convolutional radio modulation recognition networks. In: Jayne, C., Iliadis, L. (eds.) EANN 2016. CCIS, vol. 629, pp. 213\u2013226. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-44188-7_16"},{"issue":"10","key":"9_CR17","doi-asserted-by":"publisher","first-page":"1629","DOI":"10.1109\/LWC.2020.2999453","volume":"9","author":"J Xu","year":"2020","unstructured":"Xu, J., Luo, C., Parr, G., Luo, Y.: A spatiotemporal multi-channel learning framework for automatic modulation recognition. IEEE Wirel. Commun. Lett. 9(10), 1629\u20131632 (2020)","journal-title":"IEEE Wirel. Commun. Lett."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","6GN for Future Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53401-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T00:38:51Z","timestamp":1710203931000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53401-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031534003","9783031534010"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53401-0_9","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":"9 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"6GN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on 6GN for Future Wireless Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"7 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"gwn2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/5gwn.eai-conferences.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}