{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:24:18Z","timestamp":1743092658718,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":9,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819708260"},{"type":"electronic","value":"9789819708277"}],"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\/978-981-97-0827-7_11","type":"book-chapter","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T11:02:50Z","timestamp":1709204570000},"page":"123-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Design and Implementation of CNN-Based DTTB Image Intelligent Fault Diagnosis Platform"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3738-3436","authenticated-orcid":false,"given":"Qian","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5171-369X","authenticated-orcid":false,"given":"Xianbin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6105-2324","authenticated-orcid":false,"given":"Long","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,1]]},"reference":[{"issue":"7","key":"11_CR1","first-page":"62","volume":"47","author":"JF Sun","year":"2023","unstructured":"Sun, J.: The application of artificial intelligence technology in radio and television engineering. Video Eng. 47(7), 62\u201364 (2023)","journal-title":"Video Eng."},{"issue":"7","key":"11_CR2","first-page":"172","volume":"47","author":"XF Wan","year":"2023","unstructured":"Wan, X., Jiao, J.L.S., Xia, M.G.T.: The application of artificial intelligence-based virtual digital human in radio and television engineering. Video Eng. 47(7), 172\u2013174 (2023)","journal-title":"Video Eng."},{"issue":"7","key":"11_CR3","first-page":"163","volume":"47","author":"XF Chen","year":"2023","unstructured":"Chen, X.: Application of artificial intelligence in radio and television program recommendation system. Video Eng. 47(7), 163\u2013165 (2023)","journal-title":"Video Eng."},{"issue":"10","key":"11_CR4","first-page":"120","volume":"42","author":"JJF Li","year":"2015","unstructured":"Li, J.: Research on DTTV monitoring technology. Radio TV Broadcast Eng. 42(10), 120\u2013122 (2015)","journal-title":"Radio TV Broadcast Eng."},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"93155","DOI":"10.1109\/ACCESS.2020.2990528","volume":"8","author":"DF Neupane","year":"2020","unstructured":"Neupane, D., Seok, J.S.: Bearing fault detection and diagnosis using case western reserve university dataset with deep learning approaches: a review. IEEE Access 8, 93155\u201393178 (2020)","journal-title":"IEEE Access"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Sandler, M., et al.: Mobilenetv2: inverted residuals and linear bottlenecks. In: 31st Meeting of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018, pp. 4510\u20134520. IEEE Computer Society, Salt Lake City, UT, United states (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"11_CR7","unstructured":"Iandola, N., et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size. arXiv preprint: arXiv:1602.07360 (2016)"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"He, K., et al.: Deep residual learning for image recognition. In: 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, pp. 770\u2013778. IEEE Computer Society, Las Vegas, NV, United states (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"11_CR9","doi-asserted-by":"publisher","unstructured":"Ma, N., et al.: Shufflenet V2: practical guidelines for efficient CNN architecture design. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision \u2013 ECCV 2018. ECCV 2018. Lecture Notes in Computer Science(), vol. 11218, pp. 122\u2013138. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01264-9_8","DOI":"10.1007\/978-3-030-01264-9_8"}],"container-title":["Communications in Computer and Information Science","Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-0827-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T11:07:22Z","timestamp":1709204842000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0827-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819708260","9789819708277"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0827-7_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applied Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanning","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":"8 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icai12023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icai.org.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}