{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:08:07Z","timestamp":1765040887186,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,12,8]],"date-time":"2018-12-08T00:00:00Z","timestamp":1544227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin City","doi-asserted-by":"publisher","award":["No.16JCYBJC42300 and 17JCQNJC04500"],"award-info":[{"award-number":["No.16JCYBJC42300 and 17JCQNJC04500"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011002","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702366, 61602344, 61602342 and 51607122"],"award-info":[{"award-number":["61702366, 61602344, 61602342 and 51607122"]}],"id":[{"id":"10.13039\/501100011002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,12,8]]},"DOI":"10.1145\/3297156.3297180","type":"proceedings-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T13:07:04Z","timestamp":1551359224000},"page":"385-388","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification"],"prefix":"10.1145","author":[{"given":"Hao","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin, China"}]},{"given":"Qingzeng","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin, China"}]},{"given":"Guanghao","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin, China"}]}],"member":"320","published-online":{"date-parts":[[2018,12,8]]},"reference":[{"volume-title":"Auditory-based processing of communication sounds","author":"Walters T. C.","key":"e_1_3_2_1_1_1","unstructured":"Walters , T. C. 2011. Auditory-based processing of communication sounds . J. University of Cambridge . Walters, T. C. 2011. Auditory-based processing of communication sounds. J. University of Cambridge."},{"volume-title":"Audio Based Event Detection for Multimedia Surveillance. IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE. 2006:V-V.","author":"Atrey P. K.","key":"e_1_3_2_1_2_1","unstructured":"Atrey , P. K. , Maddage , N. C. and Kankanhalli , M. S . 2006 . Audio Based Event Detection for Multimedia Surveillance. IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE. 2006:V-V. Atrey, P. K., Maddage, N. C. and Kankanhalli, M. S. 2006. Audio Based Event Detection for Multimedia Surveillance. IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE. 2006:V-V."},{"volume-title":"On the Use of Audio Events for Improving Video Scene Segmentation. International Workshop on Image Analysis for Multimedia Interactive Services. IEEE. 2010:1--4.","author":"Sidiropoulos P.","key":"e_1_3_2_1_3_1","unstructured":"Sidiropoulos , P. , Mezaris , V. and Kompatsiaris , I . 2010 . On the Use of Audio Events for Improving Video Scene Segmentation. International Workshop on Image Analysis for Multimedia Interactive Services. IEEE. 2010:1--4. Sidiropoulos, P., Mezaris, V. and Kompatsiaris, I. 2010. On the Use of Audio Events for Improving Video Scene Segmentation. International Workshop on Image Analysis for Multimedia Interactive Services. IEEE. 2010:1--4."},{"volume-title":"Deep Belief Nets","author":"Hinton G.","key":"e_1_3_2_1_4_1","unstructured":"Hinton , G. 2011. Deep Belief Nets . Springer US. Hinton, G. 2011. Deep Belief Nets. Springer US."},{"issue":"7","key":"e_1_3_2_1_5_1","first-page":"629","article-title":"LOFAR: The LOw-Frequency ARray","volume":"556","author":"Ardenne A. V.","year":"2013","unstructured":"Ardenne , A. V. , Batejat , F. and Conway , J. 2013 . LOFAR: The LOw-Frequency ARray . J. Astronomy & Astrophysics. 556 ( 7 ): 629 -- 635 . Ardenne, A. V., Batejat, F. and Conway, J. 2013. LOFAR: The LOw-Frequency ARray. J. Astronomy & Astrophysics. 556(7):629--635.","journal-title":"J. Astronomy & Astrophysics."},{"volume-title":"Conference on Decision and Control. IEEE. 2018:2724--2731","author":"Zhu P.","key":"e_1_3_2_1_6_1","unstructured":"Zhu , P. , Isaacs , J. and Fu , B . 2018. Deep learning feature extraction for target recognition and classification in underwater sonar images . Conference on Decision and Control. IEEE. 2018:2724--2731 . Zhu, P., Isaacs, J. and Fu, B. 2018. Deep learning feature extraction for target recognition and classification in underwater sonar images. Conference on Decision and Control. IEEE. 2018:2724--2731."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1214301"},{"volume-title":"The Classification of Underwater Acoustic Targets Based on Deep Learning Methods. International Conference on Control, Automation and Artificial Intelligence.","author":"Yue H.","key":"e_1_3_2_1_8_1","unstructured":"Yue , H. , Zhang , L. , and Wang , D . 2017 . The Classification of Underwater Acoustic Targets Based on Deep Learning Methods. International Conference on Control, Automation and Artificial Intelligence. Yue, H., Zhang, L., and Wang, D. 2017. The Classification of Underwater Acoustic Targets Based on Deep Learning Methods. International Conference on Control, Automation and Artificial Intelligence."},{"key":"e_1_3_2_1_9_1","unstructured":"Lecun Y. LeNet-5 convolutional neural networks. J.  Lecun Y. LeNet-5 convolutional neural networks. J."},{"volume-title":"International Conference on Neural Information Processing Systems. Curran Associates Inc. 2012:1097--1105","author":"Krizhevsky A.","key":"e_1_3_2_1_10_1","unstructured":"Krizhevsky , A. , Sutskever , I and Hinton , G. E . 2012. ImageNet classification with deep convolutional neural networks . International Conference on Neural Information Processing Systems. Curran Associates Inc. 2012:1097--1105 . Krizhevsky, A., Sutskever, I and Hinton, G. E. 2012. ImageNet classification with deep convolutional neural networks. International Conference on Neural Information Processing Systems. Curran Associates Inc. 2012:1097--1105."},{"issue":"4","key":"e_1_3_2_1_11_1","first-page":"3","article-title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","volume":"56","author":"Han S.","year":"2015","unstructured":"Han , S. , Mao , H. and Dally , W. J. 2015 . Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding . J. Fiber. 56 ( 4 ): 3 -- 7 . Han, S., Mao, H. and Dally, W. J. 2015. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. J. Fiber. 56(4):3--7.","journal-title":"J. Fiber."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2001399"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2003.810293"}],"event":{"name":"CSAI '18: 2018 2nd International Conference on Computer Science and Artificial Intelligence","sponsor":["Shenzhen University Shenzhen University"],"location":"Shenzhen China","acronym":"CSAI '18"},"container-title":["Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297156.3297180","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3297156.3297180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:09Z","timestamp":1750210749000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297156.3297180"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,8]]},"references-count":13,"alternative-id":["10.1145\/3297156.3297180","10.1145\/3297156"],"URL":"https:\/\/doi.org\/10.1145\/3297156.3297180","relation":{},"subject":[],"published":{"date-parts":[[2018,12,8]]},"assertion":[{"value":"2018-12-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}