{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T01:22:02Z","timestamp":1777512122460,"version":"3.51.4"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030586683","type":"print"},{"value":"9783030586690","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,9,20]],"date-time":"2020-09-20T00:00:00Z","timestamp":1600560000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,20]],"date-time":"2020-09-20T00:00:00Z","timestamp":1600560000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-58669-0_8","type":"book-chapter","created":{"date-parts":[[2020,9,19]],"date-time":"2020-09-19T07:03:35Z","timestamp":1600499015000},"page":"90-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research Method of Blind Path Recognition Based on DCGAN"],"prefix":"10.1007","author":[{"given":"Ling","family":"Luo","sequence":"first","affiliation":[]},{"given":"Ping-Jun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Peng-Jun","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Liu","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Kuo-Chi","family":"Chang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,20]]},"reference":[{"key":"8_CR1","unstructured":"Li, S.: Research on the guidance system based on ultrasonic sensor array. Chongqing University of Technology (2013)"},{"key":"8_CR2","unstructured":"Yin, L.: Research on 3D reconstruction method of computer vision based on OpenCV. Anhui University (2011)"},{"key":"8_CR3","unstructured":"Lu, P., Dong, H.: Face image generation based on deep convolution antagonism generation network. Mod. Comput. (21), 56\u201358, 64 (2019)"},{"issue":"08","key":"8_CR4","first-page":"37","volume":"38","author":"Q Zeng","year":"2019","unstructured":"Zeng, Q., Xiang, D., Li, N., Xiao, H.: Image recognition method based on semi supervised depth generation countermeasure network. Meas. Control Technol. 38(08), 37\u201342 (2019)","journal-title":"Meas. Control Technol."},{"key":"8_CR5","unstructured":"Ian, G., Jean, P.-A., Mehdi, M., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)."},{"issue":"04","key":"8_CR6","first-page":"591","volume":"48","author":"C Ye","year":"2020","unstructured":"Ye, C., Guan, W.: Application of generative adversary network. J. Tongji Univ. (Nat. Sci. Ed.) 48(04), 591\u2013601 (2020)","journal-title":"J. Tongji Univ. (Nat. Sci. Ed.)"},{"key":"8_CR7","first-page":"24","volume":"07","author":"Q Guo","year":"2020","unstructured":"Guo, Q.: Generation of countermeasure samples based on generation countermeasure network. Mod. Comput. 07, 24\u201328 (2020)","journal-title":"Mod. Comput."},{"issue":"05","key":"8_CR8","first-page":"54","volume":"37","author":"J Ke","year":"2018","unstructured":"Ke, J., Xu, Z.: Research on speech enhancement algorithm based on generation countermeasure network. Inf. Technol. Netw. Secur. 37(05), 54\u201357 (2018)","journal-title":"Inf. Technol. Netw. Secur."},{"key":"8_CR9","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 (2015)"},{"key":"8_CR10","first-page":"5","volume":"24","author":"Y Ke","year":"2018","unstructured":"Ke, Y., Wang, X., Zheng, Y.: Deep convolution generation countermeasure network structure. Electron. Technol. Softw. Eng. 24, 5\u20136 (2018)","journal-title":"Electron. Technol. Softw. Eng."},{"issue":"05","key":"8_CR11","first-page":"855","volume":"44","author":"X Tang","year":"2018","unstructured":"Tang, X., Du, Y., Liu, Y., Li, J., Ma, Y.: An image recognition method based on conditional depth convolution generation countermeasure network. Acta Automatica Sinica 44(05), 855\u2013864 (2018)","journal-title":"Acta Automatica Sinica"},{"issue":"04","key":"8_CR12","first-page":"45","volume":"38","author":"J Jia","year":"2019","unstructured":"Jia, J., Li, J.: Pest image recognition algorithm based on semi supervised generation network. J. Wuhan Light Ind. Univ. 38(04), 45\u201352 (2019)","journal-title":"J. Wuhan Light Ind. Univ."},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Ke, J.: Blind path recognition system based on image processing. Shanghai Jiaotong University (2008)","DOI":"10.1109\/CISP.2008.273"},{"key":"8_CR14","unstructured":"Ke, J., Zhao, Q., Shi, P.: Blind path recognition algorithm based on image processing. Comput. Eng. 35(01), 189\u2013191, 197 (2009)"},{"key":"8_CR15","unstructured":"Yang, X., Yang, J., Yu, X.: Blind path recognition algorithm in image processing. Shang (15), 228, 206 (2015)"},{"key":"8_CR16","first-page":"23","volume":"07","author":"M Wang","year":"2017","unstructured":"Wang, M., Li, Y., Zhang, L.: Blind path region segmentation algorithm based on texture features. Inf. Commun. 07, 23\u201326 (2017)","journal-title":"Inf. Commun."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58669-0_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,19]],"date-time":"2022-11-19T06:34:44Z","timestamp":1668839684000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-58669-0_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,20]]},"ISBN":["9783030586683","9783030586690"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58669-0_8","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,20]]},"assertion":[{"value":"20 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AISI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Intelligent Systems and Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Egypt","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aisi2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/egyptscience.net\/AISI2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}