{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:06:59Z","timestamp":1782518819896,"version":"3.54.5"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["2016-0-00563"],"award-info":[{"award-number":["2016-0-00563"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["NRF-2015R1A2A1A15056262"],"award-info":[{"award-number":["NRF-2015R1A2A1A15056262"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2872025","type":"journal-article","created":{"date-parts":[[2018,9,24]],"date-time":"2018-09-24T21:29:35Z","timestamp":1537824575000},"page":"54207-54214","source":"Crossref","is-referenced-by-count":38,"title":["Autoencoder-Combined Generative Adversarial Networks for Synthetic Image Data Generation and Detection of Jellyfish Swarm"],"prefix":"10.1109","volume":"6","author":[{"given":"Kyukwang","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5799-2026","authenticated-orcid":false,"given":"Hyun","family":"Myung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","year":"2017","journal-title":"GAN Implementation"},{"key":"ref11","author":"jia","year":"2014","journal-title":"Caffe Convolutional Architecture for Fast Feature Embedding"},{"key":"ref12","year":"2017","journal-title":"Caffe MNIST Autoencoder"},{"key":"ref13","author":"mao","year":"2016","journal-title":"Least squares generative adversarial networks"},{"key":"ref14","author":"larsen","year":"2015","journal-title":"Autoencoding beyond pixels using a learned similarity metric"},{"key":"ref15","author":"makhzani","year":"2015","journal-title":"Adversarial autoencoders"},{"key":"ref16","year":"2017","journal-title":"Used Jellyfish Image Dataset"},{"key":"ref17","author":"shelhamer","year":"2017","journal-title":"Fully Convolutional Networks for Semantic Segmentation"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2651944"},{"key":"ref19","year":"2013","journal-title":"Fishery Damage due to Massive Jellyfish Occurrence"},{"key":"ref28","article-title":"Autoencoder-combined generative adversarial networks for synthetic image data generation and application for the oceanic environments","author":"kim","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.13000\/JFMSE.2015.27.6.1755"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s16060942"},{"key":"ref3","year":"2012","journal-title":"Hazardous Marine Life Jellyfish Damage Prevention Research Projects"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2517823"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-014-0349-0"},{"key":"ref8","author":"goodfellow","year":"2014","journal-title":"Generative adversarial networks"},{"key":"ref7","author":"simonyan","year":"2015","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011883905394"},{"key":"ref9","author":"metz","year":"2016","journal-title":"Unrolled generative adversarial networks"},{"key":"ref1","first-page":"316","author":"arai","year":"1997","journal-title":"A Functional Biology of Scyphozoa"},{"key":"ref20","author":"radford","year":"2015","journal-title":"Unsupervised Representation learning with deep convolutional generative adversarial networks CoRR"},{"key":"ref22","year":"2017","journal-title":"DCGAN Implementation"},{"key":"ref21","author":"berthelot","year":"2017","journal-title":"BEGAN Boundary Equilibrium Generative Adversarial Networks"},{"key":"ref24","year":"2017","journal-title":"BEGAN Implementation"},{"key":"ref23","year":"2017","journal-title":"BEGAN Implementation"},{"key":"ref26","author":"arjovsky","year":"2017","journal-title":"Wasserstein GAN"},{"key":"ref25","author":"zhao","year":"2017","journal-title":"Energy-based Generative Adversarial Network"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08471171.pdf?arnumber=8471171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T20:35:22Z","timestamp":1643229322000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8471171\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2872025","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}