{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T22:08:18Z","timestamp":1783462098420,"version":"3.55.0"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 109-2224-E-009-003"],"award-info":[{"award-number":["MOST 109-2224-E-009-003"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Intell. Mag."],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/mci.2020.3019873","type":"journal-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T19:32:45Z","timestamp":1602790365000},"page":"10-22","source":"Crossref","is-referenced-by-count":33,"title":["Computational Intelligence Techniques for Combating COVID-19: A Survey"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4853-1594","authenticated-orcid":false,"given":"Vincent S.","family":"Tseng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josh Jia-Ching","family":"Ying","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen T.C.","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diane J.","family":"Cook","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.29333\/ejgm\/8232"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.109883"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.35940\/ijitee.F4642.049620"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref30","first-page":"4510","article-title":"MobileNet V2: Inverted residuals and linear bottlenecks","author":"sandler","year":"0","journal-title":"Proc 2018 IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106517"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17103407"},{"key":"ref35","first-page":"114","article-title":"Forecasting of COVID-19 Confirmed cases in Vietnam using fuzzy time series model combined with particle swarm optimization","volume":"6","author":"van tinh","year":"2020","journal-title":"Computational Research Progress in Applied Science & Engineering"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2991\/aebmr.k.200502.199"},{"key":"ref60","year":"0"},{"key":"ref62","year":"0","journal-title":"Canada’s COVID-19 Chatbot"},{"key":"ref61","article-title":"Coronavirus: Belgium hospital employs robot to protect against COVID-19","author":"parrock","year":"0","journal-title":"Euronews"},{"key":"ref63","article-title":"Satellites and AI monitor Chinese economy’s reaction to coronavirus","author":"perry","year":"0"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.156"},{"key":"ref64","year":"0"},{"key":"ref27","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"0","journal-title":"Proc 2018 European Conf Computer Vision (ECCV)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1051\/matecconf\/20164908001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2196\/publichealth.8950"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1183\/13993003.00775-2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00264-020-04609-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.2196\/18828"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1097\/RTI.0000000000000512"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200075"},{"key":"ref26","first-page":"3","article-title":"Unet++: A nested u-net architecture for medical image segmentation","author":"zhou","year":"0","journal-title":"Proc Workshop Deep Learning Medical Image Analysis and Multimodal Learning Clinical Decision Support"},{"key":"ref25","first-page":"234","article-title":"U-net: Convolutional networks or biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc 2015 Int Conf Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref50","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"0","journal-title":"Proc 31st Conf Neural Information Processing Systems (NIPS 2017)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref59","year":"0"},{"key":"ref58","year":"0","journal-title":"Using artificial intelligence to help combat COVID-19"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.109829"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(20)30144-4"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.138834"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref53","first-page":"4278","article-title":"Inception-V4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"0","journal-title":"Proc 31st AAAI Conf Artificial Intelligence"},{"key":"ref52","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5217-8"},{"key":"ref11","author":"de jong","year":"2006","journal-title":"Evolutionary Computation A Unified Approach"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.109945"},{"key":"ref12","first-page":"4","author":"palit","year":"2006","journal-title":"Computational Intelligence in Time Series Forecasting Theory and Engineering Applications"},{"key":"ref13","author":"gaillard","year":"0","journal-title":"Normal chest CT - Lung window"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994459"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-76550-z","article-title":"COVID-Net: A tailored deep convolutional neural network design for detection of COVID-19 cases from chest radiography images","author":"wang","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2996256"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.109944"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2993291"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-020-00529-4"},{"key":"ref4","year":"0","journal-title":"COVID-19 Open Research Dataset Challenge (CORD-19)"},{"key":"ref3","first-page":"559","article-title":"Analysis of transmission route of MERS coronavirus using decision tree and Apriori algorithm","author":"kim","year":"0","journal-title":"Proc 18th Int Conf Advanced Communication Technology (ICACT)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/9781118534823"},{"key":"ref5","first-page":"1","article-title":"What is computational intelligence?","author":"bezdek","year":"1994","journal-title":"Computational Intelligence Imitating Life"},{"key":"ref8","first-page":"1","article-title":"Neural networks","volume":"4","author":"stergiou","year":"0","journal-title":"Imperial Coll London Surprise J"},{"key":"ref7","first-page":"737","article-title":"Intelligence: Computational versus Artificial","volume":"4","author":"marks","year":"1993","journal-title":"IEEE Trans Neural Netw"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00865-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/1094428107309326"},{"key":"ref46","article-title":"Coronavirus (COVID-19) classification using CT images by machine learning methods","author":"barstugan","year":"2020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3000314"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0931-3"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0232391"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10096-020-03901-z"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110118"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001344"},{"key":"ref43","author":"price","year":"2006","journal-title":"Differential Evolution A Practical Approach to Global Optimization"}],"container-title":["IEEE Computational Intelligence Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10207\/9225197\/09225219.pdf?arnumber=9225219","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:01:05Z","timestamp":1651078865000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9225219\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":64,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/mci.2020.3019873","relation":{},"ISSN":["1556-603X","1556-6048"],"issn-type":[{"value":"1556-603X","type":"print"},{"value":"1556-6048","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}