乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T10:35:51Z","timestamp":1721817351768},"reference-count":198,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3108447","type":"journal-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T20:04:50Z","timestamp":1630094690000},"page":"121996-122015","source":"Crossref","is-referenced-by-count":11,"title":["Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5638-8556","authenticated-orcid":false,"given":"Beibei","family":"Shi","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2641-3578","authenticated-orcid":false,"given":"Hua","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Yefei","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6938-9948","authenticated-orcid":false,"given":"Ali Asghar","family":"Heidari","sequence":"additional","affiliation":[]},{"given":"Long","family":"Zheng","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7714-9693","authenticated-orcid":false,"given":"Huiling","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1312-9554","authenticated-orcid":false,"given":"Liangxing","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6113-0779","authenticated-orcid":false,"given":"Peiliang","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.2174\/1386207323666200825092649"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3073368"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.008"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3063-x"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3079204"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2355221"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.064"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01083-y"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01042-7"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3023821"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3064258"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.05.003"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.07.044"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2013.801096"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/9512741"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106684"},{"key":"ref30","first-page":"298","article-title":"Alzheimer’s disease diagnosis based on moth flame optimization","author":"sayed","year":"2016","journal-title":"Proc Int Conf Genet Evol Comput"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.07.031"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2913176"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01028-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112976"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.3016660"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.101974"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2020.103003"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.042"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.11.039"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2871167"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2021.3075615"},{"key":"ref188","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3447681","article-title":"A scalable redefined stochastic blockmodel","volume":"15","author":"liu","year":"2021","journal-title":"ACM Transactions on Knowledge Discovery from Data"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2882915"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2927878"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105946"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1194-2"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25215"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2018.05.096"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-020-05862-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21037\/jtd.2020.02.64"},{"key":"ref21","article-title":"Lung infection quantification of COVID-19 in CT images with deep learning","author":"shan","year":"2020","journal-title":"arXiv 2003 04655"},{"key":"ref24","article-title":"Rapid AI development cycle for the coronavirus (COVID-19) pandemic: Initial results for automated detection & patient monitoring using deep learning CT image analysis","author":"gozes","year":"2020","journal-title":"arXiv 2003 05037"},{"key":"ref23","article-title":"Predicting COVID-19 distribution in Mexico through a discrete and time-dependent Markov chain and an SIR-like model","author":"vivanco-lira","year":"2020","journal-title":"arXiv 2003 06758"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.03.055"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.002"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106510"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.C1000313"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1111\/all.14238"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2002032"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1016\/j.phrs.2017.06.005"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1007\/s00392-020-01626-9"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.21617"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1111\/all.14309"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2257.2003.00492.x"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1007\/s00380-019-01435-9"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1016\/j.medmal.2020.03.007"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24569-8"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.28811"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105521"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2018.11.017"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.10.022"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-019-2771-z"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0186427"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2018.06.018"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2018.06.017"},{"key":"ref52","first-page":"8355","article-title":"Backbone guided extremal optimization for the hard maximum satisfiability problem","volume":"8","author":"zeng","year":"2012","journal-title":"Int J Innov Comput Inf Control"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.03.043"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09203-y"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102249"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2020.011554"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2021.3057333"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2991336"},{"key":"ref162","article-title":"Robust $\\text{H}\\infty$\n control for uncertain delayed T-S fuzzy systems with stochastic packet dropouts","volume":"385","author":"cai","year":"2020","journal-title":"Appl Math Comput"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2020.12.002"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2021.03.042"},{"key":"ref4","article-title":"Negative emotion arousal and altruism promoting of online public stigmatization on COVID-19 pandemic","volume":"12","author":"chen","year":"2021","journal-title":"Frontier in Psychology"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s40779-020-00240-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.paid.2021.110972"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1063\/5.0048123"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30251-8"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3052940"},{"key":"ref7","article-title":"Predicting mortality risk in patients with COVID-19 using artificial intelligence to help medical decision-making","author":"pourhomayoun","year":"2020","journal-title":"medRxiv"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114122"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1124\/molpharm.120.000014"},{"key":"ref9","year":"2020","journal-title":"Coronavirus Disease (COVID-2019) Situation Reports"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2952824"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01099-4"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01083-y"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01174-w"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01252-z"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.10.038"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01234-1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-019-00871-5"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01042-7"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2039872"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2918026"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.07.024"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.08.011"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2981968"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114689"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982796"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/9316713"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.107078"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104427"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.002"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.04.060"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105946"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.051"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.01.046"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2018.04.008"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3025796"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2020.111267"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2983233"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2948414"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3009209"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.01.002"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.015"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.1142\/S021812662150016X"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.05.018"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071603"},{"key":"ref95","first-page":"1942","article-title":"Particle swarm optimization","author":"kennedy","year":"2002","journal-title":"Proc Int Conf Neural Netw (ICNN)"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942169"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-20215-y"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2931910"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.02.032"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2019.2957952"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.01.046"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.3934\/dcdss.2019058"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.arabjc.2017.12.024"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.soildyn.2015.04.004"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2005.03.009"},{"key":"ref96","doi-asserted-by":"crossref","first-page":"299","DOI":"10.3390\/sym12020299","article-title":"An approach for streaming data feature extraction based on discrete cosine transform and particle swarm optimization","volume":"12","author":"aydo?du","year":"2020","journal-title":"Symmetry"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2014.04.039"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106642"},{"key":"ref84","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1080\/00401706.1996.10484565","article-title":"The nature of statistical learning theory","volume":"38","author":"stephan","year":"1996","journal-title":"Technometrics"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.03.066"},{"key":"ref80","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1016\/j.egyr.2021.01.093","article-title":"Parameters identification of PV model using improved slime mould optimizer and Lambert W-function","volume":"7","author":"el-fergany","year":"2021","journal-title":"Energy Rep"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.07.049"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1870-7"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2019.01.013"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-019-8292-2"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.sjbs.2017.11.022"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-1019-8"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.07.006"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000229"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1145\/3418215"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3052210"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3005947"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.601109"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3045320"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1080\/19368623.2021.1926037"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.21528\/CBIC2017-68"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.3201\/eid2111.151231"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2017.7969307"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477655"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-139-9-200311040-00005"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1136\/thoraxjnl-2016-209313"},{"key":"ref138","first-page":"8e","article-title":"Retracted: Clinical and epidemiological characteristics of 34 children with 2019 novel coronavirus infection in Shenzhen","volume":"58","author":"wang","year":"2020","journal-title":"Zhonghua er ke za zhi=Chin J Pediatrics"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.1585"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1002\/jmv.25689"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1097\/CM9.0000000000000744"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.3892\/etm.2019.7492"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2018.00313"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.3892\/etm.2014.1503"},{"key":"ref2","first-page":"1","article-title":"Epidemiological data from the COVID-19 outbreak, real-time case information","volume":"7","author":"xu","year":"2020","journal-title":"Data Science Journal"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.3892\/etm.2013.1310"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1056\/NEJMoa2001316","article-title":"Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia","volume":"382","author":"li","year":"2020","journal-title":"New England J Med"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0150269"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.023"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115079"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-011-0769-1"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2011.07.001"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1142\/S0217984919500751"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2695498"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114864"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.02.028"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.05.062"},{"key":"ref112","first-page":"157","article-title":"An optimization method of workflow dynamic scheduling based on heuristic GA","volume":"34","author":"xiao","year":"2007","journal-title":"Comput Sci"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.04.018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30211-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/jmv.25688"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9020575"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(01)00077-X"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMp1606181"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2015.18421"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.125315"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2196\/18828"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1617\/1\/012033"},{"key":"ref18","article-title":"Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner","author":"wang","year":"2020","journal-title":"arXiv 2002 05534"},{"key":"ref19","article-title":"Artificial intelligence forecasting of COVID-19 in China","author":"hu","year":"2020","journal-title":"arXiv 2002 07112"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1002\/asjc.2415"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2020.165277"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.3390\/w12102692"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3047936"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.04.011"},{"key":"ref120","first-page":"1","article-title":"Sign language\/gesture recognition based on cumulative distribution density features using UWB radar","volume":"70","author":"li","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2019.2903430"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2020.08.006"},{"key":"ref123","article-title":"New study on fixed-time synchronization control of delayed inertial memristive neural networks","volume":"399","author":"dong","year":"2021","journal-title":"Appl Math Comput"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09524619.pdf?arnumber=9524619","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:41Z","timestamp":1639771061000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9524619\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":198,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3108447","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}