{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T02:38:36Z","timestamp":1783564716017,"version":"3.55.0"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892025","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":18,"title":["Human Action Recognition Using Hybrid Deep Evolving Neural Networks"],"prefix":"10.1109","author":[{"given":"Pavan","family":"Dasari","sequence":"first","affiliation":[{"name":"Royal Holloway, University of London,Department of Computer Science,Surrey,UK,TW20 0EX"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[{"name":"Royal Holloway, University of London,Department of Computer Science,Surrey,UK,TW20 0EX"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonghong","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoqian","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Energy and Electrical Engineering, Hohai University,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University of Technology,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.06.015"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2880416"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09396-3_9"},{"key":"ref32","article-title":"Action mach: A spatio-temporal maximum average correlation height filter for action recognition","author":"ahmed","year":"2008","journal-title":"Computer Vision and Pattern Recognition"},{"key":"ref31","article-title":"Recognizing 50 human action categories of web videos","author":"reddy","year":"2012","journal-title":"Machine vision and applications journal MVAP-D-12-00032"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2549639"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.asoc.2015.05.006","article-title":"Intelligent facial emotion recognition using a layered encoding cascade optimization model","volume":"34","author":"neoh","year":"2015","journal-title":"Applied Soft Computing"},{"key":"ref35","article-title":"Ucf10l: A dataset of 101 human action classes from videos in the wild","author":"zamir","year":"2012","journal-title":"CRCV-TR-12-01"},{"key":"ref34","article-title":"Recognizing realistic actions from videos &#x201C;in the wild","author":"luo","year":"0","journal-title":"IEEE International Conference on Computer Vision and Pattern Recognition(CVPR)"},{"key":"ref28","author":"shi","year":"2015","journal-title":"Convolutional LSTM network A machine learning approach for precipitation nowcasting"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12333"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019325"},{"key":"ref2","author":"sevilla-lara","year":"2019","journal-title":"Only time can tell Discovering temporal data for temporal modeling"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref22","author":"xiao","year":"2020","journal-title":"Audiovisual slowfast networks for video recognition"},{"key":"ref21","author":"feichtenhofer","year":"2019","journal-title":"Slowfast networks for video recognition"},{"key":"ref24","author":"tran","year":"2015","journal-title":"Learning spatiotemporal features with 3d convolutional networks"},{"key":"ref23","author":"yue-hei ng","year":"2015","journal-title":"Beyond short snippets Deep networks for video classification"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106328"},{"key":"ref51","article-title":"An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images","volume":"5","author":"neoh","year":"2015","journal-title":"Scientific Reports"},{"key":"ref53","author":"tan","year":"2018","journal-title":"C P Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization Knowledge-Based Systems"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.03.024"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3007826"},{"key":"ref11","author":"simonyan","year":"2015","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3052489"},{"key":"ref12","author":"he","year":"2015","journal-title":"Deep residual learning for image recognition"},{"key":"ref13","author":"he","year":"2016","journal-title":"Identity mappings in deep residual networks"},{"key":"ref14","author":"howard","year":"2017","journal-title":"Mobilenets Efficient convolutional neural networks for mobile vision applications"},{"key":"ref15","author":"huang","year":"2018","journal-title":"Densely Connected Convolutional Networks"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICICT.2017.8320156"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0846-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76390-1_45"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2817253"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106918"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126386"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.115"},{"key":"ref8","author":"gowda","year":"2020","journal-title":"SMART Frame Selection for Action Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2010.71"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.09.013"},{"key":"ref9","author":"zhu","year":"2019","journal-title":"Faster recurrent networks for efficient video classification"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9111880"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.014"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903015"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105725"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s21237936"},{"key":"ref41","first-page":"108322","article-title":"Sound classification using evolving ensemble models and particle swarm optimization","author":"zhang","year":"2021","journal-title":"Applied Soft Computing"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3021527"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-06947-6"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892025.pdf?arnumber=9892025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:59:36Z","timestamp":1667516376000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892025\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892025","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}