{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:06Z","timestamp":1740169326662,"version":"3.37.3"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1109\/access.2022.3222810","type":"journal-article","created":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T20:33:54Z","timestamp":1668717234000},"page":"121032-121047","source":"Crossref","is-referenced-by-count":0,"title":["Fusion of Novelty Detectors Using Deep and Local Invariant Visual Features for Inspection Task"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2295-752X","authenticated-orcid":false,"given":"Emre","family":"Ozbilge","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Faculty of Engineering, Cyprus International University, Nicosia, North Cyprus, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2998-8134","authenticated-orcid":false,"given":"Ebru","family":"Ozbilge","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, American University of the Middle East, Egaila, Kuwait"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-019-6413-7"},{"journal-title":"Machine learning yearning Technical strategy for ai engineers in the era of deep learning","year":"2019","author":"ng","key":"ref38"},{"journal-title":"Evolving Connectionist Systems The Knowledge Engineering Approach","year":"2007","author":"kasabov","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN.2011.6034893"},{"journal-title":"OpenCV Library","year":"2022","key":"ref37"},{"key":"ref36","first-page":"241","article-title":"On-line visual novelty detection in autonomous mobile robots","volume":"2","author":"neto","year":"2011","journal-title":"Introduction Mod Robot"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.11.321"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3477.969494"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.nlm.2008.05.014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2022.876814"},{"key":"ref11","first-page":"1","article-title":"Detecting novel features of an environment using habituation","author":"marsland","year":"2000","journal-title":"Proc Simulation Adapt Behav"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2015.02.006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2007.05.012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-007-9146-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1048133"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s19132965"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2016.03.009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2019.04.003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JRA.1986.1087032"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5772\/5770"},{"journal-title":"Notes on the OpenSURF Library","year":"2009","author":"evans","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2004.10.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.12.026"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.188"},{"key":"ref5","first-page":"157","article-title":"Novelty detection in learning systems","volume":"3","author":"marsland","year":"2003","journal-title":"Neural Comput Surv"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/cp:19950597"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(02)00078-3"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2006.1931"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"journal-title":"Keras Applications","year":"2022","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"journal-title":"From Wide-Baseline Point and Line Correspondences to 3D","year":"2009","author":"bay","key":"ref26"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","article-title":"Speeded-up robust features (SURF)","volume":"110","author":"bay","year":"2008","journal-title":"Comput Vis Image Understand"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09953994.pdf?arnumber=9953994","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:51:14Z","timestamp":1670874674000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9953994\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3222810","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}