{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T03:49:13Z","timestamp":1762660153964,"version":"3.41.2"},"reference-count":26,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:p> Image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information in images. Contextual here means this approach is focusing on the relationship of the nearby pixels also called neighborhood. An open topic of research in computer vision is to devise an effective means of transferring human\u2019s informal knowledge into computers, such that computers can also perceive their environment. However, the occurrence of object with respect to image representation is usually associated with various features of variation causing noise in the image representation. Hence, it tends to be very difficult to actually disentangle these abstract factors of influence from the principal object. In this paper, we have proposed a hybrid model: FUSIONET, which has been modeled for studying and extracting meaning facts from images. Our proposition combines two distinct stack of convolution operation (3\u00a0\u00d7\u00a03 and 1\u00a0\u00d7\u00a01, respectively). Successively, these relatively low-feature maps from the above operation are fed as input to a downstream classifier for classification of the image in question. <\/jats:p>","DOI":"10.1142\/s1469026821500218","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T03:53:20Z","timestamp":1635911600000},"source":"Crossref","is-referenced-by-count":4,"title":["FUSIONET: A Hybrid Model Towards Image Classification"],"prefix":"10.1142","volume":"20","author":[{"given":"Molokwu C.","family":"Reginald","sequence":"first","affiliation":[{"name":"Department of Computer Science, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra state, Nigeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Molokwu C.","family":"Bonaventure","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Windsor, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Molokwu C.","family":"Victor","sequence":"additional","affiliation":[{"name":"School of Energy, Geoscience, Infrastructure, and Society, Hariot-Watt University, Edinburgh EH14 4AS, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Okeke C.","family":"Ogochukwu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra state, Nigeria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,11,3]]},"reference":[{"key":"S1469026821500218BIB001","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36802-9_61"},{"key":"S1469026821500218BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"S1469026821500218BIB003","first-page":"1097","volume-title":"Advances in Neural Information Processing Systems","author":"Krizhevsky A.","year":"2012"},{"key":"S1469026821500218BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"S1469026821500218BIB005","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"S1469026821500218BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"S1469026821500218BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.04.019"},{"key":"S1469026821500218BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04117-w"},{"issue":"6","key":"S1469026821500218BIB009","first-page":"647","volume":"25","author":"Rawat W.","year":"2019","journal-title":"J. UCS"},{"key":"S1469026821500218BIB010","first-page":"1","author":"Nguyen L. D.","year":"2019","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"S1469026821500218BIB011","doi-asserted-by":"publisher","DOI":"10.30880\/ijie.2019.11.04.006"},{"key":"S1469026821500218BIB012","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxaa029"},{"key":"S1469026821500218BIB013","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-019-2808-3"},{"key":"S1469026821500218BIB017","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2953934"},{"key":"S1469026821500218BIB018","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071229"},{"key":"S1469026821500218BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"S1469026821500218BIB023","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-9175-7.ch006"},{"key":"S1469026821500218BIB025","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"S1469026821500218BIB029","first-page":"215","volume-title":"Proc. Fourteenth Int. Conf. Artificial Intelligence and Statistics","author":"Coates A.","year":"2011"},{"key":"S1469026821500218BIB030","volume":"1","author":"Karpathy A.","year":"2016","journal-title":"Neural Netw."},{"key":"S1469026821500218BIB031","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2017.09.110"},{"key":"S1469026821500218BIB033","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"volume-title":"Deep Learning","year":"2016","author":"Goodfellow I.","key":"S1469026821500218BIB034"},{"key":"S1469026821500218BIB036","doi-asserted-by":"publisher","DOI":"10.1561\/2000000039"},{"key":"S1469026821500218BIB037","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(00)00142-5"},{"key":"S1469026821500218BIB038","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"}],"container-title":["International Journal of Computational Intelligence and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1469026821500218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T03:17:20Z","timestamp":1665371840000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S1469026821500218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,3]]},"references-count":26,"journal-issue":{"issue":"04","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["10.1142\/S1469026821500218"],"URL":"https:\/\/doi.org\/10.1142\/s1469026821500218","relation":{},"ISSN":["1469-0268","1757-5885"],"issn-type":[{"type":"print","value":"1469-0268"},{"type":"electronic","value":"1757-5885"}],"subject":[],"published":{"date-parts":[[2021,11,3]]},"article-number":"2150021"}}