Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms Bhatti, Asim 2021, Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms, in FDSE 2021 : Preceedings of the 8th Future Data and Security Engineering International Conference, Springer, Cham, Switzerland, pp. 68-80, doi: 10.1007/978-3-030-91387-8. Attached Files Name Description MIMEType Size Downloads Title Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms Author(s) Bhatti, Asim orcid.org/0000-0001-6876-1437 Conference name Future data and security engineering. Conference (8th : 2021 : Virtual Event) Conference location Virtual Event Conference dates 2021/11/24 - 2021/11/26 Title of proceedings FDSE 2021 : Preceedings of the 8th Future Data and Security Engineering International Conference Editor(s) Dang, TK Kung, J Chung, TM Takizawa, M Publication date 2021 Series Lecture Notes in Computer Science Start page 68 End page 80 Total pages 13 Publisher Springer Place of publication Cham, Switzerland Notes Virtual Event from Ho Chi Minh City, Vietnam ISBN 9783030913861 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-91387-8 Field of Research 080104 Computer Vision 080109 Pattern Recognition and Data Mining 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30159674 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 29 Nov 2021, 14:34:51 EST Mon, 29 Nov 2021, 15:07:07 EST Sat, 25 Dec 2021, 01:44:40 EST Fri, 07 Jan 2022, 05:04:43 EST Thu, 28 Apr 2022, 13:55:52 EST Thu, 28 Apr 2022, 14:53:06 EST Thu, 28 Apr 2022, 14:58:29 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 29 Nov 2021, 14:34:51 EST