{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T07:07:15Z","timestamp":1726038435858},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811391804"},{"type":"electronic","value":"9789811391811"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-9181-1_48","type":"book-chapter","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T02:03:22Z","timestamp":1563501802000},"page":"547-560","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Comparative Study of Different CNN Models in City Detection Using Landmark Images"],"prefix":"10.1007","author":[{"given":"Masum Shah","family":"Junayed","sequence":"first","affiliation":[]},{"given":"Afsana Ahsan","family":"Jeny","sequence":"additional","affiliation":[]},{"given":"Nafis","family":"Neehal","sequence":"additional","affiliation":[]},{"given":"Syeda Tanjila","family":"Atik","sequence":"additional","affiliation":[]},{"given":"Syed Akhter","family":"Hossain","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,20]]},"reference":[{"key":"48_CR1","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Keras"},{"key":"48_CR2","unstructured":"https:\/\/arxiv.org\/pdf\/1512.00567.pdf"},{"key":"48_CR3","unstructured":"https:\/\/www.kaggle.com\/keras\/resnet50\/home"},{"key":"48_CR4","unstructured":"https:\/\/arxiv.org\/abs\/1603.04467"},{"key":"48_CR5","unstructured":"Xia, X., Xu, C.: Inception-v3 for flower classification. In: 2017 2nd International Conference on Image, Vision and Computing (2017)"},{"key":"48_CR6","unstructured":"http:\/\/wiki.ubc.ca\/Course:CPSC522\/Convolutional_Neural_Networks#cite_note-wiki-3"},{"key":"48_CR7","unstructured":"https:\/\/arxiv.org\/abs\/1704.04861"},{"key":"48_CR8","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Confusion_matrix"},{"key":"48_CR9","unstructured":"https:\/\/www.pyimagesearch.com\/2017\/03\/20\/imagenet-vggnet-resnet-inception-xception-keras\/"},{"key":"48_CR10","unstructured":"Mata, M., Armingol, J.M., de la Escalera, A., Salichs, M.A.: A visual landmark recognition system for topological navigation of mobile robots. In: Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No. 01CH37164, 21\u201326 May 2001"},{"key":"48_CR11","unstructured":"Li, Y., Crandall, D.J., Huttenlocher, D.P.: Landmark classification in large-scale image collections. In: 2009 IEEE 12th International Conference on Computer Vision, 29 September 2009\u20132 October 2009"},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Zheng, Y.-T., Zhao, M., Song, Y., Adam, H.: Tour the world: building a web-scale landmark recognition engine. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, 20\u201325 June 2009","DOI":"10.1109\/CVPR.2009.5206749"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Elizalde, B., Chao, G.-L., Zeng, M., Lane, I.: City-identification of flickr videos using semantic acoustic features. \n                    arXiv: 1607.03257v1\n                    \n                   [cs.MM], 12 July 2016","DOI":"10.1109\/BigMM.2016.28"},{"key":"48_CR14","doi-asserted-by":"crossref","unstructured":"Gavai, N.R., Jakhade, Y.A., Tribhuvan, S.A., Bhattad, R.: MobileNets for flower classification using tensorflow. In: 2017 International Conference on Big Data, IoT and Data Science (BID), 20\u201322 December 2017. Vishwakarma Institute of Technology, Pune (2017)","DOI":"10.1109\/BID.2017.8336590"},{"key":"48_CR15","doi-asserted-by":"crossref","unstructured":"Kim, W., Choi, H.-K., Jang, B.-T., Lim, J.: Driver distraction detection using single convolutional neural network. In: 2017 International Conference on Information and Communication Technology Convergence (ICTC), 18\u201320 October 2017","DOI":"10.1109\/ICTC.2017.8190898"},{"key":"48_CR16","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Flowchart"},{"key":"48_CR17","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Precision_and_recall"},{"key":"48_CR18","unstructured":"He, K., Zhang, X., Ren, S., Sun, J: Deep residual learning for image recognition. \n                    arXiv: 1512.03385v1\n                    \n                   [cs.CV], 10 December 2015"},{"key":"48_CR19","unstructured":"https:\/\/github.com\/keras-team\/keras\/issues\/3755"},{"key":"48_CR20","unstructured":"https:\/\/datascience.stackexchange.com\/questions\/15989\/micro-average-vs-macro-average-performance-in-a-multiclass-classification"},{"key":"48_CR21","unstructured":"Li, X., Wu, C., Zach, C., Lazebnik, S., Frahm, J.-M.: Using iconic scene graphs for modeling and recognition of landmark images collections, 16 April 2011"}],"container-title":["Communications in Computer and Information Science","Recent Trends in Image Processing and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-9181-1_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T02:16:51Z","timestamp":1563502611000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-9181-1_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811391804","9789811391811"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-9181-1_48","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"20 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RTIP2R","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Recent Trends in Image Processing and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Solapur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rtip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/rtip2r.org\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"374","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"173","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"46% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"-","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}