{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T07:25:00Z","timestamp":1744097100452,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/la-cci.2017.8285727","type":"proceedings-article","created":{"date-parts":[[2018,2,8]],"date-time":"2018-02-08T21:47:30Z","timestamp":1518126450000},"page":"1-6","source":"Crossref","is-referenced-by-count":6,"title":["An investigation on the use of convolutional neural network for image classification in embedded systems"],"prefix":"10.1109","author":[{"given":"Cecilia F.","family":"Silva","sequence":"first","affiliation":[]},{"given":"Clauirton A.","family":"Siebra","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2383614"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/HPTCDL.2014.12"},{"journal-title":"Caffe Convolutional Architecture for Fast Feature Embedding","year":"2014","author":"jia","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.18"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2017.7975270"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/978-3-319-48680-2_19","article-title":"Fast Traffic Sign Recognition Using Color Segmentation and Deep Convolutional Networks","volume":"10016","author":"nardi","year":"2016","journal-title":"Advanced Concepts for Intelligent Vision Systems Lecture Notes in Computer Science"},{"key":"ref16","first-page":"2809","article-title":"Traffic Sign Recognition with Multi-Scale Convolutional Networks","author":"lecun","year":"0","journal-title":"Neural Networks (IJCNN) The 2011 International Joint Conference on"},{"key":"ref17","first-page":"1","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2016.7571862"},{"key":"ref19","article-title":"SURF: Speeded Up Robust Features","author":"tuytelaars","year":"2004","journal-title":"International Journal of Computer Vision"},{"key":"ref4","article-title":"Multi-column deep neural network for traffic sign classification","author":"masci","year":"2012","journal-title":"Neural Networks Journal"},{"journal-title":"Keras","year":"2015","author":"chollet","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2545298"},{"journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems","year":"2015","author":"barham","key":"ref6"},{"key":"ref5","article-title":"Traffic Sign Recognition with Multi-Scale Convolutional Networks","author":"salmen","year":"2011","journal-title":"International Joint Conference on Neural Networks"},{"key":"ref8","article-title":"Deep Neural Networks for traffic flow prediction","author":"yi","year":"2017","journal-title":"IEEE International Conference on Big Data and Smart Computing (BigComp)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SYSOSE.2017.7994953"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2684746.2689060"},{"key":"ref9","first-page":"3","article-title":"Theano: A CPU and GPU Math Compiler in Python","author":"bastien","year":"2010","journal-title":"Proceedings of the 9th Python in Science Conference"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537908"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref22","article-title":"Using Convolutional Neural Networks for Image Recognition","author":"rowen","year":"2016","journal-title":"Cadence"},{"key":"ref21","first-page":"165","article-title":"Color-blob-based COSFIRE filters for object recognition","volume":"57","author":"petkov","year":"2007","journal-title":"Image and Vision Computing"},{"key":"ref24","article-title":"A Method for Stochastic Optimization","author":"diederik","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-006-0663-2"},{"key":"ref25","article-title":"Dropout: A Simple Way to Prevent Neural Networks from Overfitting","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","start":{"date-parts":[[2017,11,8]]},"location":"Arequipa","end":{"date-parts":[[2017,11,10]]}},"container-title":["2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8275062\/8285668\/08285727.pdf?arnumber=8285727","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T17:05:41Z","timestamp":1570727141000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8285727\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/la-cci.2017.8285727","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}