{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T04:42:11Z","timestamp":1776660131919,"version":"3.51.2"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T00:00:00Z","timestamp":1605139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T00:00:00Z","timestamp":1605139200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T00:00:00Z","timestamp":1605139200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,12]]},"DOI":"10.1109\/kse50997.2020.9287514","type":"proceedings-article","created":{"date-parts":[[2020,12,17]],"date-time":"2020-12-17T04:51:41Z","timestamp":1608180701000},"page":"275-280","source":"Crossref","is-referenced-by-count":20,"title":["Normal and Abnormal Heart Rates Recognition Using Transfer Learning"],"prefix":"10.1109","author":[{"given":"Tarik","family":"Alafif","sequence":"first","affiliation":[]},{"given":"Mehrez","family":"Boulares","sequence":"additional","affiliation":[]},{"given":"Ahmed","family":"Barnawi","sequence":"additional","affiliation":[]},{"given":"Talal","family":"Alafif","sequence":"additional","affiliation":[]},{"given":"Hassan","family":"Althobaiti","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Alferaidi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and! 0.5 mb model size","author":"iandola","year":"2016"},{"key":"ref11","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/72.554195"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.11.003"},{"key":"ref15","article-title":"Pretrained Deep Neural Networks","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref17","first-page":"621","article-title":"Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds","author":"potes","year":"2016","journal-title":"2016 Computing in Cardiology Conference (CinC)"},{"key":"ref18","article-title":"Recognizing abnormal heart sounds using deep learning","author":"rubin","year":"2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref4","article-title":"Multichannel multi-model feature learning for face recognition","author":"aslan","year":"2016","journal-title":"Pattern Recognition Letters"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISPAN-FCST-ISCC.2017.16"},{"key":"ref6","first-page":"372","article-title":"SI and s2 heart sound recognition using deep neural networks","volume":"64","author":"chen","year":"2016","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"ref5","article-title":"The PASCAL Classifying Heart Sounds Challenge 2011 (CHSC2011) Results","author":"bentley","year":"2011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.00-82"},{"key":"ref1","article-title":"Device activation based on voice recognition using mel frequency cepstral coefficients (mice&#x2019;s) algorithm","author":"al marzuqi","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96139-2_12"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.11231","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref24","first-page":"593","article-title":"Classification of normal\/abnormal heart sound recordings based on multi-domain features and back propagation neural network","author":"tang","year":"2016","journal-title":"2016 Computing in Cardiology Conference (CinC)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref25","first-page":"6848","article-title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices","author":"zhang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"}],"event":{"name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","location":"Can Tho, Vietnam","start":{"date-parts":[[2020,11,12]]},"end":{"date-parts":[[2020,11,14]]}},"container-title":["2020 12th International Conference on Knowledge and Systems Engineering (KSE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9287309\/9287313\/09287514.pdf?arnumber=9287514","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:12:25Z","timestamp":1670285545000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9287514\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,12]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/kse50997.2020.9287514","relation":{},"subject":[],"published":{"date-parts":[[2020,11,12]]}}}