{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T01:22:13Z","timestamp":1768094533101,"version":"3.49.0"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Lenovo"},{"name":"R&#x0026;D investment"},{"name":"LSBD\/UFC"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.1109\/tc.2020.2987018","type":"journal-article","created":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T20:33:45Z","timestamp":1587069225000},"page":"188-198","source":"Crossref","is-referenced-by-count":11,"title":["Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models"],"prefix":"10.1109","volume":"70","author":[{"given":"Fernando D. S.","family":"Lima","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francisco Lucas F.","family":"Pereira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iago C.","family":"Chaves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8430-9421","authenticated-orcid":false,"given":"Javam C.","family":"Machado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1686-595X","authenticated-orcid":false,"given":"Joao Paulo P.","family":"Gomes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Disk failures in the real world: What does an MTTF of 1,000,000 hours mean to you?","volume-title":"Proc. 5th USENIX Conf. File Storage Technol.","author":"Schroeder"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2012.07.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/bracis.2017.72"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2014.44"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2619180"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2016.2538237"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/SPECTS.2017.8046776"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2013.2241204"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2013.2264060"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/BRACIS.2016.083"},{"key":"ref11","first-page":"1","article-title":"Remaining useful life estimation of hard disk drives based on deep neural networks","volume-title":"Proc. IEEE Int. Joint Conf. Neural Netw.","author":"dos Santos Lima"},{"key":"ref12","first-page":"1279","article-title":"A neural network approach to ordinal regression","volume-title":"Proc. IEEE Int. Joint Conf. Neural Netw.","author":"Cheng"},{"key":"ref13","article-title":"A simple squared-error reformulation for ordinal classification","author":"Beckham","year":"2016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog1402_1"},{"key":"ref15","first-page":"214","article-title":"Serial order: A parallel, distributed processing approach","volume-title":"Proc. Advances Connectionist Theory: Speech","author":"Jordan"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref17","article-title":"Understanding LStTM networks","author":"Olah","year":"2015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/PL00022717"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1037\/h0026256"},{"key":"ref22","volume-title":"A guide to NumPy","volume":"1","author":"Oliphant","year":"2006"},{"key":"ref23","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"Abadi","year":"2016"},{"key":"ref24","article-title":"Pandas: a python data analysis library","author":"McKinney","year":"2017"},{"key":"ref25","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref26","article-title":"GPyOpt: A bayesian optimization framework in python","author":"authors","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939699"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/9321720\/09069184.pdf?arnumber=9069184","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T01:39:44Z","timestamp":1706060384000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9069184\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":27,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tc.2020.2987018","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,1]]}}}