{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T08:27:19Z","timestamp":1730276839680,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/isspit47144.2019.9001770","type":"proceedings-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T08:15:15Z","timestamp":1582272915000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Deep Physics Neural Network Model for Unsupervised Autoencoder to Perform Data Conditioning"],"prefix":"10.1109","author":[{"given":"Srinath","family":"Madasu","sequence":"first","affiliation":[]},{"given":"Keshava P.","family":"Rangarajan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep Spatio-Temporal Representation for Detection of Road Accident using Stacked Autoencoder","author":"dinesh","year":"2018","journal-title":"IEEE Transactions on Intelligent Transport Systems"},{"key":"ref11","article-title":"Outlier Detection for Time Series with Recurrent Autoencoder Ensembles","author":"tung","year":"0","journal-title":"Internation Joint Conference on Artificial Intelligence 2019 (IJCAI 19)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT.2018.8642658"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00220-014-2117-7"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2812","DOI":"10.3923\/jas.2007.2812.2817","article-title":"Feedforward neural network for solving partial differential equations","volume":"7","author":"hayati","year":"2007","journal-title":"J App Sci"},{"journal-title":"Anomoly detection using autoencoders in high performance computing systems","year":"2018","author":"borghesi","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2761542"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45062-4_39"},{"key":"ref5","article-title":"Intepretable anomoly detection for monitoring of high performance computing systems","author":"baseman","year":"2016","journal-title":"Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD"},{"key":"ref8","first-page":"163","article-title":"Training echo state neural network using harmony search algorithm","volume":"15","author":"saadat","year":"2017","journal-title":"Int J A I"},{"journal-title":"Simple Denoising Algorithm Using Wavelet Transform","year":"2000","author":"roy","key":"ref7"},{"key":"ref2","article-title":"Using geometry and iterated refinement for inverse problems (1): total variation based image restoration","author":"osher","year":"2004","journal-title":"Department of Mathematics UCLA Los Angeles California USA"},{"journal-title":"Mathematical Approaches to Digital Color Image Denoising","year":"2009","author":"deng","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.11591\/ijece.v5i5.pp1018-1026"}],"event":{"name":"2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","start":{"date-parts":[[2019,12,10]]},"location":"Ajman, United Arab Emirates","end":{"date-parts":[[2019,12,12]]}},"container-title":["2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8979200\/9001729\/09001770.pdf?arnumber=9001770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:19:41Z","timestamp":1658261981000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9001770\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/isspit47144.2019.9001770","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}