{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T15:57:56Z","timestamp":1771603076838,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1109\/icufn.2017.7993855","type":"proceedings-article","created":{"date-parts":[[2017,7,27]],"date-time":"2017-07-27T16:39:33Z","timestamp":1501173573000},"page":"576-581","source":"Crossref","is-referenced-by-count":17,"title":["PM10 density forecast model using long short term memory"],"prefix":"10.1109","author":[{"given":"Jung-Hwan","family":"Park","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seong-Joon","family":"Yoo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyung-Joong","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yeong-Hyeon","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keon-Hoon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"U-Hyon","family":"Son","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Weather-dependence of fine particulate matter air quality over kenya","author":"mutai","year":"2013","journal-title":"The 11th Kenya Meteorological Society International conference"},{"key":"ref11","first-page":"595","article-title":"Relationship between airborne particulate matter and weather conditions in targoviste urban area during cold months","volume":"60","author":"dunea","year":"2015","journal-title":"Roumanian Journal of Chemistry"},{"key":"ref12","first-page":"220","article-title":"The impact of atmospheric pollutants on the prevalence of atopic eczema in 6-7-year-old schoolchildren in Spain","volume":"12","author":"suarez-varela","year":"2013","journal-title":"ISAAC Phase III Iran J Allergy Asthma Immunol"},{"key":"ref13","year":"2005","journal-title":"Air Quality Guidelines for Particulate Matter Ozone Nitrogen Dioxide and Sulfur Dioxide"},{"key":"ref14","year":"0","journal-title":"Unitied States Environmental Protection Agency NAAQS Table"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2495\/AIR06009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3155\/1047-3289.57.4.480"},{"key":"ref17","first-page":"47","article-title":"Mixture of linear regression models for short term PM10 forecasting in Haute Normandie (France)","volume":"6","author":"misity","year":"2013","journal-title":"Case Studies in Business Industry and Government Statistics"},{"key":"ref18","article-title":"Short Term Prediction of PM10 Concentrations Using Seasonal Time Series Analysis","volume":"47","author":"hamid","year":"0","journal-title":"MATEC Web of Conferences"},{"key":"ref19","article-title":"Using support vector regression to predict PM10 and PM2. 5","volume":"17","author":"weizhen","year":"0","journal-title":"IOP Conference Series Earth and Environmental Science"},{"key":"ref4","first-page":"1402","article-title":"Time series forecasting using neural networks","author":"oancea","year":"2014","journal-title":"Proceedings 2013 International Conference on"},{"key":"ref27","year":"0"},{"key":"ref3","first-page":"j","article-title":"Using Ensembles of Artificial Neural Networks to Improve PM10 Forecasts","volume":"43","author":"souza","year":"0","journal-title":"Chemical Engineering Transactions"},{"key":"ref6","first-page":"807","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines","author":"nair","year":"2010","journal-title":"International Conference on Machine Learning"},{"key":"ref5","year":"0"},{"key":"ref8","first-page":"2121","article-title":"Adaptive Subgradient Methods for Online Learning and Stochastic Optimization","volume":"12","author":"duchi","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref7","year":"0"},{"key":"ref2","year":"0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-7-1247-2014"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref20","first-page":"61","article-title":"Machine learning algorithms for predicting roadside fine particulate matter concentration level in Hong Kong Central","volume":"3","author":"zhao","year":"2013","journal-title":"Computational Ecology and Software"},{"key":"ref22","first-page":"89","article-title":"Long Short Term Memory Networks for Anomaly Detection in Time Series","author":"malhotra","year":"2015","journal-title":"Euro Symp Artif Neural Netw"},{"key":"ref21","first-page":"669","article-title":"Applying LSTM to Time Series Predictable Through TimeWindow Approaches","author":"gers","year":"2001","journal-title":"Proc Int Conf Artificial Neural Networks ICANN"},{"key":"ref24","article-title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","author":"chung","year":"2014","journal-title":"Neural Information Processing Systems"},{"key":"ref23","article-title":"Learning to diagnose with lstm recurrent neural networks","author":"lipton","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref26","year":"0"},{"key":"ref25","year":"0"}],"event":{"name":"2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)","location":"Milan","start":{"date-parts":[[2017,7,4]]},"end":{"date-parts":[[2017,7,7]]}},"container-title":["2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7985824\/7993726\/07993855.pdf?arnumber=7993855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T16:38:53Z","timestamp":1504197533000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7993855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icufn.2017.7993855","relation":{},"subject":[],"published":{"date-parts":[[2017,7]]}}}