{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:27:09Z","timestamp":1730280429500,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T00:00:00Z","timestamp":1625011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T00:00:00Z","timestamp":1625011200000},"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":[[2021,6,30]]},"DOI":"10.1109\/jcsse53117.2021.9493833","type":"proceedings-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T17:05:56Z","timestamp":1627405556000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Evolving Compact Prediction Model for PM2.5 level of Chiang Mai Using Multiobjective Multigene Symbolic Regression"],"prefix":"10.1109","author":[{"given":"Prakarn","family":"Unachak","sequence":"first","affiliation":[{"name":"Faculty of Science, Chiang Mai University,Department of Computer Science,Chiang Mai,Thailand"}]},{"given":"Prayat","family":"Puangjaktha","sequence":"additional","affiliation":[{"name":"Faculty of Science, Chiang Mai University,Department of Computer Science,Chiang Mai,Thailand"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/113\/1\/012127"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S1352-2310(99)00316-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18178\/IJIEE.2019.9.1.701"},{"key":"ref13","first-page":"86","article-title":"PM10 prediction using Genetic Programming: A Case Study in Salt, Jordan","volume":"11","author":"faris","year":"2014","journal-title":"Life Sci"},{"key":"ref14","first-page":"453","article-title":"Modeling of PM10 emission with genetic programming","volume":"46","author":"kova?i?","year":"2012","journal-title":"Materiali in Tehnologije"},{"key":"ref15","first-page":"270","article-title":"Influence of nitrogen-di-oxide, temperature and relative humidity on surface ozone modeling process using multigene symbolic regression genetic programming","volume":"6","author":"sheta","year":"2015","journal-title":"International Journal of Advanced Computer Science and Applications"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25660-3_16"},{"key":"ref17","volume":"1","author":"koza","year":"1992","journal-title":"Genetic Programming On the Programming of Computers by Means of Natural Selection"},{"key":"ref18","first-page":"30","article-title":"Evolving Toxicity Models using MultigeneSymbolic Regression and Multiple Objectives","volume":"1","author":"dominic","year":"2011","journal-title":"International Journal of Machine Learning and Computing"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jes.2016.02.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.7763\/IJESD.2016.V7.815"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2019.06.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7090368"},{"key":"ref7","article-title":"GPTIPS: an open source genetic programming toolbox for multigene symbolic regression","author":"searson","year":"2010","journal-title":"Proceedings of the International MultiConference of Engineers and Computer Scientists"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2020.117485"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoenv.2016.01.030"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/17\/1\/012268"},{"key":"ref20","first-page":"1","article-title":"Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming","author":"kommenda","year":"2016","journal-title":"Genetic Programming Theory and Practice X"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-011"},{"key":"ref21","first-page":"2171","article-title":"DEAP: Evolutionary Algorithms Made Easy","author":"fortin","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2013.12.008"}],"event":{"name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","start":{"date-parts":[[2021,6,30]]},"location":"Lampang, Thailand","end":{"date-parts":[[2021,7,2]]}},"container-title":["2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9493665\/9493804\/09493833.pdf?arnumber=9493833","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T19:48:06Z","timestamp":1659469686000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9493833\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,30]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/jcsse53117.2021.9493833","relation":{},"subject":[],"published":{"date-parts":[[2021,6,30]]}}}