{"id":1187,"date":"2016-01-01T00:00:00","date_gmt":"2016-01-01T00:00:00","guid":{"rendered":"http:\/\/localhost\/meteo\/publications\/taylor-m-retalis-a-and-flocas-h-particulate-matter-estimation-from-photochemistry-a-modelling-approach-using-neural-networks-and-synoptic-clustering-aerosol-and-air-quality-research-vol-16-p-20\/"},"modified":"2016-01-01T00:00:00","modified_gmt":"2016-01-01T00:00:00","slug":"taylor-m-retalis-a-and-flocas-h-particulate-matter-estimation-from-photochemistry-a-modelling-approach-using-neural-networks-and-synoptic-clustering-aerosol-and-air-quality-research-vol-16-p-20","status":"publish","type":"publications","link":"https:\/\/www.iersd.noa.gr\/en\/publications\/taylor-m-retalis-a-and-flocas-h-particulate-matter-estimation-from-photochemistry-a-modelling-approach-using-neural-networks-and-synoptic-clustering-aerosol-and-air-quality-research-vol-16-p-20\/","title":{"rendered":"Taylor M., Retalis A. and Flocas H.: Particulate matter estimation from photochemistry: a modelling approach using neural networks and synoptic clustering, Aerosol and Air Quality Research Vol 16 p.2067\u20132084 Doi: 10.4209\/aaqr.2015.07.0481, 2016"},"content":{"rendered":"","protected":false},"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1187","publications","type-publications","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/publications\/1187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/publications"}],"about":[{"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/types\/publications"}],"version-history":[{"count":0,"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/publications\/1187\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/media?parent=1187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}