{"id":4470,"date":"2021-12-06T11:24:33","date_gmt":"2021-12-06T11:24:33","guid":{"rendered":"http:\/\/www.iersd.noa.gr\/?post_type=publications&p=4470"},"modified":"2021-12-06T11:24:33","modified_gmt":"2021-12-06T11:24:33","slug":"gholami-h-mohammadifar-a-golzari-s-kaskaoutis-d-g-telfer-m-w-collins-a-l-using-the-boruta-algorithm-and-deep-learning-models-for-mapping-land-susceptibility-to-atmospheric-dust-emissions","status":"publish","type":"publications","link":"https:\/\/www.iersd.noa.gr\/en\/publications\/gholami-h-mohammadifar-a-golzari-s-kaskaoutis-d-g-telfer-m-w-collins-a-l-using-the-boruta-algorithm-and-deep-learning-models-for-mapping-land-susceptibility-to-atmospheric-dust-emissions\/","title":{"rendered":"Gholami H.,  Mohammadifar A., Golzari S., Kaskaoutis D.G., Telfer M.W., Collins A.L., Using the Boruta algorithm and deep learning models for mapping land susceptibility to atmospheric dust emissions in Iran, Aeolian Research, 50, 100682, 2021. DOI: 10.1016\/j.aeolia.2021.100682"},"content":{"rendered":"","protected":false},"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-4470","publications","type-publications","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/publications\/4470","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\/4470\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.iersd.noa.gr\/en\/wp-json\/wp\/v2\/media?parent=4470"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}