{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T19:53:35Z","timestamp":1782417215139,"version":"3.54.5"},"reference-count":0,"publisher":"Stef92 Technology","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,6,20]]},"DOI":"10.5593\/sgem2018\/2.1\/s07.053","type":"proceedings-article","created":{"date-parts":[[2018,10,13]],"date-time":"2018-10-13T11:40:46Z","timestamp":1539430846000},"source":"Crossref","is-referenced-by-count":1,"title":["FTIR ANALYSIS AND ARTIFICIAL NEURAL NETWORK IN PREDICTION OF RENAL STONES COMPOSITION"],"prefix":"10.5593","volume":"18","author":[{"given":"Sofia","family":"POPESCU","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3602","event":{"name":"18th International Multidisciplinary Scientific GeoConference SGEM2018","acronym":"SGEM2018"},"container-title":["SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings","18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing"],"original-title":[],"deposited":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T19:22:26Z","timestamp":1782415346000},"score":1,"resource":{"primary":{"URL":"https:\/\/epslibrary.at\/items\/af8c82bf-6b8a-40d0-966d-d36cd7201f0c\/ftir-analysis-and-artificial-neural-network-in-prediction-of-renal-stones-composition"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,20]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5593\/sgem2018\/2.1\/s07.053","relation":{},"ISSN":["1314-2704"],"issn-type":[{"value":"1314-2704","type":"print"}],"subject":[],"published":{"date-parts":[[2018,6,20]]}}}