{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:50:28Z","timestamp":1701478228531},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>Ancient glass objects are valuable physical evidence of the existence of the Silk Road. Due to the long preservation time, the glass is highly susceptible to weathering and resulting in chemical composition changes, which in turn affects the identification of this artifact. Based on the relevant data of a given batch of ancient glass, a model for analyzing and identifying the composition of ancient glass products was established and sensitivity analysis was conducted Spearman\u2019s rank correlation coefficient, chi-square analysis and stepwise regression.<\/jats:p>","DOI":"10.3233\/faia230921","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:58:45Z","timestamp":1701446325000},"source":"Crossref","is-referenced-by-count":0,"title":["Composition Analysis and Identification Model of Ancient Glass Products"],"prefix":"10.3233","author":[{"given":"Pingchuan","family":"Yi","sequence":"first","affiliation":[{"name":"Xiangtan University, School of Materials Science and Engineering, 411100"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230921","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:58:48Z","timestamp":1701446328000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230921"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230921","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}