{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T02:06:40Z","timestamp":1769566000040,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686448","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T00:00:00Z","timestamp":1769472000000},"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":[[2026,1,27]]},"abstract":"<jats:p>This research tackles key limitations in traditional meeting scheduling systems \u2014 including weak natural language understanding, inefficient multi-attendee coordination, and imprecise resource matching \u2014 by proposing an intelligent scheduling system based on AI agents. Leveraging large language models like DeepSeek-V3 to interpret unstructured time descriptions, the system establishes a multi-workflow collaboration mechanism that enables end-to-end automation from requirement input to meeting confirmation. Experimental results confirm the system\u2019s superior performance over conventional methods in critical areas including time parsing accuracy, coordination efficiency, and meeting room utilization.<\/jats:p>","DOI":"10.3233\/faia251689","type":"book-chapter","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T13:19:52Z","timestamp":1769519992000},"source":"Crossref","is-referenced-by-count":0,"title":["An AI Agent and Low-Code Platform Based Framework for Automated Meeting Scheduling"],"prefix":"10.3233","author":[{"given":"Can","family":"Lin","sequence":"first","affiliation":[{"name":"School of Computer Information Engineering, Hanshan Normal University, Chaozhou, China"}]},{"given":"Zhongxing","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer Information Engineering, Hanshan Normal University, Chaozhou, China"}]},{"given":"Wei","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Information Engineering, Hanshan Normal University, Chaozhou, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining XI"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251689","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T13:19:52Z","timestamp":1769519992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251689"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,27]]},"ISBN":["9781643686448"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251689","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,27]]}}}