{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T11:38:41Z","timestamp":1784115521966,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"FPT University","doi-asserted-by":"publisher","award":["DHFPT2023\/11"],"award-info":[{"award-number":["DHFPT2023\/11"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,17]]},"DOI":"10.1145\/3637843.3637852","type":"proceedings-article","created":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T11:41:12Z","timestamp":1709725272000},"page":"54-60","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["LSTM-based welding quality forecasting system in smart manufacturing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8603-4209","authenticated-orcid":false,"given":"Quoc-Trinh","family":"Vo","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, FPT University, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3997-8880","authenticated-orcid":false,"given":"Dat Van","family":"Tran","sequence":"additional","affiliation":[{"name":"Institute for Research &amp; Executive Education (VNUK), The University of Da Nang, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4288-0667","authenticated-orcid":false,"given":"Rin Vy","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, FPT University, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3515-5443","authenticated-orcid":false,"given":"Ngoc Anh","family":"Le","sequence":"additional","affiliation":[{"name":"Innvation Space - Swinburne Vietnam, FPT University, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4595-9886","authenticated-orcid":false,"given":"Cong Doan","family":"Truong","sequence":"additional","affiliation":[{"name":"International School, Vietnam National University, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8362-0795","authenticated-orcid":false,"given":"Tin Trung","family":"Tran","sequence":"additional","affiliation":[{"name":"Department of Information Technology - Swinburne Vietnam, FPT University, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,3,6]]},"reference":[{"issue":"10","key":"e_1_3_2_1_1_1","first-page":"207","article-title":"Real-time prediction of weld quality using LSTM neural networks based on multi-sensor data fusion","volume":"43","author":"Tao Zhang","year":"2019","unstructured":"Tao Zhang, Hongbin Ma, and Jie Sun (2019). \u201cReal-time prediction of weld quality using LSTM neural networks based on multi-sensor data fusion\u201d. Journal of Intelligent Manufacturing, 43(10): 207-217.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/met11091459"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-021-01892-y"},{"key":"e_1_3_2_1_4_1","volume-title":"KES","author":"Zhang Y.","year":"2004","unstructured":"Zhang, Y., Chen, G., & Lin, Z. 2004. Study on weld quality control of resistance spot welding using a neuro-fuzzy algorithm. Paper presented at the Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, Proceedings, Part III 8."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Yulia Svetashova Baifan Zhou Tim Pychynski Stefan Schmidt York Sure-Vetter Ralf Mikut and Evgeny Kharlamov.2020. Ontology-Enhanced machine learning: A Bosch use case of welding quality monitoring. In proceeding of 19th International Semantic Web Conference (ISWC). Athens Greece November 2-6. 531-550. https:\/\/doi.org\/10.1007\/978-3-030-62466-8_33","DOI":"10.1007\/978-3-030-62466-8_33"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/HNICEM54116.2021"},{"key":"e_1_3_2_1_7_1","volume-title":"International Manufacturing Science and Engineering Conference (Vol. 85819","author":"Guo S.","unstructured":"Guo, S., Wang, D., Chen, J., Feng, Z., & Guo, W. G. (2022, June). Learning the Temporal Effect in Infrared Thermal Videos with Long Short-Term Memory for Quality Prediction in Resistance Spot Welding. In International Manufacturing Science and Engineering Conference (Vol. 85819, p. V002T05A035). American Society of Mechanical Engineers. June 26."},{"key":"e_1_3_2_1_8_1","volume-title":"automotive aluminum joining manual","author":"Aluminum","year":"2015","unstructured":"Aluminum automotive manual website: automotive aluminum joining manual 2015, chapter 11. URL: https:\/\/www.european-aluminum.eu\/resource-hub\/aluminum-automotive-manual\/"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/MetroInd4.0IoT48571.2020.9138310"},{"key":"e_1_3_2_1_10_1","volume-title":"Recommended practices for resistance welding","year":"2019","unstructured":"AWC1.1, Recommended practices for resistance welding, American Welding Society, 6th Edition, 2019.","edition":"6"},{"key":"e_1_3_2_1_11_1","volume-title":"AFNOR-French standard institute, 1-12","author":"French","year":"2015","unstructured":"French standard: Resistance welding \u2013 Testing of welds \u2013 Peel and chisel testing of resistance spot and projection welds, AFNOR-French standard institute, 1-12 (2015)."},{"issue":"4","key":"e_1_3_2_1_12_1","first-page":"1","article-title":"Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding","volume":"34","author":"Russell M.","year":"2023","unstructured":"Russell, M., Kershaw, J., Xia, Y., Lv, T., Li, Y., Ghassemi-Armaki, H. & Wang, P. (2023). \u201cComparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding\u201d. Journal of Intelligent Manufacturing 34(4): 1-15.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"event":{"name":"ICRAI 2023: 2023 9th International Conference on Robotics and Artificial Intelligence","location":"Singapore Singapore","acronym":"ICRAI 2023"},"container-title":["Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637843.3637852","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3637843.3637852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T20:15:45Z","timestamp":1755980145000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637843.3637852"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,17]]},"references-count":13,"alternative-id":["10.1145\/3637843.3637852","10.1145\/3637843"],"URL":"https:\/\/doi.org\/10.1145\/3637843.3637852","relation":{},"subject":[],"published":{"date-parts":[[2023,11,17]]},"assertion":[{"value":"2024-03-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}