{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T16:27:24Z","timestamp":1747153644429,"version":"3.40.5"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819603473"},{"type":"electronic","value":"9789819603480"}],"license":[{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0348-0_1","type":"book-chapter","created":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T18:37:59Z","timestamp":1732387079000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DELA: Dual Embedding Using LSTM and\u00a0Attention for\u00a0Asset Tag Inference in\u00a0Industrial Automation Systems"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6780-6576","authenticated-orcid":false,"given":"Zhen","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0108-7133","authenticated-orcid":false,"given":"Brian Kenneth","family":"Erickson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8881-4903","authenticated-orcid":false,"given":"Shantanu","family":"Chakraborty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3003-1313","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"1_CR1","first-page":"17","volume":"11","author":"S Nazir","year":"2021","unstructured":"Nazir, S., Patel, S., Patel, D.: Autoencoder based anomaly detection for SCADA networks. Int. J. Artif. Intell. Mach. Learn. 11, 17 (2021)","journal-title":"Int. J. Artif. Intell. Mach. Learn."},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Teoh, Y., Gill, S., Parlikad, A.: IOT and Fog computing based predictive maintenance model for effective asset management in Industry 4.0 using machine learning. IEEE Internet Things J. 10, 2087\u20132094 (2021)","DOI":"10.1109\/JIOT.2021.3050441"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Li, C., Ma, T., Zhou, Y., Cheng, J., Xu, B.: Measuring word semantic similarity based on transferred vectors. In: International Conference on Neural Information Processing, pp. 326\u2013335 (2017)","DOI":"10.1007\/978-3-319-70093-9_34"},{"issue":"6","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1016\/j.jbi.2012.06.003","volume":"45","author":"H Xu","year":"2012","unstructured":"Xu, H., Wu, Y., Elhadad, N., Stetson, P., Friedman, C.: A new clustering method for detecting rare senses of abbreviations in clinical notes. J. Biomed. Inform. 45(6), 1075\u20131083 (2012)","journal-title":"J. Biomed. Inform."},{"issue":"1","key":"1_CR5","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1186\/s12859-019-3079-8","volume":"20","author":"C Zhang","year":"2019","unstructured":"Zhang, C., Bi\u015b, D., Liu, X., He, Z.: Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. BMC Bioinf. 20(1), 502 (2019)","journal-title":"BMC Bioinf."},{"key":"1_CR6","first-page":"1","volume":"2022","author":"C Zhang","year":"2022","unstructured":"Zhang, C., Pang, S., Gao, X., Liu, J., Yu, B.: Attention neural network for biomedical word sense disambiguation. Discret. Dyn. Nat. Soc. 2022, 1\u201314 (2022)","journal-title":"Discret. Dyn. Nat. Soc."},{"key":"1_CR7","unstructured":"ISO 14224:2016, ISO - International Organization for Standardization. https:\/\/www.iso.org\/standard\/64076.html. Accessed 25 Oct 2023"},{"key":"1_CR8","unstructured":"ISO 14617-1:2005, ISO - International Organization for Standardization. https:\/\/www.iso.org\/standard\/41838.html. Accessed 25 Oct 2023"},{"key":"1_CR9","unstructured":"IEC 61850:2022 SER Series, IEC - International Electrotechnical Commission. https:\/\/webstore.iec.ch\/publication\/6028. Accessed 25 Oct 2023"},{"issue":"4","key":"1_CR10","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","volume":"45","author":"M Sokolova","year":"2009","unstructured":"Sokolova, M., Lapalme, G.: A systematic analysis of performance measures for classification tasks. Info. Process. Manag. 45(4), 427\u2013437 (2009)","journal-title":"Info. Process. Manag."},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Bohnet, B., McDonald, R., Sim\u00f5es, G., Andor, D., Pitler, E., Maynez, J.: Morphosyntactic tagging with a meta-BiLSTM model over context sensitive token encodings. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2642\u20132652 (2018)","DOI":"10.18653\/v1\/P18-1246"},{"key":"1_CR12","unstructured":"Vaswani, A., et\u00a0al.: Attention is all you need. Adv. Neural Info. Process. Syst. 30 (2017)"},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"51522","DOI":"10.1109\/ACCESS.2019.2909919","volume":"7","author":"G Xu","year":"2019","unstructured":"Xu, G., Meng, Y., Qiu, X., Yu, Z., Wu, X.: Sentiment analysis of comment texts based on BiLSTM. IEEE Access 7, 51522\u201351532 (2019)","journal-title":"IEEE Access"},{"issue":"6","key":"1_CR14","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1049\/el.2018.7980","volume":"55","author":"A Rusiecki","year":"2019","unstructured":"Rusiecki, A.: Trimmed categorical cross-entropy for deep learning with label noise. Electron. Lett. 55(6), 319\u2013320 (2019)","journal-title":"Electron. Lett."},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Patel, R., Domeniconi, C.: Estimator vectors: OOV word embeddings based on subword and context clue estimates. In: 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138 (2020)","DOI":"10.1109\/IJCNN48605.2020.9207711"},{"key":"1_CR16","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: 3rd International Conference for Learning Representations (2015)"},{"issue":"11","key":"1_CR17","doi-asserted-by":"publisher","first-page":"2673","DOI":"10.1109\/78.650093","volume":"45","author":"M Schuster","year":"1997","unstructured":"Schuster, M., Paliwal, K.K.: Bidirectional recurrent neural networks. IEEE Trans. Sig. Process. 45(11), 2673\u20132681 (1997)","journal-title":"IEEE Trans. Sig. Process."},{"key":"1_CR18","unstructured":"Yadav, G., Paul, K.: Architecture and security of SCADA systems: a review. In: Proceedings of the Khosla School of Information Technology, IIT Delhi, India, pp. 1\u201310 (2024)"},{"key":"1_CR19","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186, Minneapolis, Minnesota. Association for Computational Linguistics (2019)"},{"key":"1_CR20","unstructured":"Chollet, F.: Keras. In: Deep Learning with Python, pp. 301\u2013304. Manning Publications Co. (2017)"}],"container-title":["Lecture Notes in Computer Science","AI 2024: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0348-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T19:02:47Z","timestamp":1732388567000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0348-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,18]]},"ISBN":["9789819603473","9789819603480"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0348-0_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,18]]},"assertion":[{"value":"18 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ajcai2024.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}