{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:07Z","timestamp":1750219807450,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Portugal 2020","award":["CENTRO-01-0247-FEDER-047116"],"award-info":[{"award-number":["CENTRO-01-0247-FEDER-047116"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3627345.3627368","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T23:14:02Z","timestamp":1701731642000},"page":"53-58","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Smartool - a digital platform for Condition-Based Maintenance in Industry 4.0 environments"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6846-6543","authenticated-orcid":false,"given":"Matheus Costa","family":"Martins","sequence":"first","affiliation":[{"name":"ESTG, Polytechnic University of Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9348-0474","authenticated-orcid":false,"given":"Rui Pedro Charters Lopes","family":"Rijo","sequence":"additional","affiliation":[{"name":"INESCC - DL, ESTG, Polytechnic University of Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9727-905X","authenticated-orcid":false,"given":"Carlos Fernando Almeida","family":"Grilo","sequence":"additional","affiliation":[{"name":"CIIC, ESTG, Polytechnic University of Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0648-6067","authenticated-orcid":false,"given":"Lino Miguel Moreira","family":"Ferreira","sequence":"additional","affiliation":[{"name":"IT, ESTG, Polytechnic University of Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3960-8543","authenticated-orcid":false,"given":"S\u00e9rgio Manuel","family":"Silva","sequence":"additional","affiliation":[{"name":"ESTG, Polytechnic University of Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1157-7510","authenticated-orcid":false,"given":"Ricardo Filipe Gon\u00e7alves","family":"Martinho","sequence":"additional","affiliation":[{"name":"INESCC - DL, ESTG, Polytechnic University of Leiria, Portugal"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"M. A. Barlow. 2015. Predictive maintenance: A world of zero unplanned downtime O'Reilly."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"H. Lasi P. Fettke H. G. Kemper T. Feld and M. Hoffmann. 2014. Industry 4.0.\u00a0Business & information systems engineering \u00a06 239-242.","DOI":"10.1007\/s12599-014-0334-4"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"M. S. Azari F. Flammini S. Santini and M. Caporuscio. 2023. A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0.\u00a0IEEE Access.","DOI":"10.1109\/ACCESS.2023.3239784"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.08.318"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2377-6"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.012"},{"key":"e_1_3_2_1_7_1","volume-title":"Solitons & Fractals","volume":"135","author":"Chimmula V. K. R.","unstructured":"V. K. R. Chimmula and L. Zhang. 2020. Time series forecasting of COVID-19 transmission in Canada using LSTM networks. Chaos, Solitons & Fractals, vol. 135."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"J. Cao Z. Li and J. Li. 2019. Financial time series forecasting model based on CEEMDAN and LSTM. Physica A: Statistical Mechanics and its Applications vol. 519 pp. 127-139.","DOI":"10.1016\/j.physa.2018.11.061"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001700170173"},{"key":"e_1_3_2_1_10_1","unstructured":"P. R. Surve. 2008. Diesel Particulate Filter Diagnostics Using Correlation and Spectral Analysis."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.1995.0005"},{"key":"e_1_3_2_1_12_1","first-page":"161","volume-title":"Proceedings of the IEEE Aerospace Conference (Cat. No.99TH8403)","volume":"3","author":"Skormin V. A.","unstructured":"V. A. Skormin, L. J. Popyack, V. I. Gorodetski, M. L. Araiza and J. D. Michel. 1999. Applications of cluster analysis in diagnostics-related problems. In Proceedings of the IEEE Aerospace Conference (Cat. No.99TH8403), vol. 3, pp. 161-168."},{"key":"e_1_3_2_1_13_1","first-page":"89","volume-title":"IFAC Proceedings Volumes","volume":"25","author":"Yoon Y. H.","unstructured":"Y. H. Yoon, E. S. Yoon and K. S. Chang. 1992. Process Fault Diagnostics using the Integrated Graph Model. In IFAC Proceedings Volumes, vol. 25, n\u00ba 4, pp. 89-94."},{"key":"e_1_3_2_1_14_1","volume-title":"Ocean Engineering","volume":"193","author":"Tan Y.","unstructured":"Y. Tan, C. Niu, H. Tian, L. Hou and J. Zhang. 2019. A one-class SVM based approach for condition-based maintenance of a naval propulsion plant with limited labeled data. Ocean Engineering, vol. 193."},{"key":"e_1_3_2_1_15_1","first-page":"147","volume-title":"IFAC Proceedings Volumes","volume":"40","author":"Lerace S.","unstructured":"S. Lerace, R. Pinto and S. Cavalieri. 2007. Application of neural networks to condition based maintenance: A case study in the textile industry. In IFAC Proceedings Volumes, vol. 40, pp. 147-152."},{"volume-title":"Proceedings of the IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","author":"Siddique A.","key":"e_1_3_2_1_16_1","unstructured":"A. Siddique, G. S. Yadava and B. Singh. 2003. Applications of artificial intelligence techniques for induction machine stator fault diagnostics: review. In Proceedings of the IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, New York."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/imaman\/15.2.89"},{"key":"e_1_3_2_1_18_1","volume-title":"Analysis patterns: Reusable object models","author":"Fowler M.","year":"1997","unstructured":"M. Fowler, Analysis patterns: Reusable object models, Addison-Wesley Professional, 1997."},{"key":"e_1_3_2_1_19_1","volume-title":"Design Patterns: Elements of Reusable Object-Oriented Software, Pearson Education.","author":"Gamma E.","year":"1995","unstructured":"E. Gamma, R. Helm, R. Johnson and J. Vlissides. 1995. Design Patterns: Elements of Reusable Object-Oriented Software, Pearson Education."},{"key":"e_1_3_2_1_20_1","unstructured":"J. H. Chenong. 2019. Four ways to quantify synchrony between time series data. Towards Data Science."},{"key":"e_1_3_2_1_21_1","volume-title":"Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization","author":"Molin S.","year":"2021","unstructured":"S. Molin and K. Jee. 2021. Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization, Packt Publishing Ltd."},{"key":"e_1_3_2_1_22_1","volume-title":"Homewood, IL: Richard D. Irwin.\u00a0Inc. Search in.","author":"Neter J.","year":"1989","unstructured":"J. Neter, W. Wasserman, and M. H. Kutner. 1989. Applied Linear Regression Models. Homewood, IL: Richard D. Irwin.\u00a0Inc. Search in."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"S. Hochreiter and J. Schmidhuber. 1997. Long short-term memory.\u00a0Neural computation \u00a09(8) 1735-1780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"S. Sharma and S. Srinivasan. 2022. A Survey on Software Design Based and Project Based Metrics.\u00a0International Journal of Computer Theory and Engineering vol.\u00a014 n\u00ba 2 pp. 54-61.","DOI":"10.7763\/IJCTE.2022.V14.1310"}],"event":{"name":"CCIOT 2023: 2023 8th International Conference on Cloud Computing and Internet of Things","acronym":"CCIOT 2023","location":"Okinawa Japan"},"container-title":["Proceedings of the 2023 8th International Conference on Cloud Computing and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627345.3627368","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627345.3627368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:45:41Z","timestamp":1750178741000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627345.3627368"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":24,"alternative-id":["10.1145\/3627345.3627368","10.1145\/3627345"],"URL":"https:\/\/doi.org\/10.1145\/3627345.3627368","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}