{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T08:55:58Z","timestamp":1775811358086,"version":"3.50.1"},"reference-count":11,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T00:00:00Z","timestamp":1771372800000},"content-version":"vor","delay-in-days":48,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004955","name":"FFG","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004955","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1016\/j.procs.2026.02.079","type":"journal-article","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T07:18:00Z","timestamp":1774250280000},"page":"376-383","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Smart Alerting: A Forecasting and Anomaly Detection System for Data-Driven Decision-Making"],"prefix":"10.1016","volume":"277","author":[{"given":"Sabrina","family":"Luftensteiner","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johann","family":"Schrammel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Diamond","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Degenfellner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.procs.2026.02.079_bib1","doi-asserted-by":"crossref","first-page":"898","DOI":"10.3390\/app14020898","article-title":"Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends","volume":"14","author":"Ucar","year":"2024","journal-title":"Applied Sciences"},{"issue":"16","key":"10.1016\/j.procs.2026.02.079_bib2","first-page":"8081","article-title":"Sasan Sattarpanah Karganroudi, Rizck Dhouib, Hussein Ibrahim, and Mehdi Adda","volume":"12","author":"Achouch","year":"2022","journal-title":"On predictive maintenance in industry 4.0: Overview, models, and challenges. Applied Sciences"},{"key":"10.1016\/j.procs.2026.02.079_bib3","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.jmsy.2021.03.005","article-title":"Big data analytics for intelligent manufacturing systems: A review","volume":"62","author":"Wang","year":"2022","journal-title":"Journal of Manufacturing Systems"},{"key":"10.1016\/j.procs.2026.02.079_bib4","doi-asserted-by":"crossref","unstructured":"Carlos Flavi\u00e1n and Luis V Casal\u00f3. Artificial intelligence in services: current trends, benefits and challenges, 2021.","DOI":"10.1080\/02642069.2021.1989177"},{"issue":"1","key":"10.1016\/j.procs.2026.02.079_bib5","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/s10796-021-10221-w","article-title":"The current status and developing trends of industry 4.0: A review","volume":"27","author":"Lu","year":"2025","journal-title":"Information Systems Frontiers"},{"issue":"4","key":"10.1016\/j.procs.2026.02.079_bib6","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1007\/s43681-021-00132-6","article-title":"Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis","volume":"2","author":"Keleko","year":"2022","journal-title":"AI and Ethics"},{"issue":"22","key":"10.1016\/j.procs.2026.02.079_bib7","doi-asserted-by":"crossref","first-page":"12374","DOI":"10.3390\/app132212374","article-title":"Time series prediction in industry 4.0: a comprehensive review and prospects for future advancements","volume":"13","author":"Kashpruk","year":"2023","journal-title":"Applied Sciences"},{"key":"10.1016\/j.procs.2026.02.079_bib8","unstructured":"Min Qi. Forecasting real time financial series. In Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN\u201902 (Cat. No. 02CH37290), volume 1, pages 377\u2013381. IEEE, 2002."},{"key":"10.1016\/j.procs.2026.02.079_bib9","first-page":"234","article-title":"Syed Rooh Ullah Jan, Sahil Verma, Varun G Menon, fnm Kavita, and Xingwang Li","volume":"26","author":"Li","year":"2021","journal-title":"A comprehensive survey on machine learning-based big data analytics for iot-enabled smart healthcare system. Mobile networks and applications"},{"issue":"1","key":"10.1016\/j.procs.2026.02.079_bib10","doi-asserted-by":"crossref","first-page":"2","DOI":"10.3390\/mca27010002","article-title":"Predictive maintenance in the automotive sector: A literature review","volume":"27","author":"Arena","year":"2021","journal-title":"Mathematical and Computational Applications"},{"key":"10.1016\/j.procs.2026.02.079_bib11","doi-asserted-by":"crossref","first-page":"108341","DOI":"10.1016\/j.ress.2022.108341","article-title":"Alarm-based predictive maintenance scheduling for aircraft engines with imperfect remaining useful life prognostics","volume":"221","author":"de Pater","year":"2022","journal-title":"Reliability Engineering & System Safety"}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S187705092600195X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S187705092600195X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T08:00:14Z","timestamp":1775808014000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S187705092600195X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":11,"alternative-id":["S187705092600195X"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2026.02.079","relation":{},"ISSN":["1877-0509"],"issn-type":[{"value":"1877-0509","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Smart Alerting: A Forecasting and Anomaly Detection System for Data-Driven Decision-Making","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2026.02.079","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}