{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T05:39:18Z","timestamp":1762234758303,"version":"build-2065373602"},"reference-count":16,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T00:00:00Z","timestamp":1761868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"i-CNC sub-project"},{"name":"TrialsNet project","award":["101095871"],"award-info":[{"award-number":["101095871"]}]},{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>Cloud monitoring systems combine physical sensors with cloud computing capabilities. Modern manufacturing techniques and smart factories under Industry 4.0 and Industry 5.0 call for the integration of monitoring systems as part of the broader digitization process. Digitization typically occurs by integrating external sensors onto existing legacy machines. Data obtained can be utilized in digital twins, simulations, machine learning models, and Industrial Internet Of Things (IIoT) applications. The adaptation of these new technologies usually stalls due to the reluctance of end users to make modifications to already existing equipment, the legacy equipment that is in use and does not provide the information needed, and the substantial costs of integrating new measuring systems that typically require additional IT infrastructure. Having identified the need for easily scalable affordable measurement systems, new disseminated systems that utilize cloud solutions and use 5G as an enabler for real-time communication are on the rise. This publication proposes a methodology, and tests and demonstrates a relevant manufacturing use case for integrating a non-invasive-to-IT-infrastructure, cloud-based and artificial intelligence-powered monitoring system focused on high performance applications. The proposed methodology has been evaluated in a real industrial environment.<\/jats:p>","DOI":"10.3390\/jsan14060108","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T13:15:14Z","timestamp":1762175714000},"page":"108","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Implementation of a Cloud-Based AI-Enabled Monitoring System in Machining, Utilizing Public 5G Infrastructure"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8521-1980","authenticated-orcid":false,"given":"Grigorios","family":"Kotsakis","sequence":"first","affiliation":[{"name":"Laboratory for Manufacturing Systems & Automation (LMS), Department of Mechanical Engineering & Aeronautics, University of Patras, 26504 Patras, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Papaioannou","sequence":"additional","affiliation":[{"name":"Laboratory for Manufacturing Systems & Automation (LMS), Department of Mechanical Engineering & Aeronautics, University of Patras, 26504 Patras, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4582-3559","authenticated-orcid":false,"given":"Thanassis","family":"Souflas","sequence":"additional","affiliation":[{"name":"Laboratory for Manufacturing Systems & Automation (LMS), Department of Mechanical Engineering & Aeronautics, University of Patras, 26504 Patras, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitris","family":"Tsolkas","sequence":"additional","affiliation":[{"name":"Fogus Innovations & Services, Michali Karaoli 51-53, 16121 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alex","family":"Kakyris","sequence":"additional","affiliation":[{"name":"Fogus Innovations & Services, Michali Karaoli 51-53, 16121 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Panagiotis","family":"Gounas","sequence":"additional","affiliation":[{"name":"CNC Solutions\u2014Panagiotis Gounas Konstantinos Enezlis O.E., 19th km Athens-Lavrion, 19002 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0724-7957","authenticated-orcid":false,"given":"Panagiotis","family":"Stavropoulos","sequence":"additional","affiliation":[{"name":"Laboratory for Manufacturing Systems & Automation (LMS), Department of Mechanical Engineering & Aeronautics, University of Patras, 26504 Patras, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,31]]},"reference":[{"key":"ref_1","unstructured":"(2025, September 30). 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Available online: https:\/\/www.opensignal.com\/reports\/2025\/01\/greece\/mobile-network-experience."}],"container-title":["Journal of Sensor and Actuator Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2224-2708\/14\/6\/108\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T05:37:18Z","timestamp":1762234638000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2224-2708\/14\/6\/108"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,31]]},"references-count":16,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["jsan14060108"],"URL":"https:\/\/doi.org\/10.3390\/jsan14060108","relation":{},"ISSN":["2224-2708"],"issn-type":[{"type":"electronic","value":"2224-2708"}],"subject":[],"published":{"date-parts":[[2025,10,31]]}}}