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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorChakravarthi, M. Kalyan
dc.contributor.authorPavan Kumar, Y. V.
dc.contributor.authorPradeep Reddy, G.
dc.date.accessioned2026-01-06T10:55:57Z
dc.date.available2026-01-06T10:55:57Z
dc.date.issued2024
dc.identifier.isbn9798350352429en_US
dc.identifier.issn2831-5634en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159669
dc.description.abstractThe potential technical breakthroughs in the field of process control and automation are a subject of significant interest and research. These advancements have the potential to transform several industries by enhancing safety, productivity, and sustainability in manufacturing processes. One potential advancement is the integration of emerging technologies such as artificial intelligence (AI) and machine learning (ML) to process control systems. AI and ML are anticipated as key catalysts in improving decision-making abilities and optimizing processes. Besides, they can analyze large amounts of data in real-time industrial processes and can perform the necessary predictions. Further, the integration of IoT modernizes and creates a seamless network of interconnected devices with real-time communication and monitoring facilities. It opens a path for remote control, enhancing safety measures, and reducing operational costs. Moreover, cybersecurity becomes progressively vital as systems become more interconnected. Robust measures to safeguard against potential cyber threats will be imperative to ensure the integrity/reliability of automated processes. With this motivation, this paper discusses various futuristic and revolutionary aspects of process control and automation. These technical advances not only increase efficiency/precision but also herald a new era of intelligent systems that can handle dynamic industrial backdrops.en_US
dc.format.extent6 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159404en_US
dc.source.urihttps://ieeexplore.ieee.org/document/10542581en_US
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectCyber-Physical Systems (CPS)en_US
dc.subjectExplainable AI (XAI)en_US
dc.subjectInternet of Things (IoT)en_US
dc.subjectMachine Learning (ML)en_US
dc.subjectRobotic Process Automation (RPA)en_US
dc.titlePotential Technological Advancements in the Future of Process Control and Automationen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2024-06-05
dcterms.references19en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVIT-AP Universityen_US
dc.contributor.institutionKookmin Universityen_US
dcterms.sourcetitle2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9798350352412en_US
dc.identifier.eissn2690-8506en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream61684.2024.10542581en_US


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