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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
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• Computer Networks and Communications
• Mathematical Programming
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Issues up to 2022 co-published with and available at:
Towards industry 5.0 : Study of artificial intelligence in areas of application - A methodological approach
*Madan Mohan Tito AyyalasomayajulaCorresponding authormail2tito@gmail.comComputer Science School of Business & Technology Aspen UniversityDepartment of Computer Science College of Engineering Osmania UniversityHyderabad, Telangana, 500007, IndiaView full profile →
, Gayatri Parasagayatri.p@kgr.ac.inDepartment of Computer Science Engineering KG Reddy College of Engineering and Technology Hyderabad, Telangana, 500086, IndiaView full profile →
, Bhuvan Unhelkarbunhelkar@usf.eduMuma College of Business University of South Florida 8350 N. Tamiami Trail SarasotaFlorida, 33620, USA0000-0003-1118-3837View full profile →
, Sivaram Murugansivaram.murugan@sivas.edu.trDepartment of Computer Engineering Faculty of Engineering and Natural Sciences Sivas University of Science and TechnologySivas, 58000, TurkeyView full profile →
, Vishnupriya Borravishupriyab@kluniversity.inComputer Science Engineering Department Koneru Lakshmaiah Education Foundation (Deemed to be University) GreenfieldsVaddeswaram, Andhra Pradesh, 522302, IndiaView full profile →
, Thota Anithathota.anitha@gmail.comDepartment of Computer Science Engineering Malla Reddy Engineering College (Autonomous) Maisammaguda, Medchal-Malkajgiri, DistrictSecunderabad, Telangana, 500100, IndiaView full profile →
* Corresponding author · click or hover a name for details
Industry 5.0 is AI-driven and at the forefront of human-machine collaboration, which has transformed global industries. The paper highlights the applications of AI beyond manufacturing in the healthcare, finance, transport, and agriculture sectors, all being crucial to the development of Industry 5.0. A deep sense of the necessity of bespoke AI to meet the industry’s needs and to enhance human-machine interaction is emphasized by this research. This research guides researchers, stakeholders, and policymakers on AI’s ability to transform multiple sectors. The paper identifies the trends, challenges, and innovative AI methodologies with industry literature reviews and more advanced analytics to optimize the scope of Industry 5.0 related to productivity efficiency and deregulation frameworks.
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