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Engineering Review : Međunarodni časopis namijenjen publiciranju originalnih istraživanja s aspekta analize konstrukcija, materijala i novih tehnologija u području strojarstva, brodogradnje, temeljnih tehničkih znanosti, elektrotehnike, računarstva i građevinarstva, Vol. 45 No. 3, 2025.

Izvorni znanstveni članak

https://doi.org/10.30765/er.2646

Integrating AI and OR for real-time optimization in digital twin ecosystems and metaverse engineering

Nithyashri J. ; Department of Computing Technologies, School of Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. *
Naveeth Babu C. ; Aristrol technologies, IT coordinator, Department of Information Technology, Toronto, Canada.
Jayaraj Velusamy ; Department of Electronics and Communication Engineering, Nehru Institute of Engineering and Technology, Tamil Nadu.
Cowsigan S.P. ; Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India
Balakrishnan S. ; Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology (AVIT), Vinayaka Mission's Research Foundation (Deemed to be University) Chennai.
Anitha R ; Department of Electronics and Communication Engineering, Government Engineering College Palakkad, Sreekrishnapuram, Kerala.

* Dopisni autor.

Puni tekst: engleski pdf 2.601 Kb

str. 55-73

preuzimanja: 46

citiraj

Sažetak

Digital twins are essential in metaverse engineering, serving as a foundation for optimization, simulation, and analysis. However, these digital replicas are vulnerable to malicious software, potentially compromising data and allowing unauthorized access. AI enhances digital twins by enabling them to learn from real-time data, making autonomous decisions. AI algorithms allow for simulating complex environments that react instantly to human input, creating immersive experiences. This article introduces an AI-based study aimed at optimizing digital twin ecosystems and metaverse engineering platforms in real-time (AI-DTE-ME). By integrating metaverse technology with digital twins, realistic and interactive virtual worlds can be created. Continuous data analysis allows digital twins to detect patterns, predict issues, and adapt processes dynamically. This capability brings the Metaverse to life, enabling the creation of intelligent, interactive digital objects. The study highlights the effectiveness of combining AI with operations research (OR) for the real-time optimization of Metaverse engineering and Digital Twin ecosystems.

Ključne riječi

artificial intelligence (AI); digital twin (DT); metaverse engineering (ME); operations research (OR); real-time optimization; AI-DTE-ME framework

Hrčak ID:

341330

URI

https://hrcak.srce.hr/341330

Datum izdavanja:

9.10.2025.

Posjeta: 154 *