Peer Reviewed Open Access Crossref DOI CC Licensed

Vol. 13 No. 04 (2026): Volume 13 Issue 04

This issue includes peer-reviewed research articles, review papers, case studies and short communications.

Journal International Research Journal of Computer and Electronics Engineering
ISSN 2329-874X
Published Date 2026-04-01
Total Articles 4 Articles
Articles

Designing Smart Cyber-Physical Architectures Through Digital Twin Integration, Sensor Analytics, and AI-Driven Industrial Optimization

The convergence of cyber-physical systems (CPS), digital twin technologies, sensor analytics, and artificial intelligence has transformed the operational architecture of modern industrial environments. Industry 4.0 ecosystems increasingly rely on intelligent infrastructures...

Authors: Dr. Ahmed Raza, Dr. Sana Khalid (Author)

Crossref DOI: https://doi.org/10.64917/ircee.v13.i04.a01


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Articles

Dynamic Frameworks for Real-Time Interaction and Control in Digital Twin-Based Smart Manufacturing Systems

The evolution of Industry 4.0 has accelerated the integration of cyber-physical systems, intelligent automation, and digital twin technologies into smart manufacturing environments. Digital twins have emerged as dynamic virtual representations capable of enabling synchronized...

Authors: Dr. Somchai Vongphachan, Dr. Kanya Phommasak (Author)

Crossref DOI: https://doi.org/10.64917/ircee.v13.i04.a02


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249 120 0 0 120 369
Articles

Evolution Of Intelligent Devops Systems: Analytical Approaches To AI-Driven Automation And Cognitive IT Operations At Scale

The evolution of DevOps practices has transitioned from reactive operational models to increasingly autonomous, AI-driven, and cognitively enhanced systems capable of managing large-scale distributed infrastructures. This paper examines the analytical progression of...

Authors: Dr. Julien Weber, Dr. Sophie Muller (Author)

Crossref DOI: https://doi.org/10.64917/ircee.v13.i04.a03


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172 105 0 0 105 277
Articles

Smart Conversational Support Architecture for Enhancing University Reception and Academic Information Assistance

Universities increasingly rely on digital technologies to improve administrative efficiency and student engagement. Traditional university reception systems often experience operational limitations due to high inquiry volumes, restricted office hours, inconsistent information...

Authors: Kavindu Jayasinghe (Author)


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167 32 0 0 32 199
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