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p-Index From 2021 - 2026
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All Journal Civil Engineering Science and Technology (CEST) International Journal of Technology and Modeling
Anh, Nguyễn Minh
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering

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Intelligent RPA for Urban Permit Application Workflows Anh, Nguyễn Minh; Bảo, Trần Quốc; Phúc, Lê Hoàng
International Journal of Technology and Modeling Vol. 3 No. 2 (2024)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v3i2.145

Abstract

The digital transformation of urban management has paved the way for the integration of intelligent systems aimed at optimizing municipal workflows. One such system is Robotic Process Automation (RPA), which, when enhanced with Artificial Intelligence (AI), offers substantial improvements in automating repetitive tasks. This paper explores the application of Intelligent RPA in urban permit application workflows, specifically focusing on its potential to streamline the processes of permit requests, review, approval, and issuance in urban governance. The paper begins by identifying the current inefficiencies within traditional urban permit systems, such as delays in processing times, human errors, and lack of transparency. By integrating AI-driven decision-making capabilities, Intelligent RPA offers solutions to mitigate these issues, enabling real-time processing, predictive analytics for decision support, and seamless interaction across multiple government departments. Furthermore, this system can adapt to dynamic urban environments, accommodating changes in regulations or requirements. We present a conceptual framework that combines machine learning algorithms and natural language processing (NLP) to automate document verification, permit categorization, and policy compliance checks. The proposed system not only reduces operational costs and processing times but also improves citizen satisfaction by providing faster, more transparent services. The paper concludes with an analysis of potential challenges, including system integration complexities and data privacy concerns, while highlighting future directions for research in intelligent RPA within the context of smart cities.
AI-Driven Digital Infrastructure and Infrastructure Innovation Systems: A Conceptual Analysis Anh, Nguyen Minh; Huy, Tran Quang
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/cpapgr89

Abstract

The evolution of infrastructure development increasingly relies on integrating digital technologies to support complex, multi-actor innovation systems. Modern infrastructure projects involve governments, construction industries, research institutions, and technology providers, requiring efficient coordination, data integration, and collaborative decision-making mechanisms. This study examines the role of AI-Driven Digital Infrastructure in enhancing coordination and collaboration within Infrastructure Innovation Systems. A conceptual literature analysis was employed to synthesize prior research on AI applications, digital infrastructure, and innovation systems and map relationships between AI capabilities and systemic innovation dynamics. This study adopts a purely conceptual research design based on structured literature synthesis rather than empirical testing. Additionally, illustrative conceptual scenarios demonstrate potential coordination mechanisms that may facilitate information flows, inter-organizational alignment, and collective decision-making. The analysis suggests that AI-Driven Digital Infrastructure may function as a structural enabler contributing to institutional alignment, knowledge integration, and multi-stakeholder interaction within infrastructure ecosystems. The study provides a conceptual framework that links digital intelligence to systemic innovation processes, highlighting the role of AI as a backbone for coordination within complex infrastructure networks. This research contributes to theory by integrating perspectives from digital infrastructure, AI, and Infrastructure Innovation Systems into a unified analytical model. It offers conceptual insights to inform future research on digital infrastructure development.
Co-Authors Bảo, Trần Quốc Huy, Tran Quang Phúc, Lê Hoàng