Science, Engineering Management and Information Technology

The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 1113, 2025.

The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.

Inhalt

.- Sustainable & Circular Decision-Making.

. Eco-Friendly Hospitality in the Digital Era: Trends, Technologies, and Transformations.

.- Management tools for developing competitive advantages in farming.

.- Assessing Climate and Economic Risks to Food Security in Europe: A Multiscenario and Lag-Based Modelling Approach.

.- Strategic Mechanisms for Managing Sustainable Development Hospitality Industry in Ukraine.

.- Integrating digital technologies into the design of ejection carbonization systems to reduce greenhouse emissions.

.- The Strategic Role of Information Systems in Modern Business: Empowering Decision-Making and Sustaining Competitive Advantage.

.- Harnessing Information Systems for Sustainable Enterprise Development: A Systematic Literature Network Analysis.

.- A framework for blockchain-enabled sustainable supply chain.

.- Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.

.- IT technologies in translation as an important component of Ukraine's interaction with partners in the global food market.

.- Optimizing Non-Emergency Patient Transport with Variable Neighborhood Search: A Real-World Case Study.

. Enhancing Data Security and Privacy Using Federated Learning: A Scalable Framework for Distributed Systems.

.- Human Papillomavirus Detection using Novel Machine Learning Algorithm Based on Cytology Images.

.- XAI-Augmented Decision Support Systems for Complex, Multi-Criteria Problems in Uncertain Healthcare Environments.