
Science, Engineering Management and Information Technology
Description
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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 11-13, 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.
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Content
.- 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.
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