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This paper discusses how graph models can be dynamically updated, analyzed, and visualized in real-time to unlock advanced analytics capabilities and identifies key challenges and future research opportunities in the field.
The findings indicate that digital technologies significantly improve citizen engagement, government transparency, responsiveness, and opportunities for collective action, and at the same time, concerns remain regarding information integrity, democratic polarization, and algorithm-driven influence.
The study concludes that trust is a multidimensional concept involving technical performance, ethical considerations, and user experience, highlighting the need for trustworthy AI systems to support effective and responsible digital communication.
This paper proposes a unified CPPS-based framework that integrates intelligent sensing, cyber-physical communication, distributed computing, autonomous decision support, adaptive robotic control, predictive maintenance, and real-time production optimization, and establishes CPPS as a robust foundation for sustainable,...
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