The CanAI Journal of Civil Engineering explores how artificial intelligence can transform the planning, design, and maintenance of infrastructure. Topics of interest include AI-driven smart cities, predictive maintenance of roads and bridges, structural health monitoring, and machine learning applications in sustainable urban development. The journal also encourages research on climate resilience, disaster risk reduction, and the integration of AI into construction practices. Its mission is to showcase innovative approaches that improve safety, efficiency, and sustainability in civil engineering.
The CanAI Journal of Civil Engineering explores how artificial intelligence can transform the planning, design, and maintenance of infrastructure. Topics of interest include AI-driven smart cities, predictive maintenance of roads and bridges, structural health monitoring, and machine learning applications in sustainable urban development. The journal also encourages research on climate resilience, disaster risk reduction, and the integration of AI into construction practices. Its mission is to showcase innovative approaches that improve safety, efficiency, and sustainability in civil engineering.
CanAI Journal of Civil Engineering is a leading publication in the field, focusing on cutting-edge research and innovative methodologies. We leverage artificial intelligence to enhance the peer review process and ensure the highest quality of published research.
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