International Journal of Computational Intelligence Systems is an open access journal publishing research in all aspects of applied computational intelligence.
This Collection seeks novel contributions demonstrating real-world viability and measured safety improvements from applying artificial intelligence, machine learning and data science to core aviation safety challenges including, but not limited to:
Physics-based simulation models for safety scenario analysis
Risk identification using predictive analytics and forecasting
Anomaly detection in aircraft condition monitoring data
Automated analysis of flight data, cockpit voice recorder data, and incident reports
Natural language processing for aviation safety reports
Computer vision applications in aviation infrastructure inspection
Predictive maintenance utilizing deep learning on maintenance logs
Human factors modeling using cognitive systems engineering
Virtual reality environments for aviation safety training
Expert systems and knowledge-based decision support tools
Multi-modal data fusion from diverse aviation safety sources
Visual analytics dashboards for safety data exploration
Blockchain applications for secure aviation data infrastructure
Submit your manuscript to this collection through the participating journal.
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Dr. Zhen-Song Chen
School of Civil Engineering, Wuhan University, China -
Dr. Sheng-Hua Xiong
College of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, China -
Prof. Witold Pedrycz
Department of Electrical and Computer Engineering, University of Alberta, Canada -
Prof. Mirosław J. Skibniewski
Department of Civil and Environmental Engineering, University of Maryland, USA
