Visual Explainable AI Cuts Air Traffic Controller Workload in Simulation Study
Visual HeatMap explanations significantly lowered mental workload and increased willingness to adopt AI conflict-resolution tools among both student and expert ...
Visual HeatMap explanations significantly lowered mental workload and increased willingness to adopt AI conflict-resolution tools among both student and expert ...
Researchers developed RPDL-YOLO, an enhanced YOLOv8 framework that improves small bird detection accuracy while operating at 93.1 frames per second ...
A study in Discover Vehicles found that wand-based marshalling systems ranked first among five alternatives for guiding aircraft to parking ...
A decade-long molecular study at Shanghai Pudong International Airport found that migratory birds accounted for over 84 percent of all ...
A new conceptual framework from Collins Aerospace researchers defines how future cockpit systems could detect pilot impairment and incapacitation in ...
A new study combining statistics and machine learning shows that measurable postural instability emerges at simulated altitudes as low as ...
A new systematic review of 34 studies reveals that while AI models can predict vigilance decrements in air traffic controllers ...
NASA researchers used Computation Tree Logic model-checking to formally verify that their machine learning runway configuration tool meets crosswind and ...
A new study finds that large language models systematically strip hedges from aviation and maritime incident reports when summarizing them, ...
New simulations benchmarked against aircraft observations over New Zealand show that resolving mountain waves and their turbulence demands kilometer-scale grids ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine