RACE-RANK: A hybrid rule-based classifier using PageRank algorithm
: Compares authentic and simulated racing, finding that authentic racing leads to significantly higher heart rates (159 bpm vs 112 bpm) and core temperatures due to G-loading and psycho-emotional stress.
: Examines the perceptual-cognitive expertise required to negotiate track bends at high speeds under extreme time pressure.
The paper introduces a deep learning model designed for Adaptive Cruise Control (ACC).
In comparative tests, RACER achieved zero violations of driving constraints, outperforming traditional Neural Networks and Physics-Informed Neural Networks (PINNs). 2. RACER-m: T Cell Specificity Model