Simbarashe Aldrin Ngorima

Identifying just a handful of critical features can lead to substantial architecture compression without sacrificing performance in vehicular channel estimators.

CNN-based feature extraction outperforms traditional methods, achieving 98.4% accuracy in real-time plant growth stage estimation.