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liadber / androsec-rl

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Efficient Android Malware detection using Random - Protype of BA's final project (Efficient Android Malware Detection using RL) - Amit Moshe (@Amit223) & Inbar Roth (@Inbaroth) & Liad Bercovich (@liadber)

android security machine-learning random-forest svm machine-learning-algorithms cybersecurity randomforest knn cyber-security svm-classifier knn-classification malware-detection desiciontree knn-classifier detectors androidsec svm-mode
  • Updated Jan 10, 2020
  • Python

ApeliDev / Adaptive_detection

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Adaptive_detection is a sophisticated reinforcement learning framework designed for autonomous driving applications using the CARLA simulator. The project integrates state-of-the-art YOLOv9 object detection to enable adaptive perception and decision-making in complex driving scenarios.

python ssd detectors carla-simulator multi-modal-learning autonomousdriving simulation-based-optimization driving-simulator detr yolov9-object-tracking
  • Updated May 16, 2025
  • Python

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