Enhancing System Reliability via Multi-Version Machine Learning and Rejuvenation ― A Case Study on Multi-Version Perception with Time-Triggered Rejuvenation in an AV Simulator
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Can One Deep-Learning Detector Find Trees Across Any LiDAR Platform?
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Analysis of taxi trajectories using vector representation of time-added graphs
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Searching for the necessary variables through random variations
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Augmenting abnormal data to avoid overlooking anomalies
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Effective machine learning even with irregular data
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