FelixOtt/gnss_pseudo_labeling

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling Latest update: 2024-10-30 Project size: 13 GB Introduction We propose an machine learning approach that achieves high generalization in classifying interference through orchestrated monitoring stations deployed along highways. We present a semi-supervised approach coupled with an uncertainty-baased voting mechanism by combining Monte-Carlo dropout and Deep… See the full description on the dataset page: https://huggingface.co/datasets/FelixOtt/gnss_pseudo_labeling.

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