Mira Partha's scientific contributions
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It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
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Citations
... Experimental results on real-world GNSS data show that the GTNN achieves over 96% accuracy in satellite visibility prediction and outperforms existing MP prediction methods in terms of generalization performance. In [114], a novel method using Neural City Maps, built on Neural Radiance Fields, is proposed to represent urban geometry accurately. The study evaluates different prediction methods for NLOS effects using Neural City Maps and demonstrates their effectiveness in improving localization accuracy in challenging urban environments. ...
