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1. link.springer.com › chapter › 10One Class to Test Them All: One-Class Classifier-Based ADS-B...

   link.springer.com › chapter › 10

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   4 godz. temu · Results of Spoofed Locations. We created spoofed locations using the data-shifting method described in 4.3. Given our assumption that signal characteristics depend on the area and may vary, we specifically chose distant hexagons as potential candidates for generating spoofed samples in our experiment to validate this hypothesis.

2. link.springer.com › chapter › 10Analysing Urban Transport Using Synthetic Journeys

   link.springer.com › chapter › 10

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   4 godz. temu · The objective of the UJS system is to enable large-scale analysis of journeys in urban areas. The high-level architecture of the system including its core components is presented in Fig. 1.Let us note that both JourneyGenerator and JourneyDescriber were designed to be a part of the Use4IoT architecture [].The PT schedule data in GTFS format for each day is developed based on data downloaded ...