Essays about: "Bayesian Filtering"
Showing result 1 - 5 of 23 essays containing the words Bayesian Filtering.
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1. Track Before Detect in Active Sonar Systems
University essay from Uppsala universitet/Signaler och systemAbstract : Detection of an underwater target with active sonar in shallow waters such as the Baltic sea is a big challenge. This since the sound beams from the sonar will be reflected on the surfaces, sea surface and sea bottom, and the water volume itself which generates reverberation. READ MORE
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2. A Bayesian Filtering Approach to Incorporate Views in Economic Scenario Generation
University essay from Lunds universitet/Matematisk statistikAbstract : .... READ MORE
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3. Traffic State Estimation for Signalized Intersections : A Combined Gaussian Process Bayesian Filter Approach
University essay from KTH/TransportplaneringAbstract : Traffic State Estimation (TSE) is a vital component in traffic control which requires an accurate viewof the current traffic situation. Since there is no full sensor coverage and the collected measurementsare inflicted with random noise, statistical estimation techniques are necessary to accomplish this. READ MORE
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4. Recommender System for Gym Customers
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Recommender systems provide new opportunities for retrieving personalized information on the Internet. Due to the availability of big data, the fitness industries are now focusing on building an efficient recommender system for their end-users. This thesis investigates the possibilities of building an efficient recommender system for gym users. READ MORE
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5. An application of Bayesian Hidden Markov Models to explore traffic flow conditions in an urban area
University essay from Uppsala universitet/Statistiska institutionenAbstract : This study employs Bayesian Hidden Markov Models as method to explore vehicle traffic flow conditions in an urban area in Stockholm, based on sensor data from separate road positions. Inter-arrival times are used as the observed sequences. READ MORE