Essays about: "Adaptive Prediction"
Showing result 1 - 5 of 44 essays containing the words Adaptive Prediction.
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1. The influence of soil modeling on the prediction of vehicle dynamics and mobility – A comparison between the Finite Element Method and a Semi[1]Empirical Model
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This master's thesis investigated the influence of soil modeling on vehicle dynamics and mobility predictions with a focus on two different soil models implemented in Project Chrono: the Bekker-Wong model, and a Finite Element (FE) model. The primary objective is to provide insights for decision-making regarding the most suitable soil model under specific circumstances. READ MORE
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2. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE
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3. Selective Kernel Network based Crowding Counting and Crowd Density Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE
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4. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. READ MORE
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5. Predicting Indoor Carbon Dioxide Concentration using Online Machine Learning : Adaptive ventilation control for exhibition halls
University essay from Jönköping University/Tekniska HögskolanAbstract : A problem that exhibition halls have is the balance between having good indoor air quality andminimizing energy waste due to the naturally slow decrease of CO2 concentration, which causes Heat-ing, Ventilation and Air-Conditioning systems to keep ventilating empty halls when occupants have leftthe vicinity. Several studies have been made on the topic of CO2 prediction and occupancy predictionbased on CO2 for smaller spaces such as offices and schools. READ MORE
