Search for dissertations about: "Adaptiv Inlärning"
Found 5 swedish dissertations containing the words Adaptiv Inlärning.
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1. Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric Vehicles
Abstract : Hybrid electric vehicles (HEVs) are irreplaceable in attaining sustainable development in contemporary society. Owing to the extra degree of freedom in supplying traction power, HEVs resort to appropriate energy management strategies (EMSs) to present their superiority over conventional internal combustion engine vehicles and pure electric vehicles. READ MORE
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2. Hydrobatics: Real-time Control, Simulation and Learning for Underactuated AUVs in Agile Maneuvers
Abstract : The term hydrobatics refers to the agile maneuvering of underwater vehicles. Underwater robots such as autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) are either designed as flight style, optimized for range and speed, or hover style, optimized for precise maneuverability. READ MORE
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3. A study of wireless communications with reinforcement learning
Abstract : The explosive proliferation of mobile users and wireless data traffic in recent years pose imminent challenges upon wireless system design. The trendfor wireless communications becoming more complicated, decentralized andintelligent is inevitable. READ MORE
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4. Statistical methods in medical image estimation and sparse signal recovery
Abstract : This thesis presents work on methods for the estimation of computed tomography (CT) images from magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. The study also demonstrates sparse signal recovery method, which is an intermediate method for magnetic resonance image reconstruction. READ MORE
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5. Inference and Online Learning in Structured Stochastic Systems
Abstract : This thesis contributes to the field of stochastic online learning problems, with a collection of six papers each addressing unique aspects of online learning and inference problems under specific structures. The first four papers focus on exploration and inference problems, uncovering fundamental information-theoretic limits and efficient algorithms under various structures. READ MORE