Essays about: "Neural Networks"
Showing result 1 - 5 of 1287 essays containing the words Neural Networks.
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1. Driver Behavior Classification in Electric Vehicles
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Studies have shown that driving style affects the energy consumption of electric vehicles, with aggressive driving consuming up to 30% more energy than moderate driving. Therefore, modeling of aggressive driving can provide a more precise estimation of the energy consumption and the remaining range of a vehicle. READ MORE
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2. Quantum Error Correction Using Graph Neural Networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : A graph neural network (GNN) is constructed and trained with a purpose of usingit as a quantum error correction decoder for depolarized noise on the surface code.Since associating syndromes on the surface code with graphs instead of grid-likedata seemed promising, a previous decoder based on the Markov Chain Monte Carlomethod was used to generate data to create graphs. READ MORE
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3. Sequential Anomaly Detection for Log Data Using Deep Learning
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : AbstractSoftware development with continuous integration changes needs frequent testing forassessment. Analyzing the test output manually is time-consuming and automatingthis process could be beneficial to an organization. READ MORE
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4. Opto-vibrational coupling in molecular solar thermal storage materials: Electronic structure calculations and neural-networkbased analysis Giannis Kostaras Degree project
University essay from Göteborgs universitet / Institutionen för fysikAbstract : Molecular solar thermal storage materials are proposed as a clean, renewable energysolution for a world with ever increasing energy needs. Norbornadiene is anorganic compound suitable for molecular solar thermal storage systems. READ MORE
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5. Physics-informed Neural Networks for Biopharma Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Physics-Informed Neural Networks (PINNs) are hybrid models that incorporate differential equations into the training of neural networks, with the aim of bringing the best of both worlds. This project used a mathematical model describing a Continuous Stirred-Tank Reactor (CSTR), to test two possible applications of PINNs. READ MORE
