Essays about: "computer science - simulations"
Showing result 1 - 5 of 35 essays containing the words computer science - simulations.
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1. Origin of blue straggler stars in the Milky Way halo
University essay from Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionenAbstract : Blue straggler stars (BSSs) are exotic stellar objects that appear to be younger than the age of the population they come from suggests. They are observed as the extension of the main sequence stars, beyond the turn-off point. READ MORE
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2. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning
University essay from Uppsala universitet/Industriell teknikAbstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE
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3. The use of mixed reality in simulations
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Simulators utilizing virtual reality have a problem with visibility of controls; when using a head mounted display, a user is blind to the controls being used. Meaning that the user needs to become accustomed to the controls before utilizing the simulator properly. READ MORE
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4. A Review of Literature and Public Datasets for the Application of Artificial Intelligence in the Railway Industry
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This Thesis project aims for a holistic overview of Artificial Intelligence (AI) applications in the railway industry. Our research covers diverse subdomains of railway systems such as traffic planning and scheduling, logistics and optimization, maintenance, safety and security, passenger experience, communication, and autonomous trains. READ MORE
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5. Convolutions on graphs for learning vehicle crash behaviour
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Convolutional Neural Networks (CNN) have shown successful results in the recent years, especially within the area of image analysis. The idea of learning to predict the result of a crash simulation using machine learning rose from the analogy between images and Finite Element models (FE-models) used in crash simulations. READ MORE