Essays about: "thesis on computer science"
Showing result 21 - 25 of 285 essays containing the words thesis on computer science.
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21. Swedish Stock and Index Price Prediction Using Machine Learning
University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikationAbstract : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. READ MORE
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22. Comparison of graph databases and relational databases performance
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : There has been a change of paradigm in which way information is being produced, processed, and consumed as a result of social media. While planning to store the data, it is important to choose a suitable database for the type of data, as unsuitable storage and analysis can have a noticeable impact on the system’s energy consumption. READ MORE
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23. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE
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24. 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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25. Analysis and measurement of visuospatial complexity
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : The thesis performs an analysis on visuospatial complexity of dynamic scenes, and morespecifically driving scenes in the propose of gaining a knowledge on human visual perception of the visual information present in a typical driving scene. The analysis and measurement of visual complexity is performed by utilizing two different measure modelsfor measuring visual clutter, Feature congestion clutter measure [1] and Subband entropyclutter measure[1] introduced by Rosenholtz, a cognitive science and research. READ MORE