Essays about: "Master thesis algorithms"
Showing result 21 - 25 of 274 essays containing the words Master thesis algorithms.
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21. ML enhanced interpretation of failed test result
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE
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22. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. READ MORE
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23. A comparison between tomographic and generated open cell metal foam structures
University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperAbstract : This master thesis project presents steps on the image processing and reconstruction of an aluminium open-cell metal foam from $\mu$CT tomographic data. In addition, it also considers the generation of architecture foams using Voronoi Tessellation in combination with sphere packing algorithms. READ MORE
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24. An Artificial Neural Network Approach to Algorithmic Trading
University essay from Lunds universitet/Matematisk statistikAbstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE
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25. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE