Essays about: "deep time"
Showing result 6 - 10 of 1174 essays containing the words deep time.
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6. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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7. The process of eroding democracy : A comparative analysis between Orbán’s Hungary and Erdogan’s Türkiye
University essay from Linnéuniversitetet/Institutionen för statsvetenskap (ST)Abstract : The process of going from relatively established democracies to not being classified as such in Hungary in Türkiye during the time of their leaders, Orban and Erdogan, in the executive branch of government is an interesting one. The research question “How have Erdogan and Orban´s parties been eroding democratic values with their policies since the leaders came into executive power in Türkiye and Hungary?” will work as the main guideline for the thesis. READ MORE
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8. Measuring copper abundances in the Galactic Bulge
University essay from Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionenAbstract : Context: The chemical evolution of Cu in the Galactic bulge have been studied in a few studies using red giant branch stars, but the ages of individual red giant stars are difficult to determine. In addition, the bulge has been a challenging region of the Milky Way galaxy to obtain high-resolution spectra of stars, except when observing through certain few small fields into the bulge that are known to have low extinction. READ MORE
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9. Data Augmentation for Object Detection using Deep Reinforcement Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. READ MORE
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10. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE
