Essays about: "Deep"
Showing result 21 - 25 of 3447 essays containing the word Deep.
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21. Förekomst av snöskytte i hyggesfria metoden schackrutehuggning i Västerbotten
University essay from SLU/School for Forest ManagementAbstract : Skogen är och har länge varit en viktig resurs för länet Västerbotten och den står för cirka 14 procent av den produktiva skogsmarksarealen i Sverige. Skogen i Västerbotten har brukats sedan medeltiden från småskaligt hushållsbehov till storskaligt skogsbruk i modern tid. READ MORE
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22. 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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23. 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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24. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE
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25. 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