Essays about: "Record labels"
Showing result 6 - 10 of 94 essays containing the words Record labels.
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6. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE
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7. The TikTok effect: How TikTok is shaping the way we consume music
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : Digitalization has in recent years transformed the music industry and how people consume music. Simultaneously, the social media app TikTok has emerged as a major player in marketing, using its unique algorithmic structure and user-generated content to become a powerful marketing tool for musicians and record labels alike. READ MORE
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8. Machine Learning-based MIMO Indoor Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. READ MORE
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9. Automatic icon placement approach for improved association & walkability on city wayfinding maps
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : With the evolution of cartography from hand-drawn to digital maps, the task of icon placement has become increasingly complex. Nowadays there is a need to automate this process to produce high quality results in less time. READ MORE
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10. 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