Essays about: "AI technique"
Showing result 11 - 15 of 65 essays containing the words AI technique.
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11. Unraveling the Paradox: Balancing Personalization and Privacy in AI-Driven Technologies : Exploring Personal Information Disclosure Behavior to AI Voice Assistants and Recommendation Systems
University essay from Jönköping University/Internationella HandelshögskolanAbstract : As society progresses towards a more algorithmic era, the influence of artificial intelligence (AI) is driving a revolution in the digital landscape. At its core, AI applications aim to engage customers by providing carefully tailored and data-driven personalization and customization of products, services, and marketing mix elements. READ MORE
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12. 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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13. Improving Pith Detection and Automated Log Identification using AI
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Tracking of tree logs from a harvesting site to its processing site is a legal requirement for timber-based industries. Wood log identification is an important task in the forestry industry and has traditionally relied on manual inspection by trained experts. READ MORE
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14. Generative AI for Synthetic Data
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Synthetic data generation has emerged as a valuable technique for addressing data scarcity and privacy concerns and improving machine learning algorithms. This thesis focuses on progressing the field of synthetic data generation, which may play a crucial role in AI-heavy industries such as telecommunications. READ MORE
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15. Speaker diarization in challenging environments using deep networks : An evaluation of a state-of-the-art system
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Speaker diarization is the task of determining 'who spoke when' in an audio segment. Since the breakthrough of deep learning, speech technology has experienced a huge improvement in a wide range of metrics and fields, and speaker diarization is no different. READ MORE