"machine learning" - Selaus asiasanan mukaan Opinnäytetyöt (Käyttörajattu kokoelma)

    • Glaucoma in the era of AI : Exploring the current state, challenges and opportunities of AI-driven solutions in glaucoma care 

      Huang, Lorenzo (2024)
      Artificial intelligence (AI) is widely considered nowadays as one of the most innovative technologies of the 21st century, set to revolutionize every existent industry and transform the way how we live. AI have also been ...
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    • Links Are All You Need: Graph Embeddings for Website Analysis and Classification 

      Govender, Praven (2025)
      This thesis explores the practical utility of domain-level graph embeddings derived from hyperlink structures at web scale. Using a 21TB subset of Common Crawl (n.d.) data, we demonstrate how these embeddings can effectively ...
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    • Machine learning for assessing chloride resistance of concrete 

      Taffese, Woubishet Zewdu (2022)
      Predicting the chloride resistance property of concrete accurately is critical in structural engineering. This thesis project adopts a state-of-the-art machine learning algorithm, XGBoost, to predict the chloride migration ...
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    • Machine Learning for Small Data : A Comprehensive Study with the Case of Sovereign Debt Default Forecasting 

      Nguyen, Linh (2024)
      This study explores the application of machine learning to forecast sovereign debt default likelihood. Challenges include a limited sample size of 8175 country-year observations across 180 countries from 1970 to 2019, high ...
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    • The impact of intelligent audio plugins on TV sound quality 

      Sandström, Daniel (2023)
      The purpose of this study was to give audio engineers working in TV post-production knowledge on how and when to utilize intelligent audio plugins to improve sound quality. I became interested in this topic while working ...
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    • Tumor Detection in Distributed Data Silos 

      Khan, Muhammad Irfan (2023)
      This thesis focuses on a computer vision problem of tumor detection from magnetic resonance images in federated learning settings and investigates the performance of using different subsets of collaborators in each federated ...
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