Essays about: "Inbäddning"
Showing result 1 - 5 of 36 essays containing the word Inbäddning.
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1. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. READ MORE
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2. Cytokine capture with beads in cytotoxicity assays in microwells
University essay from KTH/Tillämpad fysikAbstract : Cytokines are small, secreted proteins that are important for cell signalling in theimmune system. Interferon gamma (IFN-γ) is one of the most potent cytokines thatnatural killer (NK) cells of the innate immune system secrete with both antiviral,antibacterial, and antitumoral activity. READ MORE
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3. Landsbygdsföretagen och den gröna omställningen : en studie om företagsutveckling på landsbygden
University essay from SLU/Dept. of EconomicsAbstract : I Piteå står företagare inför stora förändringar. I samband med de omfattande investeringar som görs inom ramen av den gröna omställningen förändras de kontextuella faktorer som är avgörande för ruralt entreprenörskap, med andra ord företag som härstammar från platsen och anammar platsens unika resurser och som inte kan flyttas någon annanstans. READ MORE
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4. Holistic embedding of equivalent conicity in wheelset maintenance
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : With continuing digitization of railways an increasing number of data is recorded but particularly in operation advanced analysis tends to be partially rudimentary. Yet, it is essential to implement sophisticated processing for all records in order to develop more purposeful and predictive vehicle maintenance strategies that adhere to the increasing requirements imposed by the homologation. READ MORE
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5. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. READ MORE