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Showing result 11 - 15 of 1266 essays matching the above criteria.

  1. 11. Topological regularization and relative latent representations

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alejandro García Castellanos; [2023]
    Keywords : Algebraic Topology; Large Language Models; Relative Representation; Representation Learning; Model Stitching; Topological DataAnalysis; Zero-shot; Algebraisk topologi; Stora språkmodeller; Relativ representation; Representationsinlärning; Modell sömmar; Topologisk dataanalys; Zero-shot;

    Abstract : This Master's Thesis delves into the application of topological regularization techniques and relative latent representations within the realm of zero-shot model stitching. Building upon the prior work of Moschella et al. READ MORE

  2. 12. On The Evaluation of District Heating Load Predictions

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Herman Hansson; [2023]
    Keywords : Technology and Engineering;

    Abstract : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. READ MORE

  3. 13. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Joel Viggesjöö; [2023]
    Keywords : Machine Learning; Federated Learning; Computer Vision;

    Abstract : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. READ MORE

  4. 14. Machine Learning model applied to Reactor Dynamics

    University essay from KTH/Fysik

    Author : Dionysios Dimitrios Nikitopoulos; [2023]
    Keywords : Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Abstract : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. READ MORE

  5. 15. Analyzing the performance of active learning strategies on machine learning problems

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Vendela Werner; [2023]
    Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE