Sökning: "consuming behaviour"

Visar resultat 11 - 15 av 138 uppsatser innehållade orden consuming behaviour.

  1. 11. Spent Nuclear Fuel under Repository Conditions : Update and Expansion of Database and Development of Machine Learning Models

    Master-uppsats, KTH/Kemi

    Författare :Maria Abada; [2022]
    Nyckelord :Spent nuclear fuel; spent nuclear fuel dissolution; spent nuclear fuel corrosion; machine learning model; dissolution predictions; Utbränt kärnbränsle; upplösning av utbränt kärnbränsle; korrosion av utbränt kärnbränsle; maskininlärningsmodeller; prediktioner av upplösning;

    Sammanfattning : Förbrukat kärnbränsle är mycket radioaktivt och behöver därför lagras i djupa geologiska förvar i tusentals år innan det säkert kan återföras till naturen. På grund av de långa lagringsperioderna görs säkerhetsanalyser av de djupa geologiska förvaren. LÄS MER

  3. 12. Artificial Neural Network in Exhaust Temperature Modelling : Viability of ANN Usage in Gasoline Engine Modelling

    Master-uppsats, Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

    Författare :Musa Nibras; Roos Linus; [2022]
    Nyckelord :Artificial Neural Network; Data-driven Modelling; Engine Modelling; Transient behaviour; Static behaviour; Feed Forward Network; Layer Recurrent Network; NARX; Long Short Term Memory; Gated Recurrent Network; Data processing;

    Sammanfattning : Developing and improving upon a good empirical model for an engine can be time-consuming and costly. The goal of this thesis has been to evaluate data-driven modelling, specifically neural networks, to see how well it can handle training for some static models like the mass flow of air into the cylinder, mean effective pressure and pump mean effective pressure but also for transient modelling, specifically the exhaust gas temperature. LÄS MER

  4. 13. Optimizing L2-regularization for Binary Classification Tasks

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Oskar Bolinder; [2022]
    Nyckelord :Machine learning; Overtraining; L2-regularization; Model selection; Binary classification; Physics and Astronomy;

    Sammanfattning : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. LÄS MER

  5. 14. Investigating Machine Learning for verification of AMBA APB protocol.

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Abhiram Srisai Kishore; Mohammed Wasim; [2022]
    Nyckelord :Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

    Sammanfattning : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. LÄS MER

  7. 15. Use of Digital Image Correlation for monitoring of concrete buttress dam failure model tests

    Master-uppsats, KTH/Betongbyggnad

    Författare :Jarl Jensen; Markus Leijström; [2022]
    Nyckelord :;

    Sammanfattning : The monitoring of dam structures is of great importance for the safety of the dam.A dam failure can cause disastrous consequences for people and infrastructure downstream.Dams are monitored by periodic inspections and monitoring systems. LÄS MER