Sökning: "encoder"

Visar resultat 6 - 10 av 264 uppsatser innehållade ordet encoder.

  1. 6. Demand Forecasting of Outbound Logistics Using Neural Networks

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Enobong Paul Otuodung; Gulten Gorhan; [2023]
    Nyckelord :Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

    Sammanfattning : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. LÄS MER

  3. 7. Fine-tuning a BERT-based NER Model for Positive Energy Districts

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Karen Ortega; Fei Sun; [2023]
    Nyckelord :Positive Energy District PED ; Named Entity Recognition NER ; Bidirectional Encoder Representations from Transformers BERT ; Pipeline; Fine-tune;

    Sammanfattning : This research presents an innovative approach to extracting information from Positive Energy Districts (PEDs), urban areas generating surplus energy. PEDs are integral to the European Commission's SET Plan, tackling housing challenges arising from population growth. LÄS MER

  4. 8. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

    Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Wenhan Zhou; [2023]
    Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

    Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

  5. 9. Modeling Credit Default Swap Spreads with Transformers : A Thesis in collaboration with Handelsbanken

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan Luhr; [2023]
    Nyckelord :Machine Learning; Transformer; Finance; Credit Default Swap; Credit Valuation Adjustment; Time Series Data; Maskininlärning; Transformer; Finance; Kreditswapp; Kredit Värderings Justering; Tidsserie data;

    Sammanfattning : In the aftermath of the credit crisis in 2007, the importance of Credit Valuation Adjustment (CVA) rose in the Over The Counter (OTC) derivative pricing process. One important part of the pricing process is to determine Probability of Defaults (PDs) of the counterparty in question. LÄS MER

  7. 10. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tim Jonsson; [2023]
    Nyckelord :;

    Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER