Sökning: "Attention LSTM"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden Attention LSTM.

  1. 1. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Rafi Khaliqi; Cozma Iulian; [2023]
    Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

    Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER

  3. 2. Temporal Localization of Representations in Recurrent Neural Networks

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

    Författare :Asadullah Najam; [2023]
    Nyckelord :Recurrent Neural Networks RNNs ; Deep Learning; Time Series Prediction; Exploding Values; Gradient Decay; Long Short-Term Memory LSTMs ; Gated Recurrent Units GRUs ; Attention Mechanism; Moving Representations; Localizing Representations;

    Sammanfattning : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. LÄS MER

  4. 3. Evaluating machine learning models for time series forecasting in smart buildings

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Sarugan Balachandran; Diego Perez Legrand; [2023]
    Nyckelord :Machine learning; supervised learning; time series forecasting; neural networks; LSTM; En- semble LSTM; AT-LSTM; ARIMA; XGBoost; Maskininlärning; övervakad inlärning; tidsserie-prognostisering; neurala nätverk; LSTM; En- semble LSTM; AT-LSTM; ARIMA; XGBoost;

    Sammanfattning : Temperature regulation in buildings can be tricky and expensive. A common problem when heating buildings is that an unnecessary amount of energy is supplied. This waste of energy is often caused by a faulty regulation system. LÄS MER

  5. 4. Prediction and Analysis of 5G beyond Radio Access Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Gaurav Singh; Shreyansh Singh; [2023]
    Nyckelord :- LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Sammanfattning : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. LÄS MER

  7. 5. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices

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

    Författare :Matteo Santoro; [2023]
    Nyckelord :Neural Networks; Igbt; Prognostics; Age Monitoring; Neurala Nätverk; Igbt; Prognostik; Övervakning av Ålder;

    Sammanfattning : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. LÄS MER