Sökning: "Bi-LSTM"

Visar resultat 1 - 5 av 10 uppsatser innehållade ordet Bi-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. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Nicklas Branding; [2022]
    Nyckelord :Machine learning; deep learning; covid-19; public health science; number of infection; regression; long short term memory; gated recurrent unit; support vector regressor; long short term memory-convolutional neural network; bidirectional-long short term memory;

    Sammanfattning : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. LÄS MER

  4. 3. Machine Learning for Radar in Health Applications : Using machine learning with multiple radars to enhance fall detection

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Kristoffer Raskov; Oliver Christiansson; [2022]
    Nyckelord :Machine learning; RNN; Bi-LSTM; radar; sensor fusion; HAR; fall detection; healthcare monitoring; Maskininlärning; RNN; Bi-LSTM; radar; sensor fusion; HAR; falldetektering; hälsoövervakning;

    Sammanfattning : Two mm-wave frequency modulated continuous wave (FMCW) radars were combined with a recurrent neural network (RNN) to perform fall detection. The purpose was to find methods to implement a multi-radar setup for healthcare monitoring and to study the resulting models’ resilience to interference and other obstacles, such as re-arranging the radars in the room. LÄS MER

  5. 4. Estimating the Values of Missing Data in Railway Networks Using their Spatial Correlation

    Master-uppsats, KTH/Transportplanering

    Författare :Yuchuan JIn; [2021]
    Nyckelord :;

    Sammanfattning : In railway infrastructure management, it is always desired to know the conditionof each track segment, which is represented approximately by the conditionindicators. The values of condition indicators can be used as a decisioncriterion about whether the intervention on the track should be implementedin the future or when the intervention should be executed. LÄS MER

  7. 5. Behaviour modelling of vehicles at a Roundabout

    Master-uppsats, Högskolan i Halmstad/Halmstad Embedded and Intelligent Systems Research (EIS)

    Författare :Sharan Amar Magavi; [2020]
    Nyckelord :;

    Sammanfattning : This thesis concentrates on the motion prediction of the agents utilizing the behaviour model. In an autonomous environment, the agents need to beaware of other agents’ position and actions to minimize the use of emergency braking, thereby reducing collisions and damages. LÄS MER