Sökning: "Bidirectional recurrent neural network"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Bidirectional recurrent neural network.

1. 1. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Kevin Coleman; [2023]
   Nyckelord :Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

   Sammanfattning : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. 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. Efficient Music Thumbnailing for Genre Classification

   Master-uppsats, KTH/Matematisk statistik

   Författare :Adam Skärbo Jonsson; [2022]
   Nyckelord :Music thumbnailing; Music genre classification; Machine learning; Deep learning; Bidirectional recurrent neural network; RNN; Musikgenreklassificering; Maskininlärning; Djupinlärning; RNN;

   Sammanfattning : For music genre classification purposes, the importance of an intelligent and content-based selection of audio samples has been mostly overlooked. One common approach toward representative results is to select samples at predetermined locations. This is done to avoid analysis of the full audio during classification. LÄS MER

5. 4. Evaluation of the performance of machine learning techniques for email classification

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

   Författare :Isabella Tapper; [2022]
   Nyckelord :Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

   Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER

7. 5. 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