Essays about: "bidirectional LSTM"

Showing result 1 - 5 of 23 essays containing the words bidirectional LSTM.

  1. 1. Detecting flight patterns using deep learning

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Victor Carlsson; [2023]
    Keywords : machine learning; AI; pattern detection; CNN; LSTM; transfer learning; ADS-B; flight pattern; trajectory classification;

    Abstract : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. READ MORE

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

    University essay from Uppsala universitet/Avdelningen för systemteknik

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

    Abstract : 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. READ MORE

  4. 3. Classifying personal data on contextual information

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Carl Dath; [2023]
    Keywords : Natural Language Processing; Machine Learning; Word2Vec; GloVe; BERT; Personal Data classification; Språkteknologi; Maskininlärning; Personlig Data Klassificering;

    Abstract : In this thesis, a novel approach to classifying personal data is tested. Previous personal data classification models read the personal data before classifying it. However, this thesis instead investigates an approach to classify personal data by looking at contextual information frequently available in data sets. READ MORE

  5. 4. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Nicklas Branding; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 5. Efficient Music Thumbnailing for Genre Classification

    University essay from KTH/Matematisk statistik

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

    Abstract : 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. READ MORE