Sökning: "bidirectional-long short term memory"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden bidirectional-long short term memory.

1. 1. 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

3. 2. PREDICTING TRADED VOLUMES OF RENEWABLE ENERGY CERTIFICATES : A comparison of different time series forecasting methods

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Stina Magnusson; Ebba Sköld; [2022]
   Nyckelord :Sales Forecasting; SARIMA; Machine Learning Models; Neural Networks; Renewable Energy Certificates;

   Sammanfattning : Predicting sales is an important step for many business processes. Several forecasting methods have been applied to uncountable different problems, however with no present research found in the area of renewable energy certificates. LÄS MER

4. 3. Transfer learning applied to a deep learning system for cardiac abnormality classification in electrocardiograms

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

   Författare :Adrian Campoy Rodriguez; [2022]
   Nyckelord :Deep Learning; ECG; Wavelet Transform; Scattering Transform; Transfer Learning; Canonical Correlation Analysis; Djupinlärning; EKG; wavelettransform; scatteringtransform; överföringsinlärning; kanonisk korrelationsanalys;

   Sammanfattning : Cardiovascular diseases are a leading cause of death globally. Early diagnosis and treatment is of prime importance to prevent or mitigate health complications. Electrocardiogram (ECG) is a standard test modality used for early diagnosis of arrhythmias. The standard ECG uses 12 leads (i. LÄS MER

5. 4. 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

7. 5. Exploiting Leap Motion and Microsoft Kinect Sensors for Static and Dynamic Sign Gesture Recognition

   Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Sumit Rakesh; [2021]
   Nyckelord :;

   Sammanfattning : One of the primary ways of communication between humans is verbal communication. Among hearing-impaired persons, the traditional way of communication is through sign language. Sign gestures are the atomic actions used in sign language for non-verbal communication. LÄS MER