Sökning: "neural areas"

Visar resultat 6 - 10 av 252 uppsatser innehållade orden neural areas.

1. 6. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

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

   Författare :Niklas Barth; [2023]
   Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER

3. 7. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Jessica Ström; Erik Backhans; [2023]
   Nyckelord :Artificial Intelligence AI ; Machine Vision; Outlier Detection; Autoencoders; Neural Networks; Region Of Interest ROI ;

   Sammanfattning : Volvo Construction Equipment (CE) are facing the challenge of vibrations in their wheel loaders that generate disruptive noise and impact the driver's experience. These vibrations have been linked to the contact surface between the crown wheel and pinion gear in the vehicles drive-axles. LÄS MER

4. 8. Using Social Media and Personality Predictions to Anticipate Startup Success

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Daniel Stenson; [2023]
   Nyckelord :Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

   Sammanfattning : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. LÄS MER

5. 9. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

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

   Författare :Mikaela Gärde; [2023]
   Nyckelord :video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

   Sammanfattning : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. LÄS MER

7. 10. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Dorsa Mohammad; [2023]
   Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

   Sammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER