Sökning: "Ablation Study"

Visar resultat 1 - 5 av 63 uppsatser innehållade orden Ablation Study.

1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Falk DIppel; [2023-10-23]
   Nyckelord :Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

   Sammanfattning : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. LÄS MER

3. 2. Analyzing How Blended Emotions are Expressed using Machine Learning Methods

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

   Författare :Disen Ling; [2023]
   Nyckelord :Blended emotion; Supervised learning; Model generalization capability; Ablation study; Blandade känslor; Övervakad inlärning; Modellens generaliseringsförmåga; Ablationsstudie;

   Sammanfattning : Blended emotion is a classification of emotional experiences that involve the combination of multiple emotions. Research on the expression of blended emotions allows researchers to understand how different emotions interact and coexist in an individual’s emotional experience. LÄS MER

4. 3. Convolution-compacted visiontransformers forprediction of localwall heat flux atmultiple Prandtlnumbers in turbulentchannel flow

   Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Yuning Wang; [2023]
   Nyckelord :Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

   Sammanfattning : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical for a variety of engineering applications, including thermal management systems and energy-efficient designs. Traditional methods, which rely on expensive numerical simulations, are hampered by increasing complexity and extremly high computation cost. LÄS MER

5. 4. Visual Bird's-Eye View Object Detection for Autonomous Driving

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Erik Lidman; [2023]
   Nyckelord :computer vision; machine learning; neural networks; deep learning; autonomous driving; autonomous systems; datorseende; maskininlärning; neuronnät; djupinlärning; autonom körning; autonoma system;

   Sammanfattning : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. LÄS MER

7. 5. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

   Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

   Författare :Dimitrios Zarogiannis; Stelio Bompai; [2023]
   Nyckelord :Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

   Sammanfattning : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. LÄS MER