Sökning: "neurala faltningsnätverk"

Visar resultat 1 - 5 av 29 uppsatser innehållade orden neurala faltningsnätverk.

1. 1. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

   Författare :Wenhan Zhou; [2023]
   Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

   Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

3. 2. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection

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

   Författare :Erik Zetterström; [2023]
   Nyckelord :Neural networks; Deep learning; Convolutional neural networks; Transfer learning; Domain adaptation; Unsupervised training; Adversarial training; Keypoint detection; Regression; Neurala nätverk; Djupinlärning; Faltningsnätverk; Överförningsinlärning; Domänadaptering; Oövervakad inlärning; Motstående träning; Nyckelpunktsdetektion; Regression;

   Sammanfattning : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. LÄS MER

4. 3. Utveckling av intelligens för en robotplattform AIDA

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Danny Tran; Bo Valdemar Norgren; Hugo Winbladh; Emily Tsai; Jim Magnusson; Ebba Kallström; Fredrik Tegnell; [2022]
   Nyckelord :AI; Artificial intelligence; Machine learning; Object recognition; Object tracking; Speech recognition; Convolutional neural networks; Deep learning; Hyperparameters; Inverse kinematics; Image classification; Optimization; AI; Artificiell intelligens; Maskininlärning; Objektigenkänning; Objektspårning; Taligenkänning; Neurala faltningsnätverk; Djupinlärning; Hyperparametrar; Inverskinematik; Bildklassificering; Optimering;

   Sammanfattning : Rapporten beskriver utvecklingsarbetet och resultatet från utvecklingen av en robotplattform vid namn AIDA (AI Design Assistant), som utvecklades åt Institutionen för datavetenskap vid Linköpings universitet. Plattformen består av en robotarm som utgörs av sex stycken servomotorer, som är anslutna till en enkortsdator. LÄS MER

5. 4. A study of the biological sex in the classification of Alzheimer’s disease using a convolutional neural network

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Emilia Rieschel; Emm Nilsson; [2022]
   Nyckelord :;

   Sammanfattning : This report investigates whether Alzheimer’s MRI scans could be classified more accurately using deep learning if the biological sex was considered. The data used in the study were female and male Alzheimer’s Disease (AD) and Cognitive Normal (CN) MRI scans. The data was divided into a training and test set. LÄS MER

7. 5. Identifying Melanoma Using Transfer Learning and Convolutional Neural Networks : An investigation of skin disease pre-training

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Albin Wikström Kempe; Elin Inoue; [2022]
   Nyckelord :;

   Sammanfattning : Melanoma, the deadliest form of skin cancer, has become an increasingly common and pressing health issue. Early detection and treatment can be life-saving, but also poses a challenge. A possible solution presents itself in Convolutional Neural Networks (CNNs). LÄS MER