Essays about: "Deep learning"

Showing result 16 - 20 of 1917 essays containing the words Deep learning.

  1. 16. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    University essay from Linköpings universitet/Datorseende

    Author : Erica Ingerstad; Liv Kåreborn; [2024]
    Keywords : NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Abstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE

  3. 17. Classifying femur fractures using federated learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hong Zhang; [2024]
    Keywords : Atypical femur fracture; Federated Learning; Neural Network; Classification;

    Abstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE

  4. 18. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Jonna Matthiesen; [2023-10-24]
    Keywords : Compression; Deep Learning; DNN; Hyperparameters; Optimization; Pruning; Hyperparameter Optimisation; Hyperparameter Tuning;

    Abstract : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. READ MORE

  5. 19. Machine learning for molecular property prediction and drug safety

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Kinga Jenei; [2023-10-23]
    Keywords : Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Abstract : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. READ MORE

  6. 20. Improving echocardiogram view classification using diffusion models

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Luis Arevalo; Anouka Ranby; [2023-10-23]
    Keywords : Computer; science; computer science; engineering; project; artificial intelligence; machine learning; deep neural networks; diffusion models; synthetic data; echocardiogram classification;

    Abstract : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. READ MORE