Essays about: "generative adversarial nets"

Found 4 essays containing the words generative adversarial nets.

  1. 1. Domain Adaptation for Networking

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Adam Derin Orucu; [2022]
    Keywords : ;

    Abstract : This thesis explores domain adaptation methods to improve machine learning models in a networking environment where the domain of the data changes after initial data gathering. The applied methods make use of Generative Adversarial Nets and aim to create a model to predict service performance on a client machine using resource utilisation data collected from a server cluster that provides the service. READ MORE

  2. 2. Image inpainting methods for elimination of non-anatomical objects in medical images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Andrea Lorenzo Polo; [2021]
    Keywords : Medical Imaging; Tumor Ablation; Inpainting; U-Net; Convolutional Neural Network;

    Abstract : This project studies the removal of non-anatomical objects from medical images. During tumor ablation procedures, the ablation probes appear in the image, hindering the performance of segmentation, registration, and dose computation algorithms. These algorithms can also be affected by artifacts and noise generated by body implants. READ MORE

  3. 3. Generative Adversarial Networks and Natural Language Processing for Macroeconomic Forecasting

    University essay from KTH/Matematisk statistik

    Author : David Evholt; Oscar Larsson; [2020]
    Keywords : Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting; Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting;

    Abstract : Macroeconomic forecasting is a classic problem, today most often modeled using time series analysis. Few attempts have been made using machine learning methods, and even fewer incorporating unconventional data, such as that from social media. In this thesis, a Generative Adversarial Network (GAN) is used to predict U.S. READ MORE

  4. 4. Machine Learning for Inferring Sidescan Images from Bathymetry and AUV Pose

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zitao Zhang; [2019]
    Keywords : ;

    Abstract : Underwater navigation has been a big challenge for autonomous underwater vehicles (AUVs) for a long time. It is highly dependent on acoustic methods called SONAR. There are two kinds of sonar sensors which are commonly used, the multibeam sonar and the sidescan sonar. Both of them have some advantages and limitations. READ MORE