Essays about: "faltningsnätverk"

Showing result 41 - 45 of 77 essays containing the word faltningsnätverk.

  1. 41. Breast Cancer Risk Localization in Mammography Images using Deep Learning

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

    Author : Beata Rystedt; [2020]
    Keywords : Deep learning; breast cancer risk; mammograms; convolutional networks; localization.; Djupinlärning; bröstcancerrisk; mammogram; faltningsnätverk; lokalisering.;

    Abstract : Breast cancer is the most common form of cancer among women, with around 9000 new diagnoses in Sweden yearly. Detecting and localizing risk of breast cancer could give the opportunity for individualized examination programs and preventative measures if necessary, and potentially be lifesaving. READ MORE

  2. 42. Representation Learning for Modulation Recognition of LPI Radar Signals Through Clustering

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

    Author : Mila Grancharova; [2020]
    Keywords : Clustering; Representation Learning; Semi-Supervised Learning; Low Probability of Intercept Radar; Automatic Modulation Recognition; Klustring; semiövervakad inlärning; representationsinlärning; Low Probability of Intercept radar; automatiserad modulationsigenkänning;

    Abstract : Today, there is a demand for reliable ways to perform automatic modulation recognition of Low Probability of Intercept (LPI) radar signals, not least in the defense industry. This study explores the possibility of performing automatic modulation recognition on these signals through clustering and more specifically how to learn representations of input signals for this task. READ MORE

  3. 43. Automatic Generation of Patient-specific Gamma Knife Treatment Plans for Vestibular Schwannoma Patients

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

    Author : Simon Löw; [2020]
    Keywords : ;

    Abstract : In this thesis a new fully automatic process for radiotherapy treatment planning with the Leksell Gamma Knife is implemented and evaluated: First, a machine learning algorithm is trained to predict the desired dose distribution, then a convex optimization problem is solved to find the optimal Gamma Knife configuration using the prediction as the optimization objective. The method is evaluated using Bayesian linear regression, Gaussian processes and convolutional neural networks for the prediction. READ MORE

  4. 44. Prediction of compound solubility in Dimethyl sulfoxide using machinelearning methods including graph neural networks

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

    Author : Viktor Norrsjö; [2020]
    Keywords : ;

    Abstract : In drug discovery, compounds that are insoluble in Dimethyl sulfoxide (DMSO) are not wanted and can be disregarded. To avoid wasting time and resources pharmaceutical companies are trying to predict compound solubility before selecting compounds for further research. READ MORE

  5. 45. Identification of machine-generated reviews : 1D CNN applied on the GPT-2 neural language model

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

    Author : Staffan Al-Kadhimi; Paul Löwenström; [2020]
    Keywords : ;

    Abstract : With recent advances in machine learning, computers are able to create more convincing text, creating a concern for an increase in fake information on the internet. At the same time, researchers are creating tools for detecting computer-generated text. READ MORE