Sökning: "generative adversarial networks"

Visar resultat 1 - 5 av 18 avhandlingar innehållade orden generative adversarial networks.

  1. 1. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

    Författare :Chenjie Ge; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

    Sammanfattning : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. LÄS MER

  3. 2. Journeys in vector space: Using deep neural network representations to aid automotive software engineering

    Författare :Dhasarathy Parthasarathy; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automotive software design and testing; generative adversarial networks; latent space arithmetic; generative AI; explainable AI; large language models;

    Sammanfattning : Context - The automotive industry is in the midst of a transformation where software is becoming the primary tool for delivering value to customers. While this has vastly improved their product offerings, vehicle manufacturers are facing an urgent need to continuously develop, test, and deliver functionality, while maintaining high levels of quality. LÄS MER

  4. 3. Quantum state characterization with deep neural networks

    Författare :Shahnawaz Ahmed; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; classification; optical quantum states.; quantum state tomography; deep neural networks; bosonic states; quantum computing; reconstruction; quantum state discrimination;

    Sammanfattning : In this licentiate thesis, I explain some of the interdisciplinary topics connecting machine learning to quantum physics. The thesis is based on the two appended papers, where deep neural networks were used for the characterization of quantum systems. LÄS MER

  5. 4. Privacy preserving behaviour learning for the IoT ecosystem

    Författare :Sana Imtiaz; Vladimir Vlassov; Ramin Sadre; Sarunas Girdzijauskas; Omer Rana; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of things; big data; privacy; smart health care; machine learning; synthetic data generation; generative adversarial networks; time-series data; distributed machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : IoT has enabled the creation of a multitude of personal applications and services for a better understanding and improvement of urban environments and our personal lives. These services are driven by the continuous collection and analysis of sensitive and private user data to provide personalised experiences. LÄS MER

  7. 5. Deep learning based simulation for automotive software development

    Författare :Dhasarathy Parthasarathy; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; automotive software testing; latent space arithmetic; generative adversarial networks; explainable AI; sample selection bias;

    Sammanfattning : The automotive industry is in the midst of a new reality where software is increasingly becoming the primary tool for delivering value to customers. While this has vastly improved their product offerings, vehicle manufacturers are increasingly facing the need to continuously develop, test, and deliver functionality, while maintaining high levels of quality. LÄS MER