Search for dissertations about: "Computer Network"

Showing result 1 - 5 of 921 swedish dissertations containing the words Computer Network.

  2. 1. Advancing Automation in Digital Forensic Investigations

    Author : Irvin Homem; Panagiotis Papapetrou; Fredrik Blix; Indre Žliobaitė; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digital Forensics; Machine Learning; Computer Forensics; Network Forensics; Predictive Modelling; Distributed Systems; Mobile Devices; Mobile Forensics; Memory Forensics; Android; Semantic Web; Hypervisors; Virtualization; Remote Acquisition; Evidence Analysis; Correlation; P2P; Bittorrent; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Digital Forensics is used to aid traditional preventive security mechanisms when they fail to curtail sophisticated and stealthy cybercrime events. The Digital Forensic Investigation process is largely manual in nature, or at best quasi-automated, requiring a highly skilled labour force and involving a sizeable time investment. READ MORE

  4. 2. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning

    Author : Muhaddisa Barat Ali; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; glioma subtype classification; convolutional autoencoder; convolutional NN; multi-stream U-Net.; CycleGAN; 1p 19q codeletion; federated learning; IDH mutation; generative adversarial network; Deep learning;

    Abstract : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. READ MORE

  5. 3. Learning computer systems in a distributed project course : The what, why, how and where

    Author : Anders Berglund; Arnold Pears; Shirley Booth; Raymond Lister; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; computer science education; computer science education research; computer networking; computer systems; phenomenography; activity theory; learning; higher education; team collaboration; remote collaboration; Computer science; Datavetenskap; Subject didactics; Ämnesdidaktik; Computer Systems; Datorteknik;

    Abstract : Senior university students taking an internationally distributed project course in computer systems find themselves in a complex learning situation. To understand how they experience computer systems and act in their learning situation, the what, the why, the how and the where of their learning have been studied from the students’ perspective. READ MORE

  6. 4. Data and Time Efficient Historical Document Analysis

    Author : Florian Westphal; Håkan Grahn; Niklas Lavesson; Angelo Marcelli; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer Systems Engineering; Datorsystemteknik;

    Abstract : Over the last decades companies and government institutions have gathered vast collections of images of historical handwritten documents. In order to make these collections truly useful to the broader public, images suffering from degradations, such as faded ink, bleed through or stains, need to be made readable and the collections as a whole need to be made searchable. READ MORE

  7. 5. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations

    Author : Roc Ramon Currius; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neural Networks; Real-time rendering; Lightfields; Realistic Rendering; Global Illumination; Hair Rendering; Machine Learning;

    Abstract : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. READ MORE