Search for dissertations about: "digital image"

Showing result 1 - 5 of 2977 swedish dissertations containing the words digital image.

2. 1. Digital innovation management : investigating digital trace data in online communities

   Author : Vasili Mankevich; Jonny Holmström; Ola Henfridsson; Jan Recker; Umeå universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Digital innovation; digital trace data; online communities; computational methods; recombination; computer and systems sciences; data- och systemvetenskap;

   Abstract : Firms and individuals are interacting online on an unprecedented scale. These interactions may lead to new digital products, services and practices, all of which are manifestations of digital innovation. This process relies on records users leave on various digital platforms which carry information about their activities – digital trace data. READ MORE

4. 2. Archaeological Challenges, Digital Possibilities : Digital Knowledge Development and Communication in Contract Archaeology

   Author : Fredrik Gunnarsson; Bodil Petersson; Nicolo Dell'Unto; Linnéuniversitetet; []
   Keywords : HUMANIORA; HUMANITIES; Archaeology; Digital Archaeology; Digital Knowledge Development; Digital Communication; Digital Documentation; Sandby borg; Arkeologi; Digital arkeologi; Digital kunskapsutveckling; Digital kommunikation; Digital dokumentation; Sandby borg; Archaeology; Arkeologi;

   Abstract : This research concerns the digitalisation of archaeology, with a focus on Swedish contract archaeology. The aim is to understand how the archaeological discipline relates to the change that digitalisation brings and human involvement in these processes. READ MORE

5. 3. Digital Intimacies : Doing Digital Media Differently

   Author : Helga Sadowski; Cecilia Åsberg; Jenny Sundén; Linköpings universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; HUMANIORA; HUMANITIES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Digital media; intimacy; cultural studies; media studies; affect; feminism; gender; coding; online harassment; ASMR; internet politics; digital intimacy; Digitala medier; intimitet; kulturstudier; mediestudier; affekt; feminism; genus; programmering; online trakasserier; ASMR; internetpolitik; digital intimitet;

   Abstract : Digital media have become an integral part of many people’s everyday lives and constitute an intimate presence therein. Utilizing the concept of digital intimacy to focus on these recent developments, this doctoral dissertation takes the perspectives of feminist cultural studies and affect theory to analyze how digital media are becoming more intimate and how in turn intimacy is remediated within digital cultures. READ MORE

6. 4. Digital Geometry and Khalimsky Spaces

   Author : Erik Melin; Christer Kiselman; Gunilla Borgefors; Mikael Passare; Jean Serra; Uppsala universitet; []
   Keywords : Applied mathematics; Khalimsky topology; digital geometry; digital topology; Alexandrov space; digital surface; digital curve; digital manifold; continuous extension; smallest-neighborhood space; image processing; Tillämpad matematik;

   Abstract : Digital geometry is the geometry of digital images. Compared to Euclid’s geometry, which has been studied for more than two thousand years, this field is very young.Efim Khalimsky’s topology on the integers, invented in the 1970s, is a digital counterpart of the Euclidean topology on the real line. READ MORE

7. 5. Representation Learning and Information Fusion : Applications in Biomedical Image Processing

   Author : Elisabeth Wetzer; Nataša Sladoje; Fred Hamprecht; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Texture Descriptors; Equivariant Neural Networks; Contrastive Learning; Image Classification; Image Registration; Image Retrieval; Digital Pathology; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. READ MORE