Sökning: "research data sharing"

Visar resultat 1 - 5 av 310 avhandlingar innehållade orden research data sharing.

  1. 1. We exchange data all the time : A case study on data conceptualisation and data sharing by researchers in the context of open data policies

    Författare :Madeleine Dutoit; Katriina Byström; Jutta Haider; Carol Tenopir; Gustaf Nelhans; Norway Oslo Oslo Metropolitan University; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; research data; open science; data sharing; forskningsdata; öppen vetenskap; datadelning;

    Sammanfattning : .... LÄS MER

  3. 2. Secure and Privacy-Preserving Cloud-Assisted Computing

    Författare :Georgia Tsaloli; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; differential privacy; decentralization; verifiability; privacy-preservation; secure aggregation; secret sharing; cloud computing; privacy;

    Sammanfattning : Smart devices such as smartphones, wearables, and smart appliances collect significant amounts of data and transmit them over the network forming the Internet of Things (IoT). Many applications in our daily lives (e.g., health, smart grid, traffic monitoring) involve IoT devices that often have low computational capabilities. LÄS MER

  4. 3. Throughput and energy efficiency of lock-free data structures: Execution Models and Analyses

    Författare :Aras Atalar; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Modeling; Data Structures; Throughput; Concurrency; Energy Efficiency; Parallel Computing; Analysis; Performance; Lock-free;

    Sammanfattning : Concurrent data structures are key program components to harness the available parallelism in multi-core processors. Lock-free algorithmic implementations of concurrent data structures offer high scalability and possess desirable properties such as immunity to deadlocks, convoying and priority inversion. LÄS MER

  5. 4. Resource efficient automatic segmentation of medical images

    Författare :Minh Hoang Vu; Tommy Löfstedt; Tufve Nyholm; Anders Garpebring; Joakim Jonsson; Örjan Smedby; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; radiotherapy; medical imaging; deep learning; convolutional neural network; generative adversarial network; data augmentation; semantic segmentation; classification; activation map compression; radiofysik; radiation physics;

    Sammanfattning : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. LÄS MER

  7. 5. Heterogeneous Knowledge Sharing in eHealth : Modeling, Validation and Application

    Författare :Yang Guo; Guohua Bai; Eriksén Sara; Anita Mirijamdotter; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Knowledge sharing; eHealth; Activity Theory; Ontology; Decision making; Appointment scheduling;

    Sammanfattning : Knowledge sharing has become an important issue in the eHealth field for improving the quality of healthcare service. However, since eHealth subject is a multidisciplinary and cross-organizational area, knowledge sharing is a serious challenge when it comes to developing eHealth systems. LÄS MER