• Adaptive Multipath Scheduling for 5G Networks and Beyond: A Learning Perspective 

      Wu, Hongjia (OsloMet Avhandling 2022;Nr 6, Doctoral thesis; Peer reviewed, 2022)
      With the ready availability of multiple radio interfaces in today's smart devices, there is a growing number of hosts that can support data communication over two or more interfaces. Nonetheless, the classical transport ...
    • Beyond the Black Box: Transparent Machine Learning Systems for Medical Applications 

      Storås, Andrea Theomine Marheim (OsloMet Avhandling;2024 24/25, Doctoral thesis, 2024)
      Artificial intelligence and machine learning (ML) have become a part of our everyday lives. The advancement of such technology affects the society by assisting us in several tasks. Healthcare and medicine are some domains ...
    • DeepSynthBody: the beginning of the end for data deficiency in medicine 

      Thambawita, Vajira Lasantha Bandara (OsloMet Avhandling 2021;Nr. 45, Doctoral thesis; Peer reviewed, 2021)
      Recent advancements in technology have made arti ficial intelligence (AI) a popular tool in the medical domain, especially machine learning (ML) methods, which is a subset of AI. In this context, a goal is to research and ...
    • Exploring Tangible User Interface for homedwelling older people: Technology acceptance, social interaction and quality of life 

      Bong, Way Kiat (OsloMet Avhandling 2020;Nr 13, Doctoral thesis; Peer reviewed, 2020)
      Background: Quality of life is an important area of concern reflecting the health status and well-being of older people. It is a multidimensional concept, and older people often value social relationships as important ...
    • Resilient Networks for Critical Services 

      Evang, Jan Marius (OsloMet Avhandling;, Doctoral thesis, 2023)
      Network services play a pivotal role in today’s society, serving the needs of businesses, governments and for individuals in their daily life. While we often take the seamless functionality of the Internet for granted, its ...
    • Vulnerability Assessment of Existing Buildings and Structures 

      Shabani, Amirhosein (OsloMet Avhandling;, Doctoral thesis, 2023)
      Vulnerability assessment of cultural heritage assets and unreinforced masonry buildings is important for providing a resilient framework and sustainable reconstruction proposals. Owing to the vulnerability of unreinforced ...