Blar i NTNU Open på forfatter "Oplenskedal, Magnus Karsten"

Viser treff 1-4 av 4

    • Ataraxis: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection 

      Oplenskedal, Magnus Karsten; Taherkordi, Amirhosein; Herrmann, Peter (Chapter, 2021)
      Accurately detecting the mobile contexts, in which public transport vehicles and their passengers operate, is key for future intelligent context-aware services in transportation systems. A prominent example is in-vehicle ...

    • Automated Product Localization through Mobile Data Analysis 

      Oplenskedal, Magnus Karsten; Taherkordi, Amirhosein; Herrmann, Peter (Journal article; Peer reviewed, 2019)
      Recent developments in the field of indoor RealTime Locating Systems (RTLS) using mobile devices stimulate decision support for users. For instance, smartphone-based navigation in shops can enable location-aware recommendations ...

    • DEEPMATCH2: A comprehensive deep learning-based approach for in-vehicle presence detection 

      Oplenskedal, Magnus Karsten; Herrmann, Peter; Taherkordi, Amir (Journal article; Peer reviewed, 2021)
      The accurate detection of the mobile context information of public transportation vehicles and their passengers is a key feature to realize intelligent transportation systems. A topical example is in-vehicle presence ...

    • Realizing Context-Aware Services through Intelligent Mobile Data Analysis 

      Oplenskedal, Magnus Karsten (Doctoral theses at NTNU;2022:234, Doctoral thesis, 2022)
      In recent years there has been a rapid development of mobile technologies, Internet of Things (IoT) and cellular network infrastructures. In combination with the fast evolution of data analysis, and particularly within ...