• An outlier detection method to improve gathered datasets for network behavior analysis in IoT 

      Shahraki, Amin; Haugen, Øystein (Journal article; Peer reviewed, 2019)
      Outlier detection is a subfield of data mining to determine data points that notably deviate from the rest of a dataset. Their deviation can indicate that these data points are generated by errors and should therefore be ...
    • The Current Status of Business Intelligence: A Systematic Literature Review 

      Fatima, Aqsa; Linnes, Cathrine (Journal article; Peer reviewed, 2019)
      Business intelligence has gained much attention the last few years and corporations has invested a lot of money in its operation to better prepare for the future. Studies show improvements in organizations performance both ...
    • Governance, risk, and compliance in cloud scenarios 

      Brandis, Knud; Dzombeta, Srdan; Colomo-Palacios, Ricardo; Stantchev, Vladimir (Journal article; Peer reviewed, 2019-01-17)
      Cloud computing is changing the way organizations approach technology and its infrastructure. However, in spite of its attractiveness, cloud computing can be seen as a threat in terms of compliance. Given its intrinsic ...
    • T4SS Effector Protein Prediction with Deep Learning 

      Acici, Koray; Asuroglu, Tunc; Erdas, Cagatay Berke; Ogul, Hasan (Journal article; Peer reviewed, 2019-03-25)
      Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells. The correct prediction of type IV protein effectors secreted by T4SS is ...
    • Evaluating Population Based Training on Small Datasets 

      Tennebø, Frode; Geitle, Marius (Journal article; Peer reviewed, 2019-11-14)
      Recently, there has been an increased interest in using artificial neural networks in the severely resource-constrained devices found in Internet-of-Things networks, in order to perform actions learned from the raw sensor ...
    • Participatory design as an approach for work-integrated learning of digital competences: putting theory into practice 

      Carcani, Klaudia; Gjellebæk, Camilla; Stigberg, Susanne Koch (Journal article; Peer reviewed, 2019-11-18)
      Technology is radically changing the healthcare sector. Introduction of technology demands new ways of providing healthcare services and the professionals will need new knowledge and competence to be able to do their job ...
    • Objective Pain Assessment Using Vital Signs 

      Erdogan, Burak; Ogul, Hasan (Peer reviewed; Journal article, 2020)
      Pain is considered as an emotional experience and unrestful feeling associated with tissue damage. The feeling of pain occurs when the interpretation starts in brain; as a signal is sent through nerve fiber to the brain. ...