• 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 ...
    • A Systematic Literature Review Looking at Digitizing Container Harbors 

      Pettersen, Erlend; Linnes, Cathrine (Peer reviewed; Journal article, 2020)
      This article presents a systematic literature on the use of information technology within the field of maritime shipping. First, the review scope, the search terms, the data sources, the search process, the inclusion and ...
    • Agile Transition and Adoption Frameworks, Issues and Factors: A Systematic Mapping 

      Jovanović, Miloš; Mesquida, Antoni-Lluís; Mas, Antonia; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2020)
      In order to adopt specific agile methods and to accommodate lean principles, many organizations need to tailor their processes. Different frameworks supporting and guiding the agile transition and adoption process exist ...
    • Embracing the Challenges and Opportunities of Change Through Electronic Collaboration 

      Linnes, Cathrine (Peer reviewed; Journal article, 2020)
      Globalization is a key reason why an organization outsources its activities or creates virtual teams to remain competitive in today’s international market. Organizations are utilizing new technologies to become more efficient ...
    • Clustering objectives in wireless sensor networks: A survey and research direction analysis 

      Shahraki, Amin; Taherkordi, Amirhosein; Haugen, Øystein; Eliassen, Frank (Peer reviewed; Journal article, 2020)
      Wireless Sensor Networks (WSNs) typically include thousands of resource-constrained sensors to monitor their surroundings, collect data, and transfer it to remote servers for further processing. Although WSNs are considered ...
    • A critical review on Blockchain assessment initiatives: a technology evolution viewpoint 

      Colomo-Palacios, Ricardo; Sánchez-Gordón, Mary; Arias-Aranda, Daniel (Peer reviewed; Journal article, 2020)
      Blockchain is considered as a major emerging technology that is having an everincreasing spread both in industrial and academic contexts. As the usage of blockchain keeps increasing, a fourth generation of blockchain ...
    • Pictorize: Transforming image region luminosity to sound brightness for monitoring location 

      Marentakis, Georgios (Chapter; Peer reviewed, 2020)
      A novel algorithm for transforming static and moving images into sound is presented. The algorithm turns image areas into a sound whose brightness depends on image area luminocity. Subjective evaluation investigated the ...
    • 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. ...
    • Governing IT in HEIs: Systematic Mapping Review. 

      Kajo Mece, Elinda; Sheme, Enida; Trandafili, Evis; Juiz, Carlos; Gómez, Beatriz; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2020)
      Background: Higher Education Institutions (HEIs) are aware of the immense importance of achieving their strategic objectives to increase their impact on the society and to be competitive. As a board responsibility, information ...
    • Predicting infections using computational intelligence – A systematic review 

      Baldominos, Alejandro; Puello, Adrián; Ogul, Hasan; Aşuroğlu, Tunç; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2020)
      Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care ...
    • A comparative node evaluation model for highly heterogeneous massive‐scale Internet of Things‐Mist networks 

      Shahraki, Amin; Geitle, Marius; Haugen, Øystein (Peer reviewed; Journal article, 2020-03-09)
      Internet of Things (IoT) is a new technology that is driving the connection of billions of devices around the world. Because these devices are often resource‐constrained and very heterogeneous, this presents unique challenges. ...
    • Convergence of Gamification and Machine Learning: A Systematic Literature Review 

      Khakpour, Alireza; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2020-07-12)
      Recent developments in human–computer interaction technologies raised the attention towards gamification techniques, that can be defined as using game elements in a non-gaming context. Furthermore, advancement in machine ...