• PMData: a sports logging dataset 

      Thambawita, Vajira; Hicks, Steven; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein Arne; Johansen, Dag; Johansen, Håvard D.; Pettersen, Susann Dahl; Nordvang, Simon; Pedersen, Sigurd; Gjerdrum, Anders Tungeland; Grønli, Tor-Morten; Fredriksen, Per Morten; Eg, Ragnhild; Hansen, Kjeld S.; Fagernes, Siri; Claudi, Christine; Biørn-Hansen, Andreas; Dang Nguyen, Duc Tien; Kupka, Tomas; Hammer, Hugo Lewi; Jain, Ramesh; Riegler, Michael; Halvorsen, Pål (Chapter, 2020)
    • THE POTENTIAL OF USING NEURO-IS TO UNDERSTAND CONSUMER’S APPROACH-AVOIDANCE MOTIVATION IN ONLINE GROCERY RETAIL 

      Pawar, Sanchit; Fagerstrøm, Asle; Sigurdsson, Valdimar (Chapter, 2017)
      There is a request for research to examine consumer-purchasing behavior in online grocery retailing. By definition, behavior includes both cognition and observable responses. Neuro-Information Systems (NeuroIS) is a framework ...
    • Price consciousness as basis for Thai and Finnish young adults’ mobile shopping in retail stores 

      Eriksson, Niklas; Fagerstrøm, Asle; Khamtanet, Sirinna; Jitkuekul, Premruedee (Peer reviewed; Journal article, 2021)
      An increasing number of global consumers use their smartphones to shop for goods. This short paper aims to explore if a price-conscious decision-making style has a relationship with young adult consumers’ tendency to perform ...
    • Privacy reinforcement learning for faults detection in the smart grid 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Jolfaei, Alireza; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Recent anticipated advancements in ad hoc Wireless Mesh Networks (WMN) have made them strong natural candidates for Smart Grid’s Neighborhood Area Network (NAN) and the ongoing work on Advanced Metering Infrastructure ...
    • Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs 

      Belhadi, Asma; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      The Graph Query Language (GraphQL) is a powerful language for APIs manipulation in web services. It has been recently introduced as an alternative solution for addressing the limitations of RESTful APIs. This paper introduces ...
    • Recurrent neural network with density-based clustering for group pattern detection in energy systems 

      Djenouri, Youcef; Belhadi, Asma; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This research explores a new direction in power system technology and develops a new framework for pattern group discovery from large power system data. The efficient combination between the recurrent neural network and ...
    • Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper develops a new framework called MASAD (Multi-Agents System for Anomaly Detection), a hybrid combination of reinforcement learning, and a multi-agents system to identify abnormal behaviors of microservices in ...
    • The relative impact of QR codes on omnichannel customer experience and purchase intention 

      Kjeldsen, Kimberley; Nodeland, Margrete; Fagerstrøm, Asle; Pawar, Sanchit (Peer reviewed; Journal article, 2023)
      This study explores the relative impact of quick response (QR) codes in an omnichannel customer situation. A conjoint experiment was conducted where participants (n=53) assigned scores to stimuli cards according to experience ...
    • The relative importance of healthy food labels when shopping for groceries online 

      Fagerstrøm, Asle; Richartz, Philip; Pawar, Sanchit; Larsen, Nils Magne; Sigurdsson, Valdimar; Eriksson, Niklas (Peer reviewed; Journal article, 2019)
      Healthy food labels are a widely used form of intervention that nudges consumers towards healthier choices. This study investigates the relative importance of healthy food labels on the consumers’ online choice of grocery. ...
    • Resource and dependency based test case generation for RESTful Web services 

      Zhang, Man; Marculescu, Bogdan; Arcuri, Andrea (Peer reviewed; Journal article, 2021)
    • A Review of Formal and Informal Regulations in the Nordic Influencer Industry 

      Abidin, Crystal; Hansen, Kjeld S.; Mathilde, Hogsnes; Newlands, Gemma Elisabeth Marjorie; Nielsen, Mette Lykke; Nielsen, Louise Yung; Sihvonen, Tanja (Peer reviewed; Journal article, 2020)
      This article provides a systematic review of laws, guidelines, and best practices related to the Nordic influencer industry as of the year 2020. We highlight some nuanced differences or shortfalls across Denmark, Finland, ...
    • A Review of Formal and Informal Regulations in the Nordic Influencer Industry 

      Abidin, Crystal; Hansen, Kjeld S.; Mathilde, Hogsnes; Newlands, Gemma Elisabeth Marjorie; Nielsen, Mette Lykke; Nielsen, Louise Yung; Sihvonen, Tanja (Peer reviewed; Journal article, 2020)
      This article provides a systematic review of laws, guidelines, and best practices related to the Nordic influencer industry as of the year 2020. We highlight some nuanced differences or shortfalls across Denmark, Finland, ...
    • Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing 

      Dootio, Mazhar Ali; Lakhan, Abdullah; Sodhro, Ali Hassan; Grønli, Tor-Morten; Bawany, Narmeen Zakaria; Kumar, Samrat Schmiem (Peer reviewed; Journal article, 2021)
      These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare ...
    • Secure Collaborative Augmented Reality Framework for Biomedical Informatics 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Augmented reality is currently a great interest in biomedical health informatics. At the same time, several challenges have been appeared, in particular with the rapid progress of smart sensors technologies, and medical ...
    • Sensor data fusion for the industrial artificial intelligence of things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Houssein, Essam H.; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The emergence of smart sensors, artificial intelligence, and deep learning technologies yield artificial intelligence of things, also known as the AIoT. Sophisticated cooperation of these technologies is vital for the ...
    • A Simulation-based Performance Evaluation of Heuristics for Dew Computing 

      Hirsch, Matias; Mateos, Cristian; Zunino, Alejandro; Majchrzak, Tim A.; Grønli, Tor-Morten; Kaindl, Hermann (Peer reviewed; Journal article, 2021)
      The evolution of smartphones allows the continuous exploitation of computing resources. This increasingly applies also to distributed environments as exemplified through utilization of network router loads in edge computing ...
    • Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment 

      Erikson, Niklas; Fagerstrøm, Asle; Sigurdsson, Valdimar; Larsen, Nils Magne; Menon, Vishnu R.G. (Chapter, 2023)
      Shopping carts, in general, should be suitable for carrying smart technology in the retail store environment. Also, a smart shopping cart can present verbal motivating stimuli to increase healthier food purchases. A conjoint ...
    • Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment 

      Eriksson, Niklas; Fagerstrøm, Asle; Sigurdsson, Valdimar; Larsen, Nils Magne; Menon, Vishnu R.G. (Chapter, 2023)
    • Social CRM in SMEs: A Systematic Literature Review 

      Yasiukovich, Siarhei; Haddara, Moutaz (Peer reviewed; Journal article, 2021)
      mall and medium-sized enterprises (SMEs) are the prime movers of economic progress. The pace of digital disruption enables SMEs to innovate and flourish by strategically combining social media use with customer engagement ...
    • Social media: Where customers air their troubles—How to respond to them? 

      Sigurdsson, Valdimar; Larsen, Nils Magne; Gudmundsdottir, Hulda Karen; Alemu, Mohammed Hussen; Menon, R.G. Vishnu; Fagerstrøm, Asle (Peer reviewed; Journal article, 2021)