• Big Data Analytics: Challenges and obstacles in deployments 

      Tamang, Isha (Master thesis, 2020)
      Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to its potential to improve business efficiency and productivity in a firm. Despite the opportunities and strategic business ...
    • Big Data and Business Analytics Ecosystems: Paving the way towards digital transformation and sustainable societies 

      Pappas, Ilias; Mikalef, Patrick; Giannakos, Michail; Krogstie, John; Lekakos, George (Journal article, 2018)
      The digitalization process and its outcomes in the 21st century accelerate transformation and the creation of sustainable societies. Our decisions, actions and even existence in the digital world generate data, which offer ...
    • Big data and business analytics: A research agenda for realizing business value 

      Mikalef, Patrick; Pappas, Ilias; Krogstie, John; Pavlou, Paul (Journal article; Peer reviewed, 2019)
    • Big Data and Context–Aware Computing Applications for Smart Sustainable Cities of the Future 

      Bibri, Simon Elias; Krogstie, John (Journal article; Peer reviewed, 2017)
      Information processing is increasingly embedded in the systems and processes of the contemporary city to enhance its operations, functions, and designs. This has been fueled by the new digital transition in ICT enabled by ...
    • Big Data Driven Multi-Tier Architecture for Electric Mobility as a Service in Smart Cities: A Design Science Approach 

      Bokolo, Anthony Junior; Petersen, Sobah Abbas; Ahlers, Dirk; Krogstie, John (Peer reviewed; Journal article, 2020)
      Electric mobility as a service (eMaaS) is suggested as a possible solution to ease transportation and lessen environmental issues by providing a collaborative transport sharing infrastructure that is based on electric ...
    • Big data driven multi-tier architecture for electric mobility as a service in smart cities: A design science approach 

      Bokolo, Anthony Junior; Petersen, Sobah Abbas; Ahlers, Dirk; Krogstie, John (Peer reviewed; Journal article, 2020)
      Purpose Electric mobility as a service (eMaaS) is suggested as a possible solution to ease transportation and lessen environmental issues by providing a collaborative transport sharing infrastructure that is based on ...
    • Big Data Enabled Organizational Transformation: The Effect of Inertia in Adoption and Diffusion 

      Mikalef, Patrick; van de wetering, Rogier; Krogstie, John (Journal article; Peer reviewed, 2018)
      Big data and analytics have been credited with being a revolution that will radically transform the way firms operate and conduct business. Nevertheless, the process of adopting and diffusing big data analytics, as well ...
    • Big Data Governance and Dynamic Capabilities: The Moderating effect of Environmental Uncertainty 

      Mikalef, Patrick; Krogstie, John (Chapter, 2018)
      With the rise of big data as a strategic tool in contemporary firms, researchers and practitioners have been exploring the ways in which such investments yield the maximum business value. Building on the growing importance ...
    • Big Data is Power: Business Value from a Process Oriented Analytics Capability 

      van de wetering, Rogier; Mikalef, Patrick; Krogstie, John (Journal article; Peer reviewed, 2019)
      Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its massive potential, the conditions and required complementary resources and capabilities through which firms can gain business ...
    • Big data workflows: Locality-aware orchestration using software containers 

      Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Journal article; Peer reviewed, 2021)
      The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ...
    • Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective 

      Bokolo, Anthony Junior; Petersen, Sobah Abbas; Ahlers, Dirk; Krogstie, John; Livik, Klaus (Journal article; Peer reviewed, 2019)
      The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with other consumers ...
    • Bike & Run 

      Eriksen, Jørgen; Arifagic, Elvis; Strømseth, Markus (Bachelor thesis, 2022)
      Bike & Run er en folkehelse stafett bestående av fire etapper; two løpsetapper og to sykkeletapper. Headit har deltatt de siste årene i stafetten og ønsket å få utviklet et system for sporing av deltakerne og fremvisning ...
    • Bilateral Weighted Regression Ranking Model with Spatial-Temporal Correlation Filter for Visual Tracking 

      Zhu, Hu; Peng, Hao; Xu, Guoxia; Deng, Lizhen; Cheng, Yueying; Song, Aiguo (Peer reviewed; Journal article, 2021)
      Many discriminative correlation filter (DCF)-based methods have successfully leveraged the guidance for solving two problems (i.e., the boundary effect and temporal filtering degradation) as a model prior to visual tracking. ...
    • BilBooking CarAdmin 

      Ensrud, Marius; Gjerde, Ketil; Solberg, Yngve (Bachelor thesis, 2005)
      ETC CarAdmin er en biladministreringsløsning utviklet for å effektivisere og lette kostnadene ved den interne biladministrasjonen i kommuner og bedrifter. Det var her to hovedoppdrag vi fikk av oppdragsgiver. Det ene var ...
    • Billettsystem på Blockchain 

      Flatby, Andrine Celine; Gran, Ole Bjørn; Lillevik, Marius (Bachelor thesis, 2019)
      Innit AS har flere lisensierte applikasjoner for billettsalg for ishockey lag i den norske hockey ligaen. De forbedrer kontinuerlig sine billettsystemer, og de vil se om de kan forbedre sin eksisterende løsning ved hjelp ...
    • Bin packing problem with order constraints. 

      Lundanes, Petter Olsen (Master thesis, 2014)
      This paper presents an algorithm to solve a variant of the bin packing problem with additional constraints on the order of items. The performance of this algorithm is tested, both for optimal solutions and approximations ...
    • Bio-Inspired Multimodal Imaging in Reduced Visibility 

      Lapray, Pierre-Jean; Thomas, Jean Baptiste; Farup, Ivar (Journal article; Peer reviewed, 2022)
    • Bio-inspired Reverse Engineering of Regulatory Networks: A Revised Approach 

      Leon Pozo, Pedro (Master thesis, 2011)
      This work appears to complement an existingproject, Bio-inpired reverse engineering of regula-tory networks [STH09], proposes a new algorithminspired in the artificial development technique per-forming reverse engineering ...
    • Bio-plausible Neural Networks - A Comparative Study of the Computational Demand and Capability to Infer Missing Values of Predictive Coding Networks 

      Salomonsen, Simen (Master thesis, 2023)
      Kunstige nevrale nettverk har hatt stor suksess siden de fikk sitt gjennombrudd ved hjelp av backpropagation, og har ført til innovasjon innen bildeklassifisering, regresjon, generering og mange flere områder. Et problem ...
    • BioCreative III interactive task: an overview 

      Arighi, Cecilia N; Roberts, Phoebe M; Shashank, Agarwal; Bhattacharya, Sanmitra; Gianni, Cesareni; Chatr-aryamontri, Andrew; Clematide, Simon; Gaudet, Pascale; Giglio, Michelle Gwinn; Harrow, Ian; Huala, Eva; Krallinger, Martin; Leser, Ulf; Li, Donghui; Liu, Feifan; Lu, Zhlyong; Maltais, Lois J; Okazaki, Naoaki; Perfetto, Livia; Rinaldi, Fabio; Sætre, Rune; Salgado, David; Srinivasan, Padmini; Thomas, Philippe E; Toldo, Luca; Hirschman, Lynette; Wu, Cathy H. (Journal article; Peer reviewed, 2011)
      Background: The BioCreative challenge evaluation is a community-wide effort for evaluating text mining and information extraction systems applied to the biological domain. The biocurator community, as an active user of ...