Blar i Publikasjoner fra CRIStin på tidsskrift "IEEE Access"

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    • Accumulation and Prioritization of Architectural Debt in Three Companies Migrating to Microservices 

      Soares de Toledo, Saulo; Martini, Antonio; Nguyen, Phu Hong; Sjøberg, Dag (Peer reviewed; Journal article, 2022)
      Many companies migrate to microservices because they help deliver value to customers quickly and continuously. However, like any architectural style, microservices are prone to architectural technical debt (ATD), which can ...

    • A data-driven approach for twitter hashtag recommendation 

      Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Cano, Alberto (Peer reviewed; Journal article, 2020)
      This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ...

    • A Data-Driven Approach for Twitter Hashtag Recommendation 

      Djenouri, Youcef; Asma, Belhadi; Chun-Wei Lin, Jerry; Alberto, Cano (Peer reviewed; Journal article, 2020)
      This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ...

    • Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions 

      Stadtmann, Florian; Rasheed, Adil; Kvamsdal, Trond; Johannessen, Kjetil Andre; San, Omer; Kölle, Konstanze; Tande, John Olav Giæver; Barstad, Idar; Benhamou, Alexis; Brathaug, Thomas; Christiansen, Tore; Firle, Anouk-Letizia; Fjeldly, Alexander; Frøyd, Lars; Gleim, Alexander; Høiberget, Alexander; Meissner, Catherine; Nygård, Guttorm; Olsen, Jørgen; Paulshus, Håvard; Rasmussen, Tore; Rishoff, Elling; Scibilia, Francesco; Skogås, John Olav (Peer reviewed; Journal article, 2023)

    • A distributed algorithm for controlling continuous and discrete variables in a radial distribution grid 

      Klemets, Jonatan Ralf Axel; Degefa, Merkebu Zenebe (Peer reviewed; Journal article, 2023)
      The increased integration of distributed energy resources (DERs) in the distribution network with intermitent generation profiles will likely make voltage regulation a difficult task. However, DERs bring both challenges ...

    • Efficient Chain Structure for High-Utility Sequential Pattern Mining 

      Lin, Jerry Chun-Wei; Li, Yuanfa; Fournier-Viger, Philippe; Djenouri, Youcef; Zhang, Ji (Peer reviewed; Journal article, 2020)
      High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative ...

    • Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years 

      Gurcan, Fatih; Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz Ercil; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2022)
      From the early days of computer systems to the present, software testing has been considered as a crucial process that directly affects the quality and reliability of software-oriented products and services. Accordingly, ...

    • Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem 

      Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Zhang, Chongsheng; Cano, Alberto (Peer reviewed; Journal article, 2020)
      Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ...

    • Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem 

      Djenouri, Youcef; Asma, Belhadi; Jerry, Chun-Wei Lin; Chongsheng, Zhang; Alberto, Cano (Peer reviewed; Journal article, 2020)
      Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ...

    • FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology 

      Pedersen, André; Valla, Marit; Bofin, Anna Mary; Perez de Frutos, Javier; Reinertsen, Ingerid; Smistad, Erik (Peer reviewed; Journal article, 2021)
      Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, ...

    • Force Tracking Using Actuated Winches with Position-Controlled Motors for Use in Hydrodynamical Model Testing 

      Ueland, Einar Skiftestad; Sauder, Thomas Michel; Skjetne, Roger (Peer reviewed; Journal article, 2021)
      In this paper, we consider the problem of accurate force control using actuated winches, intended for use in real-time hybrid hydrodynamic model testing. The paper is also relevant to other cable-driven parallel robot ...

    • GNSS Technology for Precise Positioning in CCAM: A Comparative Evaluation of Services 

      Schiess, Samuel; Berget, Gunhild Elisabeth; Arnesen, Petter; Brunes, Morten Taraldsten; Seter, Hanne; Muggerud, Astrid Marie Flattum (Peer reviewed; Journal article, 2023)
      Cooperative, connected, and automated mobility (CCAM) can lead to a significantly improved transport system by increasing safety and efficiency, and reducing emissions. To achieve the goal of fully automated mobility and ...

    • High-Power Machines and Starter-Generator Topologies for More Electric Aircraft: A Technology Outlook 

      Nøland, Jonas Kristiansen; Leandro, Matteo; Suul, Jon Are Wold; Molinas Cabrera, Maria Marta (Peer reviewed; Journal article, 2020)
      More electric aircraft (MEA) architectures consist of several subsystems, which must all comply with the settled safety requirements of aerospace applications. Thus, achieving reliability and fault-tolerance represents the ...

    • Investigating the Technological and Political Challenges of V2V Communication in Light of an Experimental Scenario Set Up 

      Arnesen, Petter; Dahl, Erlend; Hjelkrem, Odd Andre; Seter, Hanne (Peer reviewed; Journal article, 2021)
      The suggested benefits of automated vehicles are plentiful, but many of the benefits depend on connectivity with other vehicles and infrastructure to be useful to the society at large. This paper identifies two main research ...

    • Model Predictive Control of Marine Power Plants with Gas Engines and Battery 

      Bø, Torstein Ingebrigtsen; Vaktskjold, Erlend; Pedersen, Eilif; Mo, Olve (Journal article; Peer reviewed, 2019-01-31)
      The electric load demand on marine vessels is constantly changing during some operational modes, such as in harsh weather or complex operations. Therefore, diesel engines are typically used to handle these variations. Gas ...

    • Model Predictive Control of Marine Power Plants with Gas Engines and Battery 

      Bø, Torstein Ingebrigtsen; Vaktskjold, Erlend; Pedersen, Eilif; Mo, Olve (Journal article; Peer reviewed, 2019)

    • Modelling and Simulation Approaches for Local Energy Community Integrated Distribution Networks 

      Rana, Rubi; Berg, Kjersti; Degefa, Merkebu Zenebe; Löschenbrand, Markus (Peer reviewed; Journal article, 2022)
      Due to the absence of studies of local energy communities (LECs) where the grid is represented, it is very difficult to infer implications of increased LEC integration for the distribution grid as well as for the wider ...

    • Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy 

      Vats, Anuja; Raja, Kiran; Pedersen, Marius; Mohammed, Ahmed Kedir (Peer reviewed; Journal article, 2022)
      Early diagnosis of gastrointestinal pathologies leads to timely medical intervention and prevents disease development. Wireless Capsule Endoscopy (WCE) is used as a non-invasive alternative for gastrointestinal examination. ...

    • Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2021)
      This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based ...

    • Review and Alignment of Domain-Level Ontologies for Materials Science 

      de Baas, Anne F; Del Nostro, Pierluigi; Friis, Jesper; Ghedini, Emanuele; Goldbeck, Gerhard; Paponetti, Ilaria Maria; Pozzi, Andrea; Sarkar, Arkopaul; Yang, Lan; Zaccarini, Francesco Antonio; Toti, Daniele (Peer reviewed; Journal article, 2023)
      The growing complexity and interdisciplinary nature of Materials Science research demand efficient data management and exchange through structured knowledge representation. Domain-Level Ontologies (DLOs) for Materials ...