Blar i ODA Open Digital Archive på tidsskrift "Lecture Notes in Computer Science (LNCS)"

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    • Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...

    • Digital Volunteers in Disaster Response: Accessibility Challenges 

      Radianti, Jaziar; Gjøsæter, Terje (Lecture Notes in Artificial Intelligence;Volume 11573, Conference object, 2019-07-04)
      The emergence of the Digital Humanitarian Volunteer (DHV) movements when disaster strikes have drawn the attention of researchers and practitioners in the emergency management and humanitarian domain. While there are ...

    • Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.

    • Kvasir-SEG: A Segmented Polyp Dataset 

      Jha, Debesh; Pia H, Smedsrud; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas; Johansen, Dag; Johansen, Håvard D. (Lecture Notes in Computer Science;Volume 11962, Conference object, 2019-12-24)
      Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation masks. In this paper, we present Kvasir-SEG: ...

    • Learning Domain Knowledge using Block-Based Programming: Design-Based Collaborative Learning 

      Andersen, Renate; Mørch, Anders Irving; Litherland, Kristina (Lecture Notes in Computer Science (LNCS);Volume 12724, Peer reviewed; Journal article, 2021-06-24)
      Block-based programming languages have lowered the threshold to computer science (CS), providing a powerful (low threshold-high ceiling) arena for early CS education and engagement in STEM subjects. This paper presents ...

    • Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case 

      Tan, Zhipeng; Zhou, Baifan; Zheng, Zhuoxun; Savkovic, Ognjen; Huang, Ziqiang; Gonzalez, Irlan-Grangel; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ...

    • Perceivability of Map Information for Disaster Situations for People with Low Vision 

      Tunold, Siv; Radianti, Jaziar; Gjøsæter, Terje; Chen, Weiqin (Lecture Notes in Artificial Intelligence;Volume 11572, Conference object, 2019-07-03)
      Digital maps have become increasingly popular in disaster situation to provide overview of information. However, these maps have also created barriers for many people, particularly people with visual impairments. Existing ...

    • Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as the data format and ontologies as the ...

    • Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case 

      Zhou, Baifan; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that context, distributed computing solutions such ...

    • ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset 

      Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Telle-Hansen, Vibeke; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (Lecture Notes in Computer Science (LNCS);, Peer reviewed; Journal article, 2023)
      Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. ...

    • Searching for extreme portions in distributions: A comparison of pie and bar charts 

      Sandnes, Frode Eika; Flønes, Aina; Kao, Wei-Ting; Harrington, Patrick; Issa, Meisa (Lecture Notes in Computer Science;Volume 12341, Conference object, 2020-10-16)
      Aggregated data visualizations are often used by collaborative teams to gain a common understanding of a complex situations and issues. Pie and bar charts are both widely used for visualizing distributions. The study of ...

    • Secure 5G Network Slicing for Elderly Care 

      Feng, Boning; Do, Thuan Van; Jacot, Niels; Santos, Bernardo; Dzogovic, Bruno; Brandsma, Ewout; Do, van Thanh (Lecture Notes in Artificial Intelligence;volume 11673, Chapter; Peer reviewed, 2019-07-26)
      In the time of an ageing world, aging at home is both an economically and socially viable and sustainable solution which may also improve the elderly’s well-being. There are currently a few Home-based Elderly Care systems ...

    • Technological Care. Health Professionals’ Discourses on Technology in Home-Based Services Seen Through a Capability Approach 

      Thorstensen, Erik; Holthe, Torhild; Halvorsrud, Liv Torill; Karterud, Dag; Lund, Anne (Lecture Notes in Computer Science (LNCS);Volume 12208, Journal article; Peer reviewed, 2020-07-10)
      This article is a contribution to the reflection upon what forms of assistive technologies societies should provide to users of home-based services. The material is collected from five focus group interviews conducted in ...

    • Towards Cloud Storage Tier Optimization with Rule-Based Classification 

      Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Cloud storage adoption has increased over the years as more and more data has been produced with particularly high demand for fast processing and low latency. To meet the users’ demands and to provide a cost-effective ...