• Pros and cons of various equivalent frame models for nonlinear analysis of URM buildings 

      Shabani, Amirhosein; Kioumarsi, Mahdi (ECCOMAS Congress;8th European Congress on Computational Methods in Applied Sciences and Engineering, Conference object, 2022)
      Brick masonry is considered as one of the old construction materials, and several cultural heritage assets are made of unreinforced masonry (URM), which is susceptible to earthquakes due to its brittle behavior. The ...
    • Reading experiences and reading efficiency among adults with dyslexia: An accessibility study 

      Berget, Gerd; Fagernes, Siri (Lecture Notes in Computer Science;12769, Conference object, 2021-07-03)
      Dyslexia is a common reading disorder that typically affects reading, concentration and short-term memory. Consequently, for people with dyslexia, reading fictional books might be challenging. Several studies have addressed ...
    • Rebuilding the Industrial Revolution: Using Minecraft in Teacher Education in Social Studies 

      Andersen, Renate; Eie, Siv; Mørch, Anders Irving; Mifsud, Louise; Rustad, Mikkel Bertram (Proceedings (International Conference of the Learning Sciences);15th International Conference of the Learning Sciences (ICLS)i, Conference object, 2021)
      This article discusses how Minecraft: Education Edition (MEE) can be used as a teaching aid in social studies and as a digital learning resource to facilitate the development of generic and subject-specific competencies. ...
    • A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery 

      Benvenuti, Dario; Marrella, Andrea; Rossi, Jacopo; Nikolov, Nikolay Vladimirov; Roman, Dumitru; Soylu, Ahmet; Perales, Fernando (Lecture Notes in Business Information Processing;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      State-of-the-art approaches for managing Big Data pipelines assume their anatomy is known by design and expressed through adhoc Domain-Specific Languages (DSLs), with insufficient knowledge of the dark data involved in the ...
    • Residual Stress Prediction Of Welded Joints Using Gradient Boosting Regression 

      Keprate, Arvind; Bhardwaj, Sachin; RATNAYAKE MUDIYANSELAGE, Chandima; Ratnayake Mudiyanselage, Chandima (Communications in Computer and Information Science;Volume 1616, Conference object, 2022-07-23)
      Welding residual stress (WRS) estimation is highly nonlinear process due to its association with high thermal gradients generated during welding. Accurate and fast estimation of welding induced residual stresses in critical ...
    • Revisiting Redundant Text Color Coding in User Interfaces 

      Sandvold, Fredrik Strømsvåg; Schuller, Thomas; Rolfsvåg, Andreas; Sikkerbøl, Knut-Erik; Medola, Fausto Orsi; Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Practices for using redundant text color in user interfaces vary. Some designers have carefully incorporated redundant coding in their design, while in other instances redundant coding is not utilized. There is a vast body ...
    • 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 ...
    • SceneRecog: A Deep Learning Scene Recognition Model for Assisting Blind and Visually Impaired Navigate using Smartphones 

      Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (IEEE International Conference on Systems, Man and Cybernetics;2021 IEEE International Conference on Systems, Man, and Cybernetics, Conference object, 2022-01-06)
      Deep learning models have recently gained popularity in the research community due to their high classification success rates. In this paper, we proposed an EfficientNet-Lite based scene recognition model for scene recognition ...
    • ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Savkovic, Ognjen; Kostylev, Egor; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object, 2022)
      Automatic knowledge graph (KG) construction is widely used for e.g. data integration, question answering and semantic search. There are many approaches of automatic KG construction. Among which, an important approach is ...
    • Screen Reader Accessibility Study of Interactive Maps 

      Hasan, Sayed Kamrul; Gjøsæter, Terje (Lecture Notes in Computer Science;Volume 12768, Conference object, 2021-07-03)
      Digital maps have been an integral part of modern life. Whether to venture into an unknown location, check the latest traffic update, update on the weather forecast, we come across digital maps every day. While maps have ...
    • Seismic Vulnerability Assessment of a Historic Brick Masonry Building by Fragility Functions 

      Demirlioglu, Kültigin; Soyoz, Serdar (12th International Conference on Structural Analysis of Historical Constructions (SAHC 2021);, Book; Conference object, 2021)
      This paper aims at contributing to the seismic vulnerability assessment of a historic brick masonry building constructed in Istanbul by comparison of the derived analytical and empirical fragility functions. For this ...
    • Sharing qualitative interview data in dialogue with research participants 

      Kvale, Live Håndlykken; Pharo, Nils; Darch, Peter Thomas (Proceedings of the Association for Information Science and Technology;, Peer reviewed; Conference object; Journal article, 2023)
      Research data sharing is embedded in policies, guidelines and requirements commonly promoted by research funding organizations that demand data to be “as open as possible, as closed as necessary” and FAIR. This paper ...
    • SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data 

      Thomas, Aleena; Nikolov, Nikolay; Pultier, Antoine; Roman, Dumitru; Elvesæter, Brian; Soylu, Ahmet (IEEE Annual International Computer Software and Applications Conference (COMPSAC);2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Conference object, 2022-08-10)
      Big data pipelines are becoming increasingly vital in a wide range of data intensive application domains such as digital healthcare, telecommunication, and manufacturing for efficiently processing data. Data pipelines in ...
    • A single neural cellular automaton for body-brain co-evolution 

      Pontes Filho, Sidney; Walker, Kathryn; Najarro, Elias; Nichele, Stefano; Risi, Sebastian (Chapter; Peer reviewed; Conference object, 2022)
      The discovery of complex multicellular organism development took millions of years of evolution. The genome of such a multicellular organism guides the development of its body from a single cell, including its control ...
    • Situational Disabilities in Information Systems for Situational Awareness in Flood Situations in Nigeria 

      Ogbonna, Uchenna; Paupini, Cristina; Gjøsæter, Terje (IFIP Advances in Information and Communication Technology;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Floods are one of the major natural disasters that contribute to the high disaster death rate in the global south, especially in Nigeria. This requires an effort of collaboration from all stakeholders in designing, building, ...
    • Slaying the SA-Demons – Humans vs. Technology – A Content analysis 

      Radianti, Jaziar; Gjøsæter, Terje; Chen, Weiqin (Proceedings of the International Conference on Information Systems for Crisis Response and Management;18th International Conference on Information Systems for Crisis Response and Management, Conference object, 2021)
      This paper examines Situation Awareness (SA) and the application of Endsley’s SA-Demons in different contexts and research areas. We perform content analysis to examine how they are used, and to what degree they are perceived ...
    • Soccer Game Summarization using Audio Commentary, Metadata, and Captions 

      Gautam, Sushant; Midoglu, Cise; Sabet, Saeed; Kshatri, Dinesh Baniya; Halvorsen, Pål (MM: International Multimedia Conference;MM '22: The 30th ACM International Conference on Multimedia, Conference object, 2022)
      Soccer is one of the most popular sports globally, and the amount of soccer-related content worldwide, including video footage, audio commentary, team/player statistics, scores, and rankings, is enormous and rapidly growing. ...
    • SoGo Survey, una herramienta online de recogida de datos adecuada para el trabajo de campo 

      Abad Colom, Maria (Conference object, 2018)
      Las encuestas en papel están quedando obsoletas en investigación doctoral, y se impone el uso de un medio electrónico que permita recoger datos de manera sencilla, precisa, y sobre todo rápida. La aplicación SoGo Survey ...
    • SoMeMax - A Novel AI-driven Approach to Generate Artificial Social Media Content That Maximises User Engagement 

      Stave, Daniel Årrestad; Korneliussen, Hanne; Hjellup, H. Nøkkelby; Shrestha, Raju (Chapter; Peer reviewed; Conference object, 2023)
      Today, many artificial or virtual influencers roam social media platforms to maximise followers and offer commercial options for companies. This work focuses on developing artificial influencers using state-of-the-art ...
    • Standards Ethics Legal Implications Challenges of Artificial Intelligence 

      Keprate, Arvind; Chauhan, Sanjana (Chapter; Peer reviewed; Conference object, 2022)
      We are moving towards an era of automation and technological revolution with Artificial Intelligence (AI) at its core. There is no doubt that AI has created commercial value across various industries such as e-commerce, ...