• Accessibility of MOOCs for Blind People in Developing Non-English Speaking Countries 

      Ferati, Mexhid; Mripa, Njomza; Bunjaku, Ridvan (Chapter; Peer reviewed; Chapter, 2016-07-08)
      Besides the globally popular MOOCs, localized MOOCs specific to a region or language are also emerging. These specialized MOOCs often aim to address specific needs that are typically unaddressed by the ...
    • Accessibility of self-service technology 

      Nuridov, Adam (ACIT;2022, Master thesis, 2022)
      With the technology evolving at today’s fast pace, and the world becoming more digital, services are becoming more digital as well. With digitalization of services, more services become self-service, but is the self-service ...
    • Accessibility Study of interactive maps and design recommendation to enhance screen reader accessibility 

      Hasan, Sayed Kamrul (MAUU;2020, Master thesis, 2020)
      Digital maps have been an integral part of modern life. We use digital maps online and offline on our smartphones, tablets, computers, kiosks, etc. Whether to venture into an unknown location, check the latest traffic ...
    • Accessibility to Transylvania's cultural heritage through BIM-Heritage and community involvement 

      Chionu, G.C.; Rolfsen, C.N.; Deaconu, O. (IOP Conference Series: Materials Science and Engineering;Volume 789, 012010, Journal article; Peer reviewed, 2020)
      The rural areas of Transylvania offer important resources for developing research in diversity of the cultural heritage. Many of these communities have seen great changes in demographics over the last 30-50 years, and ...
    • Accessible and usable web interface forpPower grid database 

      Devkota, Sujan (ACIT;2021, Master thesis, 2021)
      Different stakeholders of the electric power grid sector need data for their research and decision-making tasks. However, the power grid field lacks an accessible and easy-to-use system that contains openly available data ...
    • An accessible directions-based text entry method using two-thumb touch typing 

      Ye, Linghui (Master thesis, 2018)
      Text entry on smartphone is a common activity in people's daily lives, and this activity heavily relies on users’ visual feedback and advanced motor function. Generally, the average touchscreen size of current smartphones ...
    • An accessible directions-based text entry method using two-thumb touch typing 

      Ye, Linghui (MAUU;2018, Master thesis, 2018)
      Text entry on smartphone is a common activity in people's daily lives, and this activity heavily relies on users’ visual feedback and advanced motor function. Generally, the average touchscreen size of current smartphones ...
    • Accessible Driver Announcement in Public Transportation: A Solution based on Speech-to-Text and Display 

      Sapkota, Abhijeet; Shrestha, Raju (IEEE International Conference on Smart City and Informatization (iSCI); 2020 IEEE 8th International Conference on Smart City and Informatization (iSCI), Conference object, 2021-02-11)
      Today, the information in public transport, especially when an unforeseen event such as signal failure, platform change, etc. occurs, is largely provided by making an audio announcement. This, in many situations, is hardly ...
    • Accurate Virtual Trial Assembly Method of Prefabricated Steel Components Using Terrestrial Laser Scanning 

      Zhou, Y.; Han, Daguang; Hu, K, etc.; Qin, Guocheng; Xiang, Zhongfu; Ying, Chunli; Zhao, Lidu; Hu, Xingyi (Advances in Civil Engineering;Volume 2021, Peer reviewed; Journal article, 2021-06-16)
      The comprehensive utilization of prefabricated components (PCs) is one of the features of industrial construction. Trial assembly is imperative for PCs used in high-rise buildings and large bridges. Virtual trial assembly ...
    • Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution 

      Erik Aaron, Hansen; Nichele, Stefano; Yazidi, Anis; Haugerud, Hårek; Abolpour Mofrad, Asieh; Alcocer, Alex (Chapter; Peer reviewed, 2018)
      Abruptions to the communication infrastructuremight occur occasionally, where manual intervention by dedi-cated personnel is needed to fix the interruptions, restoring com-munication abilities. However, sometimes this can ...
    • Achieving Fair Load Balancing by Invoking a Learning Automata-based Two Time Scale Separation Paradigm 

      Yazidi, Anis; Hassan, Ismail; Hammer, Hugo Lewi; Oommen, John (IEEE Transactions on Neural Networks and Learning Systems;, Journal article; Peer reviewed, 2020-08-05)
      In this article, we consider the problem of load balancing (LB), but, unlike the approaches that have been proposed earlier, we attempt to resolve the problem in a fair manner (or rather, it would probably be more appropriate ...
    • Achieving Intelligent Traffic-aware Consolidation of Virtual Machines in a Data Center Using Learning Automata 

      Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Chapter; Peer reviewed, 2016)
      Cloud Computing (CC) is becoming increasingly pertinent and popular. A natural consequence of this is that many modern-day data centers experience very high internal traffic within the data centers themselves. The ...
    • Achieving zero-energy building performance with thermal and visual comfort enhancement through optimization of fenestration, envelope, shading device, and energy supply system 

      Rabani, Mehrdad; Madessa, Habtamu Bayera; Nord, Natasa (Sustainable Energy Technologies and Assessments;Volume 44, April 2021, 101020, Journal article; Peer reviewed, 2021-02-01)
      Building retrofitting towards nearly zero energy building (nZEB) with comfortable visual and thermal conditions, requires a comprehensive parametric analysis of building retrofit measures. This paper presented an optimization ...
    • ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval 

      Lin, Tengteng; Chen, Qiaosheng; Cheng, Gong; Soylu, Ahmet; Ell, Basil; Zhao, Ruoqi; Shi, Qing; Wang, Xiaxia; Gu, Yu; Kharlamov, Evgeny (IR: Research and Development in Information Retrieval;SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Conference object, 2022)
      Ad hoc dataset retrieval is a trending topic in IR research. Methods and systems are evolving from metadata-based to content-based ones which exploit the data itself for improving retrieval accuracy but thus far lack a ...
    • Acoustic metamaterials with controllable bandgap gates based on magnetorheological elastomers 

      Soleiman Fallah, Arash; Bereznykov, Oleksii; Boiger, Gernot; Sareh, Pooya; Gorshkov, V N (International Journal of Mechanical Sciences;Volume 238, 15 January 2023, 107829, Peer reviewed; Journal article, 2022)
      Acoustic metamaterials allow for creating selective pass- and stop-bands on the frequency spectrum. We demonstrate the possibility of designing acoustic metamaterials as core-shell 2D-phononic media with an extremely simple ...
    • Action Recognition in Real Homes using Low Resolution Depth Video Data 

      Casagrande, Flavia Dias; Nedrejord, Oda Olsen; Lee, Wonho; Zouganeli, Evi (Annual IEEE Symposium on Computer-Based Medical Systems;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2019-08-05)
      We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ...
    • Activity dependent delay learning in spiking neural networks 

      Farner, Jørgen (ACIT;2022, Master thesis, 2022)
      Several observations indicate activity dependent changes in the propagation velocity of action potentials in biological neural networks. These changes are believed to be deliberate mechanisms in the brain used to mediate ...
    • Activity Recognition and Prediction in Real Homes 

      Casagrande, Flavia Dias; Zouganeli, Evi (Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)
      In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ...
    • An adaptive knowledge evolution strategy for finding near-optimal solutions of specific problems 

      Huang, Yo-Ping; Chang, Yueh-Tsun; Hsieh, Shang-Lin; Sandnes, Frode Eika (Expert Systems with Applications;38 (4), Journal article; Peer reviewed, 2011-04)
      Most real-world problems cannot be mathematically defined and/or structured modularly for peer researchers in the same community to facilitate their work. This is partially because there are no concrete defined methods ...
    • Adaptive learning with artificial barriers yielding Nash equilibria in general games 

      Oommen, John B.; Yazidi, Anis (Peer reviewed; Journal article, 2003)
      Artificial barriers in Learning Automata (LA) is a powerful and yet under-explored concept although it was first pro- posed in the 1980s. Introducing artificial non-absorbing barriers makes the LA schemes resilient to ...