Browsing NTNU Open by Author "Dalipi, Fisnik"

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    • Application of Machine Learning in IoT enabled Smart Grids for Attack Detection 

      Abraham, Doney (Master thesis, 2020)
      Smarte strømnettsløsninger har blitt anvendt i større grad i nyere tid for kritisk infrastruktur med tanke på testing og utprøving i både stor og liten skala. Slike strømnettsløsninger kombinert med IoT har potensiale til ...

    • Data-driven Machine Learning Model in District Heating System for Heat Load Prediction: A Comparison Study 

      Dalipi, Fisnik; Yildirim, Sule; Gebremedhin, Alemayehu (Journal article; Peer reviewed, 2016)
      We present our data-driven supervised machine-learning (ML) model to predict heat load for buildings in a district heating system (DHS). Even though ML has been used as an approach to heat load prediction in literature, ...

    • The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies 

      Sayers, Dave; Sousa-Silva, Rui; Höhn, Sviatlana; Ahmedi, Lule; Allkivi-Metsoja, Kais; Anastasiou, Dimitra; Beňuš, Štefan; Bowker, Lynne; Bytyçi, Eliot; Catala, Alejandro; Çepani, Anila; Chacón-Beltrán, Rubén; Dadi, Sami; Dalipi, Fisnik; Despotovic, Vladimir; Doczekalska, Agnieszka; Drude, Sebastian; Fort, Karën; Fuchs, Robert; Galinski, Christian; Gobbo, Federico; Gungor, Tunga; Guo, Siwen; Höckner, Klaus; Láncos, PetraLea; Libal, Tomer; Jantunen, Tommi; Jones, Dewi; Klimova, Blanka; Korkmaz, EminErkan; Maučec, Mirjam Sepesy; Melo, Miguel; Meunier, Fanny; Migge, Bettina; Mititelu, Verginica Barbu; Névéol, Aurélie; Rossi, Arianna; Pareja-Lora, Antonio; Sanchez-Stockhammer, C.; Şahin, Aysel; Soltan, Angela; Soria, Claudia; Shaikh, Sarang; Turchi, Marco; Yildirim Yayilgan, Sule; Bessa, Maximino; Cabral, Luciana; Coler, Matt; Liebeskind, Chaya; Kernerman, Ilan; Rousi, Rebekah; Prys, Cynog (Research report, 2021)
      New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to ...

    • MOOC dropout prediction using machine learning techniques: Review and research challenges 

      Dalipi, Fisnik; Imran, Ali Shariq; Kastrati, Zenun (Chapter, 2018)
      MOOC represents an ultimate way to deliver educational content in higher education settings by providing high-quality educational material to the students throughout the world. Considering the differences between traditional ...

    • A new ski injury registration system architecture using mobile applications to enhance skiing safety 

      Yildirim, Sule; Du, Yang; Dalipi, Fisnik; Jeppesen, Jonas C. (Peer reviewed; Journal article, 2016)
      Mobile apps play an increasingly important role in healthcare institutions by enhancing the quality of healthcare services. Their role in sport injury prevention is also instrumental. In this article, we propose a system ...

    • Security and Privacy issues in IoT based Smart Grids: A case study in a digital substation 

      Abraham, Doney; Yildirim Yayilgan, Sule; Abomhara, Mohamed; Gebremedhin, Alemayehu; Dalipi, Fisnik (Chapter, 2022)
      Smart Grid is one of the increasingly used critical infrastructures that is essential for the functioning of a country. This coupled with Internet of Things (IoT) has huge potentials in several areas such as remote monitoring ...

    • Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study 

      Kastrati, Zenun; Dalipi, Fisnik; Imran, Ali Shariq; Pireva, Krenare; Wani, Mudasir Ahmad (Peer reviewed; Journal article, 2021)
      In the last decade, sentiment analysis has been widely applied in many domains, including business, social networks and education. Particularly in the education domain, where dealing with and processing students’ opinions ...

    • User interface evaluation of a ski injuries management system 

      Dalipi, Fisnik; Ferati, Mexhid; Yildirim, Sule (Journal article; Peer reviewed, 2017)
      Although many technological devices and solutions to enhance the skiing experience are now available for skiers, skiing sometimes could turn to be potentially dangerous. The speed of movement, environment unpredictability, ...