Blar i Institutt for datateknologi og informatikk på tidsskrift "Communications in Computer and Information Science"

Viser treff 1-9 av 9

    • An Automated Approach for Analysing Students Feedback Using Sentiment Analysis Techniques 

      Sadriu, Shpetim; Pireva Nuci, Krenare; Imran, Ali Shariq; Uddin, Imran; Sajjad, Muhammad (Journal article, 2022)
      Conducting and evaluating continuous student feedback is essential for any quality enhancement cell (QEC) within an education institution. Students’ feedback based on their personal opinions can play a vital role in ensuring ...

    • Blockchain-Powered Service Migration for Uncertainty-Aware Workflows in Edge Computing 

      Xu, Xiaolong; Geng, Qingfan; Cao, Hao; Mo, Ruichao; Wan, Shaohua; Qi, Lianyong; Wang, Hao (Journal article; Peer reviewed, 2019)
      In edge computing, the workflow is used to simulate and manage computing tasks as well as information exchange for compute-intensive and data-intensive application, which is convenient for the various complex process to ...

    • Edge Computing-Enabled Resource Provisioning for Video Surveillance in Internet of Vehicles 

      Xu, Xiaolong; Wu, Qi; He, Chengxun; Wan, Shaohua; Qi, Lianyong; Wang, Hao (Journal article; Peer reviewed, 2019)
      As a novel technology, Internet of Vehicles (IoV) is employed to gather real-time traffic information for drivers from sensors and video surveillance devices with image processing, circumstances analysis and events ...

    • Exploring Pattern Mining for Solving the Ontology Matching Problem 

      Belhadi, Hiba; Akli-Astouati, Karima; Djenouri, Youcef; Lin, Chun Wei (Peer reviewed; Journal article, 2019)
      This paper deals with the ontology matching problem, and proposes a pattern mining approach that exploits the different correlation and dependencies between the different properties to select the most appropriate features ...

    • Fast and accurate group outlier detection for trajectory data 

      Djenouri, Youcef; Nørvåg, Kjetil; Ramampiaro, Heri; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)
      Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ...

    • Multimodal 3D object detection from simulated pretraining 

      Brekke, Åsmund Halse; Vatsendvik, Fredrik; Lindseth, Frank (Peer reviewed; Journal article, 2019)
      The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models. In order for these models to generalize to real-world ...

    • Navigating OWL 2 Ontologies through Graph Projection 

      Soylu, Ahmet; Kharlamov, Evgeny (Journal article; Peer reviewed, 2018)
      Ontologies are powerful, yet often complex, assets for rep- resenting, exchanging, and reasoning over data. Particularly, OWL 2 ontologies have been key for constructing semantic knowledge graphs. Ability to navigate ...

    • Similarity measure development for case-based reasoning?a data-driven approach 

      Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Peer reviewed; Journal article, 2019)
      In this paper, we demonstrate a data-driven methodology for modelling the local similarity measures of various attributes in a dataset. We analyse the spread in the numerical attributes and estimate their distribution using ...

    • A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway 

      Xue, Kai; Ding, Yiyu; Yang, Zhirong; Nord, Natasa; Barillec, Mael Roger Albert; Mathisen, Hans Martin; Liu, Meng; Giske, Tor Emil; Stenstad, Liv-Inger; Cao, Guangyu (Peer reviewed; Journal article, 2020)
      Hospitals are one of the most energy-consuming commercial buildings in many countries as a highly complex organization because of a continuous energy utilization and great variability of usage characteristic. With the ...