Blar i Institutt for IKT og realfag på tidsskrift "IEEE Access"

Viser treff 21-29 av 29

    • Pelee-Text++: A Tiny Neural Network for Scene Text Detection 

      Cordova, Manuel; Pinto, Allan; Pedrini, Helio; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2020)
      Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex ...

    • Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network 

      Ren, Lei; Sun, Yaqiang; Wang, Hao; Zhang, Lin (Journal article; Peer reviewed, 2018)
      Cyber-physical-social system (CPSS) has drawn tremendous attention in industrial applications such as industrial Internet of Things (IIoT). As the fundamental component of IIoT, bearings play an increasingly important role ...

    • Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites 

      Tang, Yayuan; Wang, Hao; Guo, Kehua; Xiao, Yizhe; Chi, Tao (Journal article; Peer reviewed, 2018)
      With the rapid growth of networking, cyber–physical–social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise ...

    • Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach 

      Ren, Lei; Zhao, Li; Hong, Sheng; Zhao, Shiqiang; Wang, Hao; Zhang, Lin (Journal article; Peer reviewed, 2018)
      Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven ...

    • A Survey on Machine Learning Techniques for Cyber Security in the Last Decade 

      Shaukat, Kamran; Luo, Suhuai; Varadharajan, Vijay; Hameed, Ibrahim A.; Xu, Min (Peer reviewed; Journal article, 2020)
      Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyberspace has become more vulnerable to automated and prolonged cyberattacks. Cyber security techniques provide enhancements ...

    • Temporal Topology Density Map 

      Hu, Zhicheng; Hojjati, Amirabbas; Haghshenas, Amirashkan; Hasan, Agus Ismail; Da Silva Torres, Ricardo (Peer reviewed; Journal article, 2023)
      Spatiotemporal data visualization is of paramount importance in several applications, especially for analyzing urban mobility data encoded on topologies. This paper introduces a novel solution, called Temporal Topology ...

    • Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review 

      Bjelland, Øystein; Rasheed, Bismi; Schaathun, Hans Georg; Pedersen, Morten Dinhoff; Steinert, Martin; Hellevik, Alf Inge; Bye, Robin Trulssen (Peer reviewed; Journal article, 2022)
      The use of digital twins to represent a product or process digitally is trending in many engineering disciplines. This term has also been recently introduced in the medical field. In arthroscopic surgery education, the ...

    • Visual Analytics: A Comprehensive Overview 

      Cui, Wenqiang (Journal article; Peer reviewed, 2019)
      With the ever-increasing amount of data, the world has stepped into the era of ‘‘Big Data’’. Presently, the analysis of massive and complex data and the extraction of relevant information, have been become essential tasks ...

    • What is Core and What Future Holds for Blockchain Technologies and Cryptocurrencies: A Bibliometric Analysis 

      Nasir, Adeel; Shaukat, Kamran; Khan, Kanwal Iqbal; Hameed, Ibrahim A.; Mahboob, Talha; Luo, Suhuai (Peer reviewed; Journal article, 2020)
      A new era awaits the development of cryptocurrency and blockchain technologies. This study highlights the influential and conceptual aspects of blockchain and cryptocurrency literature with bibliometric analysis. There are ...