Blar i Høgskulen på Vestlandet på tidsskrift "IEEE Internet of Things Journal"

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    • Emergent Deep Learning for Anomaly Detection in Internet of Everything 

      Djenouri, Youcef; Djenouri, Djamel; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect ...

    • Evolutionary Trading Signal Prediction Model Optimization based on Chinese News and Technical Indicators in the Internet of Things 

      Chen, Chun-Hao; Shih, Ping; Srivastava, Gautam; Hung, Shih-Ting; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The Internet of Things technologies are essential in deploying successful IoT-based services, especially in the financial services sector in recent years. Stock market prediction which could also be an IoT-based service ...

    • Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Ghosh, Uttam; Chatterjee, Pushpita; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ...

    • An IoT-based Hedge System for Solar Power Generation 

      Syu, Jia-Hao; Wu, Mu-En; Srivastava, Gautam; Chao, Chi-Fang; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Environmental protection is an important issue in recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small ...