Browsing by Author "Nadeem, Muhammad Imran"

Now showing items 1-4 of 4

    • Breaking down linguistic complexities: A structured approach to aspect-based sentiment analysis 

      Ahmed, Kanwal; Nadeem, Muhammad Imran; Zheng, Zhiyun; Li, Dun; Ullah, Inam; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (King Saud bin Abdulaziz University, 2023-09)
      Aspect-based sentiment analysis refers to the task of determining the sentiment polarity associated with particular aspects mentioned in a sentence or document. Previous studies have used attention-based neural network ...

    • A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids 

      Naeem, Afrah; Aslam, Zeeshan; Shloul, Tamara Al; Naz, Aqdas; Nadeem, Muhammad Imran; Al-Adhaileh, Mosleh Hmoud; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Institute of Electrical and Electronics Engineers Inc., 2023)
      Due to the illegal use of electricity, non-technical losses are exponentially increasing in electricity distribution systems day by day. With the debut of smart meters in the smart grid, new electricity theft attacks are ...

    • A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids 

      Naeem, Afrah; Javaid, Nadeem; Aslam, Zeeshan; Nadeem, Muhammad Imran; Ahmed, Kanwal; Ghadi, Yazeed Yasin; Alahmadi, Tahani Jaser; Ghamry, Nivin A.; Eldin, Sayed M. (Elsevier Ltd, 2023)
      Electricity theft is the largest type of non-technical losses faced by power utilities around the globe. It not only raises revenue losses to the utilities but also leads to lethal fires and electric shocks at distribution ...

    • SSM: Stylometric and semantic similarity oriented multimodal fake news detection 

      Nadeem, Muhammad Imran; Ahmed, Kanwal; Zheng, Zhiyun; Li, Dun; Assam, Muhammad; Ghadi, Yazeed Yasin; Alghamedy, Fatemah H.; Eldin, Elsayed Tag (King Saud bin Abdulaziz University, 2023)
      Over the years, there has been a rise in the number of fabricated and fake news stories that utilize both textual and visual information formats. This coincides with the increased likelihood that users will acquire their ...