Browsing by Author "Assam, Muhammad"

Now showing items 1-5 of 5

    • Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning 

      Ali, Aitizaz; Ali, Hashim; Saeed, Aamir; Ahmed Khan, Aftab; Tin, Ting Tin; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge ...

    • 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 New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory 

      Tang, Hao; Bhatti, Uzair Aslam; Li, Jingbing; Marjan, Shah; Baryalai, Mehmood; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Wiley-Hindawi, 2023)
      In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air ...

    • Revolutionizing Small-Scale Retail: Introducing an Intelligent IoT-based Scale for Efficient Fruits and Vegetables Shops 

      Zargham, Abdullah; Haq, Ihtisham Ul; Alshloul, Tamara; Riaz, Samad; Husnain, Ghassan; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      In the bustling streets of Pakistan, small-scale fruits and vegetables shops stand as vital hubs of daily life. These humble establishments are where people flock to satisfy their everyday needs. However, the traditional ...

    • 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 ...