Browsing HVL Open by Author "Iqbal, Muhammad Azhar"

Now showing items 1-4 of 4

    • cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing 

      Maryam, Afifa; Ahmed, Usman; Aleem, Muhammad; Lin, Jerry Chun-Wei; Muhammad Arshad, Islam; Iqbal, Muhammad Azhar (Journal article; Peer reviewed, 2020)
      Smart phones are an integral component of the mobile edge computing (MEC) framework. Securing the data stored on mobile devices is very crucial for ensuring the smooth operations of cloud services. A growing number of ...

    • Evaluation of Congestion Aware Social Metrics for Centrality-Based Routing 

      Islam, Muhammad Arshad; Iqbal, Muhammad Azhar; Aleem, Muhammad; Halim, Zahid; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Opportunistic networks utilize pocket switching for routing where each node forwards its messages to a suitable next node. The selection of the forwarder node is crucial for the efficient performance of a routing protocol. ...

    • A high-performance, hardware-based deep learning system for disease diagnosis 

      Siddique, Ali; Iqbal, Muhammad Azhar; Aleem, Muhammad; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Modern deep learning schemes have shown human-level performance in the area of medical science. However, the implementation of deep learning algorithms on dedicated hardware remains a challenging task because modern ...

    • A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases 

      Shah, Wajid; Aleem, Muhammad; Iqbal, Muhammad Azhar; Islam, Muhammad Arshad; Ahmed, Usman; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological ...