Browsing Computer Engineering by Title

Now showing items 16-20 of 20

    • Sensors-Based Ambient Assistant Living via E-Monitoring Technology 

      Hafeez, Sadaf; Ghadi, Yazeed Yasin; Alarfaj, Mohammed; al Shloul, Tamara; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (Tech Science Press, 2022)
      Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient assisted living, the task of monitoring human activities plays ...

    • Smart home energy management systems: Research challenges and survey 

      Raza, Ali; Jingzhao, Li; Ghadi, Yazeed; Adnan, Muhammad; Ali, Mansoor (Elsevier B.V., 2024-04)
      Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to ...

    • Synergistic Swarm Optimization Algorithm 

      Alzoubi, Sharaf; Abualigah, Laith; Sharaf, Mohamed; Daoud, Mohammad Sh; Khodadadi, Nima; Jia, Heming (Tech Science Press, 2024-03)
      This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm (SSOA). The SSOA combines the principles of swarm intelligence and synergistic cooperation to search for optimal ...

    • Texture features analysis technique to detect mass lesion in digitized mammogram images 

      Abubaker, Ayman A.; Ghadi, Yazeed Yasin (Institute of Advanced Engineering and Science, 2023)
      Mass lesions are one of the breast cancer tumors. Mammogram images are the first screening tool to detect tumors in the women breast, but due to radiologist fatigue, number of false positive (FP) and false negative (FN) ...

    • Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification 

      Hijazi, Musab Mustafa; Zeki, Akram; Ismail, Amelia (Zarka Private University, 2023)
      A huge amount of crucial information is contained in documents. The vast increase in the number of E-documents available for user access makes the utilization of automated text classification essential. Classifying or ...