Now showing items 10-20 of 20

    • Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends 

      Rafique, Saida Hafsa; Abdallah, Amira; Musa, Nura Shifa; Murugan, Thangavel (Multidisciplinary Digital Publishing Institute (MDPI), 2024-03)
      With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from ...
    • A model-driven approach for solving the software component allocation problem 

      Al-Azzoni, Issam; Blank, Julian; Petrović, Nenad (MDPI, 2021)
      The underlying infrastructure paradigms behind the novel usage scenarios and services are becoming increasingly complex—from everyday life in smart cities to industrial environments. Both the number of devices involved and ...
    • A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering 

      Ullah, Safi; Ahmad, Jawad; Khan, Muazzam A.; Alkhammash, Eman H.; Hadjouni, Myriam; Ghadi, Yazeed Yasin; Saeed, Faisal; Pitropakis, Nikolaos (MDPI, 2022)
      The Internet of Things (IoT) is a widely used technology in automated network systems across the world. The impact of the IoT on different industries has occurred in recent years. Many IoT nodes collect, store, and process ...
    • 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 Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model 

      Ahmad, Jawad; Al Qathrady, Mimonah; Alshehri, Mohammed S.; Ghadi, Yazeed Yasin; Rehman, Mujeeb Ur; Shah, Syed Aziz (Tech Science Press, 2023-08-30)
      Due to the inherent insecure nature of the Internet, it is crucial to ensure the secure transmission of image data over this network. Additionally, given the limitations of computers, it becomes even more important to ...
    • Optimization of fuzzy rules using neural network to control mobile robot in non-structured environment 

      Abubaker, Ayman A; Ghadi, Yazeed Yasin (Institute of Advanced Engineering and Science, 2023-10)
      It is still a challenge for all authors to control an autonomous mobile robot in an unstructured environment. The purpose of this paper is to propose a new control method for mobile robots in unstructured environments using ...
    • 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 ...