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It should be understood that all materials published by Sudan University of Science and Technology “SUST” on its website or Institutional Digital Repository are intended for scientific research and to support researchers.

Therefore it is strictly prohibited to reprint any material from master’s, doctoral theses or books published on its website without first obtaining written permission from “SUST”.

Any unauthorized reprinting of material or any portion of it gives “SUST” the authority to prosecute any person found in violation of this provision.

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  • Performance Analysis of OFDMA System in Multi-User Environments 
    Othman, AbdulRahman Tawfig Muhammad; Abdalla, Ayoub Osman Ibrahim; DaffaAllah, Ibrahim Mohammed Babiker; Salih, Kamal Ali Alzubair; Ali, Obada Idris Abas (Sudan University of Science and Technology, 2025-01)
    This project presents a comprehensive performance analysis of an Orthogonal Frequency Division Multiple Access (OFDMA) system in multi-user environments. The study investigates the impact of user mobility, varying ...
  • Crop Health Monitoring Using Convolutional Neural Network (CNN) 
    Othman, Abdalkareem Abdalmajed Mohmed; Hag Elzaki, Khalid Elwalid Omer; Babiker, Mohammed Osama; Ali, Omer Ibrahim; Supervisor, Rashid Saeed (Sudan University of Science and Technology, 2025-02)
    Crop diseases threaten global food security, requiring rapid and accurate detection to maintain agricultural productivity. Traditional methods for monitoring crop health are costly and inefficient. This research explores ...
  • Real-Time Object Detection and Tracking for Search and Rescue Operations 
    Aber, Ahmed Mohamed Salih; Abdalla, Mohamed Abdalla Mohamed; Alkhuzaei, Muaadh Ali Saeed; Omer, Omer Mohamed Abdalla; Supervisor, Rashid A. Saeed (Sudan University of Science and Technology, 2024)
    Real time object detection and tracking are of significant importance in improving search and rescue (SAR) by offering the ability to quickly and efficiently identify goals in adverse environments. These systems build on ...
  • Fire Detection based Image Recognition Using Machine Learning 
    Suliman, Alfatih Abdelbagi Adam; Adam, Eissa Khmeas Eissa; Wadi, Ismail Shaibo Abdalla; Hamid, Mohamed Hamid Hary; Adam, Mohammedalgasem Eltalib Mohammed; Supervised, Rashid A Saeed (Sudan University of Science and Technology, 2024-10)
    Fire detection is vital for safeguarding both the environment and human life, however, conventional fire detection methods, such as temperature and smoke sensors, often face inherent limitations. The machine learning models, ...
  • Development of Electromagnetic Field Exposure Model for Multi-Technology Mobile Networks using Optimal Weighted Antenna Angle 
    Mohammed, Mohammed Suleiman Elbasheir; Supervisor, Rashid Abdelhaleem Saeed; Co-Supervisor, Salaheldin Mohamed Ibrahim Edam (Sudan University of Science and Technology, 2024-10)
    Mobile networks are expanding quickly as a result of development in wireless technologies, especially with the recent introduction of the Fifth Generation New Radio (5G NR). The growth in mobile networks requires the ...

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