This is a Demo Server. Data inside this system is only for test purpose.

Browsing by Author "Khasanov, Doston"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation Count: 4
    Networking and Computing in Internet of Things and Cyber-Physical Systems
    (Ieee, 2020) Khujamatov, Khalim; Reypnazarov, Ernazar; Khasanov, Doston; Akhmedov, Nurshod; Department of Data Communication Networks and Systems
    Article discusses the issue of building the Internet of things and cyber-physical systems networks, as well as data processing in these systems. Initially, a comparative analysis of the concept of the Internet of things and cyber-physical systems were conducted. Then various network construction technologies are provided, including wired and wireless short-range technologies, solutions based on M2M, LPWAN, NB-IoT and 5G, as well as scientific and analytical data on cloud, fog, edge computing methods of data processing in these systems.
  • Thumbnail Image
    Conference Object
    Citation Count: 0
    Possibilities and Importance of Using Artificial Intelligence Technologies in Smart Grid Systems
    (EDP Sciences, 2024) Khasanov, D.; Khujamatov, H.; Jumanov, K.; Rakhimov, A.; Department of Data Communication Networks and Systems
    Smart Grid systems are generally aimed at solving many problems in energy supply, such as: balancing supply and demand, ensuring grid stability, ensuring reliability of electricity supply, and ensuring a wider integration of different generators and consumers. In order to achieve such goals in Smart Grid systems, the possibility of using modern artificial intelligence techniques, like other technologies, is very wide, and its use plays an important role in solving many problems in Smart Grid systems. This paper provides information on various applications, technologies and methods of artificial intelligence that serve to successfully implement the Smart Grid system. Also, the paper focuses on the characteristics of various artificial intelligence techniques and their importance in the developing energy ecosystem. © The Authors, published by EDP Sciences.