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  • Sách/Book

  • Power Quality Enhancement using Artificial Intelligence Techniques

    • Authors: Ahmed S. Abbas (2023)

  • This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion.
  • Sách/Book

  • Driving 5G Mobile Communications with Artificial Intelligence towards 6G

    • Authors: Dragorad A. Milovanovic (2023)

  • Driving 5G Mobile Communications with Artificial Intelligence towards 6G is a moderate book with figures, tables, lists, MathML and formatting defined with structural markup. This book contains accessibility features such as a table of content, landmark, reading order, structural navigation, index, semantic structure, print page fidelity, in-text navigation links, and backlinks returning to the first in-text citation. Linked DOIs are provided, but are not uniquely identified.
  • Sách/Book

  • The thinking healthcare system : artificial intelligence and human equity

    • Authors: Dominique J. Monlezun (2023)

  • The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form―an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem.
  • Sách/Book

  • Big data marketing strategies for superior customer experience

    • Authors: Saura, Jose Ramon (2023)

  • The rapid growth of technological developments on the Internet has led many companies to adapt their business to the digital ecosystem and implement new methods and techniques not only to improve the users' experience but also to improve their analytical strategies. What is more, due to the accelerated interconnected world, the amount of information shared on the Internet has widely increased, hence, this allows companies to gather useful data so they can obtain a competitive advantage from it
  • Sách/Book

  • Grokking Deep Reinforcement Learning

    • Authors: Miguel Morales (2021)

  • This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.