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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

  • Multiple solution methods for teaching science in the classroom : improving quantitative problem solving using dimensional analysis and proportional

    • Authors: DeMeo, Stephen (2008)

  • For the first time in science education, the subject of multiple solution methods is explored in book form. While a multiple method teaching approach is utilized extensively in math education, there are very few journal articles and no texts written on this topic in science. Teaching multiple methods to science students in order to solve quantitative word problems is important for two reasons. First it challenges the practice by teachers that one specific method should be used when solving problems. Secondly, it calls into question the belief that multiple methods would confuse students and retard their learning.
  • 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

  • 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.