Søgeresultater - learning (algorithm OR algorithms)

  1. Introduction to Data Science and Machine Learning

    Udgivet 2021
    “...“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. ...”
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  2. Multi Agent Systems

    Udgivet 2021
    “...This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. ...”
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  3. Computer and Network Security

    Udgivet 2021
    “...Lightweight symmetric key cryptography and adaptive network security algorithms are in demand for mitigating these challenges. ...”
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  4. Computer Security Threats

    Udgivet 2021
    “...The chapters discuss different research frontiers in computer security with algorithms and implementation details for use in the real world. ...”
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  5. Sensor Signal and Information Processing III

    Udgivet 2021
    “...These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. ...”
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  6. Photoacoustic Tomography (PAT)

    Udgivet 2021
    Fag: “...Landweber algorithm...”
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    Online
  7. Intermetallic Compound

    Udgivet 2021
    Fag: “...gravitational search algorithm...”
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    Online
  8. Short-Term Load Forecasting 2019

    Udgivet 2021
    Fag: “...multiobjective optimization algorithm...”
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    Online
  9. Medical Informatics and Data Analysis

    Udgivet 2021
    Fag: “...bird swarm algorithm...”
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    Online