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    Artificial Intelligence and Natural Algorithms

    Artificial Intelligence and Natural Algorithms

    Rijwan KhanDr. Pawan SharmaDr. Sugam SharmaProf. Santosh Kumar

    This book informs the reader about applications of ArtificialIntelligence (AI) and nature-inspired algorithms in different situations. Eachchapter in this book is written by topic experts on AI, nature-inspired algorithmsand data science. Chapters are structured to provide an introduction to the topic, the computational methodology required for experimentation and analysis, and a discussion of results results The basic concepts relevant to these topics are explained, includingevolutionary computing (EC), artificial neural networks (ANN), swarmintelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimizationalgorithms for data analysis. The contents include algorithms that can be used in systems designedfor plant science research, environmental analysis, computer vision andhealthcare. There are a variety of use cases highlighted in the book that demonstrate how computer algorithms can be used to simulate and understand natural phenomena, such as moving object detection, COVID-19 detection, genetic diversity, physiology and much more. Additionally, the contributors provide useful tips specific to some algorithsm such as load balancing techniques and fuzzy PID controls. The goal of the book is to equip the reader – students and data analysts– with the information needed to apply basic AI algorithms to resolve actualproblems encountered in a professional environment. This book informs the reader about applications of ArtificialIntelligence (AI) and nature-inspired algorithms in different situations. Eachchapter in this book is written by topic experts on AI, nature-inspired algorithmsand data science. Chapters are structured to provide an introduction to the topic, the computational methodology required for experimentation and analysis, and a discussion of results results The basic concepts relevant to these topics are explained, includingevolutionary computing (EC), artificial neural networks (ANN), swarmintelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimizationalgorithms for data analysis. The contents include algorithms that can be used in systems designedfor plant science research, environmental analysis, computer vision andhealthcare. There are a variety of use cases highlighted in the book that demonstrate how computer algorithms can be used to simulate and understand natural phenomena, such as moving object detection, COVID-19 detection, genetic diversity, physiology and much more. Additionally, the contributors provide useful tips specific to some algorithsm such as load balancing techniques and fuzzy PID controls. The goal of the book is to equip the reader – students and data analysts– with the information needed to apply basic AI algorithms to resolve actualproblems encountered in a professional environment.

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    description_of_book

    This book informs the reader about applications of ArtificialIntelligence (AI) and nature-inspired algorithms in different situations. Eachchapter in this book is written by topic experts on AI, natur

    Informations supplémentaires

    Fournisseur

    Date de publication

    2022 Sep 23

    Auteurs-
    Rijwan KhanDr. Pawan SharmaDr. Sugam SharmaProf. Santosh Kumar

    ISBN

    9789815036091

    À propos des auteurs

     Rijwan Khan
    Rijwan Khan
      Rijwan Khan
      Dr. Pawan Sharma
      Dr. Pawan Sharma
      Dr. Pawan Sharma
      Dr. Sugam Sharma
      Dr. Sugam Sharma
      Dr. Sugam Sharma
      Prof. Santosh Kumar
      Prof. Santosh Kumar
      Prof. Santosh Kumar

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