Artificial Intelligence and Natural Algorithms
eBook - ePub

Artificial Intelligence and Natural Algorithms

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Natural Algorithms

About this 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, 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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Yes, you can access Artificial Intelligence and Natural Algorithms by Rijwan Khan,Pawan Kumar Sharma,Sugam Sharma, Rijwan Khan, Pawan Kumar Sharma, Sugam Sharma in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. Data Computation: Awareness, Architecture and Applications
  8. Different Techniques of Data Fusion in Internet of Things (IoT)
  9. Role of Artificial Intelligence in Medicine and Health Care
  10. Threat Detection and Reporting System
  11. Offbeat Load Balancing Machine Learning based Algorithm for Job Scheduling
  12. A Pattern Optimization for Novel Class in Multi-Class Miner for Stream Data Classification
  13. Artificial Intelligence in Healthcare: on the Verge of Major Shift with Opportunities and Challenges
  14. A Review on Automatic Plant Species Recognition System by Leaf Image Using Machine Learning in Indian Ecological System
  15. Recognizing Rice Leaves Disorders by Applying Deep Learning
  16. Shallow Cloud Classification using Deep Learning and Image Segmentation
  17. Artificial Intelligence Based Lung Disease Classification By Using Evolutionary Deep Learning Paradigm
  18. Hybrid Deep Learning Model for Sleep Disorders Detection
  19. Identification of Covid-19 Positive Cases Using Deep Learning Model and CT Scan Images
  20. Application of Nature Inspired Algorithms to Test Data Generation/Selection/Minimization using Mutation Testing
  21. Multimodal Genetic Optimized Feature Selection for Online Sequential Extreme Learning Machine
  22. A New Non-Stigmergic-Ant Algorithm to Make Load Balancing Resilient in Big Data Processing for Enterprises
  23. Computational Algorithms and Study of Elastic Artery and their Applications
  24. Performance Analysis of CCS on Inclined Plane using Fuzzy-PID Controller