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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Release Date: 2020/10/01
ISBN: 9781000179538
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Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.

The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications.

Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems.

Features

  • Includes AI-based decision-making approaches

  • Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images

  • Covers automation of systems through machine learning and deep learning approaches and its implications to the real world

  • Presents data analytics and mining for decision-support applications

  • Offers case-based reasoning

Table of Contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Acknowledgment
  9. Editors
  10. Contributors
  11. Chapter 1 An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits
  12. Chapter 2 Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach
  13. Chapter 3 Object Detection and Tracking in Video Using Deep Learning Techniques: A Review
  14. Chapter 4 Fuzzy MCDM: Application in Disease Risk and Prediction
  15. Chapter 5 Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks
  16. Chapter 6 A Novel Method for Securing Cognitive Radio Communication Network Using the Machine Learning Schemes and a Rule Based Approaches
  17. Chapter 7 Detection of Retinopathy of Prematurity Using Convolution Neural Network
  18. Chapter 8 Impact of Technology on Human Resource Information System and Achieving Business Intelligence in Organizations
  19. Chapter 9 Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm
  20. Chapter 10 Role of Machine Learning in Social Area Networks
  21. Chapter 11 Breast Cancer and Machine Learning: Interactive Breast Cancer Prediction Using Naive Bayes Algorithm
  22. Chapter 12 Deep Networks and Deep Learning Algorithms
  23. Chapter 13 Machine Learning for Big Data Analytics, Interactive and Reinforcement
  24. Chapter 14 Fish Farm Monitoring System Using IoT and Machine Learning
  25. Index
18.218.129.100