Optimized Computational Intelligence Driven Decision-Making
eBook - PDF

Optimized Computational Intelligence Driven Decision-Making

Theory, Application and Challenges

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Optimized Computational Intelligence Driven Decision-Making

Theory, Application and Challenges

About this book

This book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts.

Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains.

  • includes real-life case studies highlighting different advanced technologies in computational intelligence;
  • provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics;
  • reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain;
  • offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges;
  • presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics;
  • includes architectural models and applications-based augmented solutions for optimized computational intelligence.

Audience

The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence.

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Yes, you can access Optimized Computational Intelligence Driven Decision-Making by Hrudaya Kumar Tripathy,Sushruta Mishra,Minakhi Rout,S. Balamurugan,Samaresh Mishra 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. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Emergence of Advanced Computational Intelligence Coupled with Smart Environment
  8. Chapter 2 Machine Learning-Enabled Integrated Information Platform for Educational Universities
  9. Chapter 3 False Data Injection Attack Detection Using Machine Learning in Industrial Internet of Things
  10. Chapter 4 Fake News Detection: Restricting Spreading of Misinformation Using Machine Learning
  11. Chapter 5 Adaptability, Flexibility, and Accessibility Through Telemedicine
  12. Chapter 6 Crop Prediction by Implementing Machine Learning in an IoT-Based System
  13. Chapter 7 Relevance of Smart Management of Road Traffic System Using Advanced Intelligence
  14. Chapter 8 Visualization of Textual Corpora Using Social Network Analysis
  15. Chapter 9 Autonomous Intelligent Vehicles: Impact, Current Market, Future Trends, Challenges, and Limitations
  16. Chapter 10 Role of Smart and Predictive Healthcare in Modern Society
  17. Chapter 11 An Analytical Study on Depression Detection Using Machine Learning
  18. Chapter 12 Revolutionizing Healthcare: Empowering Faster Treatment with IoT-Powered Smart Healthcare
  19. Chapter 13 Machine Learning Algorithms for Initial Diagnosis of Parkinson’s Disease
  20. Chapter 14 Towards a Sustainable Future: Harnessing the Power of Computational Intelligence to Track Climate Change
  21. Chapter 15 Impact of Computational Intelligence and Modeling in Tackling Weather Fluctuation
  22. Index
  23. Also of Interest
  24. EULA