Research Advances in Intelligent Computing
eBook - ePub

Research Advances in Intelligent Computing

Volume 2

  1. 260 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Research Advances in Intelligent Computing

Volume 2

About this book

Researchers and scientists have invested a great deal of effort into developing computers and other devices to be more capable of doing a wider range of tasks. As a result, the potential of computers to do a wide range of tasks in different environments, at varying speeds, and in smaller forms is growing dramatically every day. Currently, there is a race to create robots or computers with human-level intelligence. Artificial Intelligence (AI) is the ability of a machine or software to think like a human being. The study of the human brain, specifically how humans learn, make decisions, and react when trying to solve issues, is the basis of AI. The creation of intelligent software and systems, or intelligent computing (IC), is the outcome of AI studies. An IC system can perceive, reason, learn, and use language. In IC systems, AI and other cutting-edge techniques are employed to create system intelligence. IC has been applied to almost every area of computer science, including networking, software engineering, gaming, robotics, expert systems, natural language processing, computer vision, image processing, and data science. In modern times, IC is also employed to tackle a wide range of challenging issues in numerous disciplines, such as weather forecasting, agriculture science, medicine, and economics. This book offers the most recent advancements in both IC and AI for all these reasons.

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Yes, you can access Research Advances in Intelligent Computing by Anshul Verma,Pradeepika Verma in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Technology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. About the editors
  7. List of contributors
  8. Preface
  9. Acknowledgments
  10. 1 A new method of range selection in global best–worst particle swarm optimization
  11. 2 Automatic speech recognition for cleft lip and cleft palate patients using deep learning techniques
  12. 3 Dynamics of underwater acoustic signal processing: An underwater acoustic marine habitat monitoring application perspective
  13. 4 Visual question answering (VQA) on radiology images: A survey of methods and techniques
  14. 5 A comparative approach for speech emotion recognition using CNN and branch CNN
  15. 6 Revolutionizing agriculture: A comprehensive review of artificial intelligence techniques in farming
  16. 7 Prediction of vitiligo skin disease spreading rate by image processing
  17. 8 A comparative analysis of different approaches to lexical and semantic document similarity
  18. 9 Artificial intelligence in banking and financial services
  19. 10 Healthcare applications of federated deep learning for cybersecurity in the Internet of Things
  20. 11 Prediction of suicidal risk using machine learning models
  21. 12 Information extraction and summarization of medical reports using Textract and GPT-2
  22. 13 A comparative study on prediction of soil health and crop recommendation using machine learning models
  23. 14 Marine soundscape source separation in the Indian Ocean Region (IOR) soundscape using unsupervised machine learning