Research Advances in Intelligent Computing: Volume 2

✍ Scribed by Anshul Verma (editor), Pradeepika Verma (editor)

• Publisher: CRC Press
• Year: 2024
• Tongue: English
• Leaves: 244
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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