Artificial intelligence : technologies, applications, and challenges
著者
書誌事項
Artificial intelligence : technologies, applications, and challenges
（A Chapman & Hall book）
CRC Press, 2022
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence.
The book offers comprehensive coverage of the most essential topics, including:
Rise of the machines and communications to IoT (3G, 5G).
Tools and Technologies of Artificial Intelligence
Real-time applications of artificial intelligence using machine learning and deep learning.
Challenging Issues and Novel Solutions for realistic applications
Mining and tracking of motion based object data
image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications.
This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.
目次
Part 1. Introduction to Artificial Intelligence. Chapter 1: Overview of Artificial Intelligence. Chapter 2: Knowledge Representation in Artificial Intelligence: An Overview. Chapter 3: Programming languages in Artificial Intelligence. Part 2. Artificial Intelligence: Tools & Technologies. Chapter 4: Image Processing using Artificial Intelligence: Case Study on Classification of High-Dimensional Remotely Sensed Images. Chapter 5: Artificial Intelligence and Image Processing. Chapter 6: Deep Learning Applications on very High-Resolution Aerial Imagery. Chapter 7: Improved Artificial Intelligence Combinatorial Algorithms Test for Pair-wise Testing used for Testing Data Generation in Big Data Applications. Chapter 8: Potential Applications of Artificial Intelligence in Medical. Chapter 9: Impact of Virtual and Augmented Reality on Mental Health Research and Applications. Chapter 10: Solar Potential estimation and management using IoT, Big Data and Remote Sensing in Cloud Computing Environment. Part 3. Artificial Intelligence based Real-time Applications. Chapter 11: Object Detection under Hazzy Environment for Real Time Application. Chapter 12: Real-Time Road Monitoring using Deep Learning Algorithm Deployed on IoT Devices. Chapter 13: Automatic License Plate and Vehicle Number Detection using Image Processing and Deep Learning (with OpenCV). Chapter 14: Design of a Chess Agent Using Reinforcement Learning with SARSA Network. Chapter 15: Graph Signal Processing Applied to Video Processing (Background Subtraction). Chapter 16: Application of Artificial Intelligence in Disaster Response. Chapter 17: Use of Robotics in Surgery: Current Trends, Challenges and Future. Chapter 18: Brain-Computer Interface: State-of-Art, Challenges and Future. Chapter 19: Artificial Intelligence: Challenges and Future Applications
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