Artificial Intelligence (eBook, ePUB)
Technologies, Applications, and Challenges
Redaktion: Sharma, Lavanya; Garg, Pradeep Kumar
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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 g...
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:
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.
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.
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