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Artificial Intelligence: Technologies, Applications, and Challenges [Kõva köide]

Edited by (IIT Roorkee, India.), Edited by (Amity university, Noida, India.)
  • Formaat: Hardback, 248 pages, kõrgus x laius: 254x178 mm, kaal: 625 g, 22 Tables, black and white; 66 Line drawings, black and white; 19 Halftones, black and white; 85 Illustrations, black and white
  • Ilmumisaeg: 29-Oct-2021
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367690802
  • ISBN-13: 9780367690809
Teised raamatud teemal:
  • Formaat: Hardback, 248 pages, kõrgus x laius: 254x178 mm, kaal: 625 g, 22 Tables, black and white; 66 Line drawings, black and white; 19 Halftones, black and white; 85 Illustrations, black and white
  • Ilmumisaeg: 29-Oct-2021
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367690802
  • ISBN-13: 9780367690809
Teised raamatud teemal:
"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 ofthe 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"--

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.

Preface ix
Acknowledgments xi
Editors xiii
Contributors xv
Section I Introduction to Artificial Intelligence
1 Overview of Artificial Intelligence
3(16)
Pradeep Kumar Garg
2 Knowledge Representation in Artificial Intelligence: An Overview
19(10)
Lavanya Sharma
Pradeep Kumar Garg
3 Programming Languages Used in AI
29(10)
Sudhriti Sengupta
Section II Artificial Intelligence: Tools and Technologies
4 Image Processing Using Artificial Intelligence: Case Study on Classification of High-Dimensional Remotely Sensed Images
39(12)
Dibyajyoti Chutia
Avinash Chouhan
Nilay Nishant
P. Subhash Singh
D. K. Bhattacharyya
P. L. N. Raju
5 Artificial Intelligence and Image Processing
51(10)
Sudhriti Sengupta
6 Deep Learning Applications on Very High-Resolution Aerial Imagery
61(20)
Avinash Chouhan
Dibyajyoti Chutia
P. L. N. Raju
7 Improved Combinatorial Algorithms Test for Pairwise Testing Used for Testing Data Generation in Big Data Applications
81(10)
Deepa Gupta
Lavanya Sharma
8 Potential Applications of Artificial Intelligence in Medical Imaging and Health Care Industry
91(10)
T. Venkat Narayana Rao
K. Sarvani
K. Spandana
9 Impact of Virtual and Augmented Reality on Mental Health Research and Applications
101(16)
Priyanka Srivastava
10 Solar Potential Estimation and Management Using IoT, Big Data, and Remote Sensing in a Cloud Computing Environment
117(12)
Mudit Kapoor
Rahul Dev Garg
Section III Artificial Intelligence-Based Real-Time Applications
11 Object Detection under Hazy Environment for Real-Time Application
129(8)
Dileep Yadav
Sneha Mishra
12 Real-Time Road Monitoring Using Deep Learning Algorithm Deployed on IoT Devices
137(12)
Nilay Nishant
Ashish Maharjan
Dibyajyoti Chutia
P. L. N. Raju
Ashis Pradhan
13 AI-Based Real-Time Application: Pattern Recognition Automatic License Plate and Vehicle Number Detection Using Image Processing and Deep Learning (with OpenCV)
149(14)
Varshini Balaji
Vallidevi Krishnamurthy
14 Design of a Chess Agent Using Reinforcement Learning with SARSA Network
163(8)
Vallidevi Krishnamurthy
V. Sanjay Thiruvengadam
Shankar Narayanan
R. C. Vignesh
K. Sreeram
15 Moving Objects Detection in Video Processing: A Graph Signal Processing Approach for Background Subtraction
171(12)
Jhony H. Giraldo
Thierry Bouwmans
16 Application of Artificial Intelligence in Disaster Response
183(12)
Alok Bhardwaj
17 Use of Robotics in Surgery: Current Trends, Challenges, and the Future
195(8)
Mukesh Carpenter
18 Brain-Computer Interface: State-of-Art, Challenges, and the Future
203(26)
V. Jokanovic
B. Jokanovic
19 Artificial Intelligence: Challenges and Future Applications
229(18)
Pradeep Kumar Garg
Lavanya Sharma
Index 247
Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She has been a recipient of several prestigious awards during her academic career. She is an active nationally recognized researcher who has published numerous papers in her field.

Prof. Pradeep Kumar Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. He is currently working in the department of Civil Engineering, IIT Roorkee as a professor. Prof. Garg has published more than 300 technical papers in national and international conferences and journals. He has undertaken 26 research projects and provided technical services to 83 consultancy projects on various aspects of Civil Engineering, generating funds for the Institute.