1st Edition
Artificial Intelligence Technologies, Applications, and 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.
Part 1 Introduction to Artificial Intelligence
Chapter 1: Overview of Artificial Intelligence
Pradeep Kumar Garg
Chapter 2: Knowledge Representation in Artificial Intelligence: An Overview
Lavanya Sharma and Pradeep Kumar Garg
Chapter 3: Programming languages in Artificial Intelligence
Sudhriti Sengupta
Part 2 Artificial Intelligence: Tools & Technologies
Chapter 4: Image Processing using Artificial Intelligence: Case Study on Classification of High-Dimensional Remotely Sensed Images
Dibyajyoti Chutia, Avinash Chouhan, Nilay Nishant, P Subhash Singh, DK Bhattacharyya, P L N Raju
Chapter 5: Artificial Intelligence and Image Processing
Sudhriti Sengupta
Chapter 6: Deep Learning Applications on very High-Resolution Aerial Imagery
Avinash Chouhan, Dibyajyoti Chutia, P L N Raju
Chapter 7: Improved Artificial Intelligence Combinatorial Algorithms Test for Pair-wise Testing used for Testing Data Generation in Big Data Applications
Deepa Gupta, Lavanya Sharma
Chapter 8: Potential Applications of Artificial Intelligence in Medical
T. Venkat Narayana Rao, K. Sarvani, K. Spandana
Chapter 9: Impact of Virtual and Augmented Reality on Mental Health Research and Applications
Priyanka Srivastava
Chapter 10: Solar Potential Estimation and Management using IoT, Big Data and Remote Sensing in Cloud Computing Environment
Mudit Kapoor, Rajul Dev Garg
Part 3 Artificial Intelligence based Real-time Applications
Chapter 11: Object Detection under Hazzy Environment for Real Time Application
Dileep Yadav, Sneha Mishra
Chapter 12: Real-Time Road Monitoring using Deep Learning Algorithm Deployed on IoT Devices
Nilay Nishant, Ashish Maharjan, Dibyajyoti Chutia, P L N Raju, Ashish Pradhan
Chapter 13: Automatic License Plate and Vehicle Number Detection using Image Processing and Deep Learning (with OpenCV)
Varshani Balaji, Vallidevi Krishnamurthy
Chapter 14: Design of a Chess Agent Using Reinforcement Learning with SARSA Network
Vallidevi Krishnamurthy, Sanjay Thiruvengadam V, Shankar Narayanan, Vignesh R C, K. Sreeram
Chapter 15: Graph Signal Processing Applied to Video Processing (Background Subtraction)
Jhony H. Giraldo, Thierry Bouwmans
Chapter 16: Application of Artificial Intelligence in Disaster Response
Alok Bharadwaj
Chapter 17: Use of Robotics in Surgery: Current Trends, Challenges and Future
Mukesh Carpenter
Chapter 18: Brain-Computer Interface: State-of-Art, Challenges and Future
V. Jokanović, B. Jokanović,
Chapter 19: Artificial Intelligence: Challenges and Future Applications
Pradeep Kumar Garg, Lavanya Sharma
Biography
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.
