Artificial Intelligence (eBook, PDF)

Technologies, Applications, and Challenges
Redaktion: Sharma, Lavanya; Garg, Pradeep Kumar

• Format: PDF

Produktbeschreibung

This book is an invaluable resource for readers to explore the utilization of AI, applications, challenges, and its underlying technologies in different areas. Using a series of present and future apps, this book will support readers to get deeper knowledge and implementing the tools of AI.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 264
• Erscheinungstermin: 28. Oktober 2021
• Englisch
• ISBN-13: 9781000462678
• Artikelnr.: 62732405

Autorenporträt

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.

Inhaltsangabe

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