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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, Professional, Undergraduate Advanced, and Undergraduate Core
Illustrationen
85 s/w Abbildungen, 19 s/w Photographien bzw. Rasterbilder, 66 s/w Zeichnungen, 22 s/w Tabellen
22 Tables, black and white; 66 Line drawings, black and white; 19 Halftones, black and white; 85 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-367-69080-9 (9780367690809)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
Herausgeber*in
Amity university, Noida, India.
IIT Roorkee, India.
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
