Artificial Intelligence

Technologies, Applications, and Challenges
1. Auflage 2024
ISBN: 978-0-367-69082-3
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 264 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 467 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:

- 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.

Zielgruppe

Academic, Postgraduate, Professional, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Sharma, Lavanya

Garg, Pradeep Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation

Inhaltsverzeichnis

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

Über Autor(innen)

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.