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Artificial Intelligence (AI): Recent Trends and Applications by Kanimozhi 9781000375541 1000375544

Name: Artificial Intelligence (AI): Recent Trends and Applications by Kanimozhi 9781000375541 1000375544
SKU: EB-34997612
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Artificial Intelligence (AI): Recent Trends and Applications S. Kanimozhi Suguna Digital Instant Download

Author(s): S. Kanimozhi Suguna, M. Dhivya, Sara Paiva

ISBN(s): 9780367431365, 9780367759698, 9781003005629, 036743136X, 0367759691, 1003005624

Edition: 1st

File Details: PDF, 6.27 MB

Year: 2021

Language: English

SKU: EB-34997612 Category: Computers - Artificial Intelligence (AI) Tags: Applications, Artificial Intelligence, Recent Trends, Sara Paiva

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Artificial Intelligence (AI): Recent Trends and Applications S. Kanimozhi Suguna – Ebook Instant Download/Delivery ISBN(s): 9781000375541, 1000375544

Product details:

ISBN 10:1000375544
ISBN 13: 9781000375541
Author: Kanimozhi

Artificial Intelligence (AI)
Recent Trends and Applications

This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.

Table contents:

Chapter 1 Advances in Large-Scale Systems Simulation Modelling Using Multi-Agent Architectures Optimized with Artificial Intelligence Techniques for Improved Concurrency-Supported Scheduling Mechanisms with Application to Wireless Systems Simulation
Chapter 2 Let’s Find Out: Why Do Users React Differently to Applications Infused with AI Algorithms?
Chapter 3 AI vs. Machine Learning vs. Deep Learning
Chapter 4 AI and Big Data: Ethical Reasoning and Responsibility
Chapter 5 Online Liquid Level Estimation in Dynamic Environments Using Artificial Neural Network
Chapter 6 Computer Vision Concepts and Applications
Chapter 7 Generative Adversarial Network: Concepts, Variants, and Applications
Chapter 8 Detection and Classification of Power Quality Disturbances in Smart Grids Using Artificial Intelligence Methods
Chapter 9 Robust Design of Artificial Neural Network Methodology to Solve the Inverse Kinematics of a Manipulator of 6 DOF
Chapter 10 Generative Adversarial Network and Its Applications
Chapter 11 Applications of Artificial Intelligence in Environmental Science
Chapter 12 A Genetic Algorithm-based Artificial Intelligence Solution for Optimizing E-Commerce Logistics Vehicle Routing
Chapter 13 Application of Machine Learning for Fault Detection and Energy Efficiency Improvement in HVAC Application
Chapter 14 Smart City Using Artificial Intelligence Enabled by IoT
Chapter 15 AI Emerging Communication and Computing
Index

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