finelybook
Integration of Artificial Intelligence and Machine Learning Methods for Smart Internet of Things Systems and its Applications
Author(s): Biswa Mohan Sahoo Mohit Kumar Abadhan Saumya Sabyasachi Editors
- Publisher finelybook 出版社: Nova Science Publishers, Inc.
- Publication Date 出版日期: July 29, 2024
- Language 语言: English
- Print length 页数: 297 pages
- ISBN-13: 9798891139107
Book Description
This book is crafted to provide a comprehensive exploration of the integration of AI and ML techniques in the context of Smart IoT systems. The editors embark on a journey through the fundamental principles, methodologies, and applications that define this dynamic field. From the basics of AI and ML to their tailored applications in the IoT domain, the chapters unfold to reveal the intricacies of this symbiotic relationship. Key features of this book include the following. Foundations of AI and ML: The book begins with a thorough examination of the foundational concepts of AI and ML, providing readers with a solid understanding of the principles that underpin these technologies; Smart IoT Systems: Delving into the world of Smart IoT systems, the book explores the architecture, components, and challenges associated with building intelligent and interconnected ecosystems; Integration Strategies: Various strategies for seamlessly integrating AI and ML into IoT systems are discussed, offering insights into how these technologies can complement each other to enhance overall system efficiency; Applications Across Industries: The practical applications of AI and ML in diverse industries are explored, showcasing real-world examples of how these technologies are reshaping sectors such as healthcare, transportation, manufacturing, and more; Challenges and Future Directions: Recognizing that every technological advancement comes with its set of challenges, the book addresses the ethical, security, and privacy concerns associated with the integration of AI and ML in Smart IoT systems. Additionally, it provides a glimpse into the future, outlining potential trends and advancements.
Contents
Preface
Chapter 1
Anomalies in Risks and Returns After Pronouncement of Investments in Artificial Intelligence
Abstract
Introduction
Purpose
Theoretical Framework
Efficient Markets Hypothesis
Modern Portfolio Theory
Price Discovery
Signaling Theory
Arbitrage Pricing Theory
Behavioral Finance
Literature Review
Hypotheses
Empirical Method
Modeling Financial Risk with GARCH
Statistical Method
Results
Discussion
Conclusion
Implications
Limitations
