Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge
- 12h 32m
- Dac-Nhuong Le, Deepika Koundal, Neeraj Dahiya, Surjeet Dalal, Vivek Jaglan
- John Wiley & Sons (US)
- 2024
The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies.
Readers will discover that in Reshaping Intelligent Business and Industry:
- The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities;
- How the center and the network's edge generate predictive analytics or anomaly alerts;
- The meaning of AI at the edge and IoT networks.
- How bandwidth is reduced and privacy and security are enhanced;
- How AI applications increase operating efficiency, spawn new products and services, and enhance risk management;
- How AI and IoT create 'intelligent' devices and how new AI technology enables IoT to reach its full potential;
- Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers’ privacy while effectively utilizing data.
About the Author
Surjeet Dalal, PhD, is an associate professor in the Depar tment of Computer Science & Engineering at SR M Universit y, Har yana, India. His current research areas are ar tif icial intelligence, cloud computing, and IoT. He has published t wo cloud computing books and published 20+ papers in international jour nals.
Neeraj Dahiya, PhD, is an assistant professor in the Depar tment of Computer Science & Engineering, SR M University, Har yana, India. His research areas include artificial intelligence, machine learning, speech processing, etc. Along with publishing research papers, Dahiya has four patents in artif icial intelligence and machine lear ning.
Vivek Jaglan, PhD, is a professor at the DPG Institute of Technology and Management, Haryana, India. His research areas include artificial intelligence, neural networks & fuzzy logic, and IoT. Jaglan has published one book on cloud computing, 30+ papers in national/international journals, and 40+ papers for national and international conferences.
Deepika Koundal, PhD, is an assistant professor at the University of Petroleum and Energy St udies,Dehradun, India. Her areas of interest are ar tif icial intelligence, biomedical imaging and signals, image processing, etc. She has published two books and 40+ research papers in international jour nals.
Dac-Nhuong Le, PhD, obtained his doctorate in computer science from Vietnam National University, Vietnam in 2015. He is deputy head of the Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedicine. He has over 50 publications and edited/authored many computer science books with the Wiley-Scrivener imprint.
In this Book
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Foreword
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Preface
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Acronyms
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Artificial Intelligence Overview: Architecture, Applications and Challenges
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Video Analytics Using Deep Learning Models
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Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems
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The Need for XAI: Challenges and Its Applications
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Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry
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A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics
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Machine Learning Approach for Predicting the Price of Used Cars
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Recent Industry-Defined and Domain-Specific IoT Architectures
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IoT Devices
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IoT Securities: Applications, Security Issues and Solutions Using Diverse Technologies
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FAMoS: Smart Farm Automatic Monitoring System
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IoT-Based Module to Control Electronic Devices Through Wi-Fi and Bluetooth
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An Insight into the IoT Building Blocks: Architecture, Framework, Principles, Applications and Challenges
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Interoperability: A Conceptual Framework
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Securing IoT Devices Against MITM and DoS Attacks: An Analysis
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AIoT-Based Smart Cities
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Integrating Artificial Intelligence and IoT for Smart Cities: Applications and Challenges
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A Comprehensive Review of the Convergence of Blockchain, AI and IoT for Improving Social Interactions
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AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste
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AIoT in the Education Sector
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Artificial Intelligence of Things (AIoT)-Enabled Personalized Banking: Investigating Intention to Adopt
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AI- and IoT-Enabled Healthcare Applications: A Review
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An Extensive Survey of AIoT in Healthcare: Applications, Challenges and Future Opportunities
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AI- and IoT-Based Face Recognition Model for Identification of Human Diseases
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IoT in the Medical Field
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Using Deep Learning to Characterize Persistent Physiological Parameters in Patient Monitoring Systems
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Smart Agriculture System Using Artificial Intelligence and Internet of Things
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Application of AI and IoT in Agriculture
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Traffic Management System Using AIoT
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Autonomous Vehicles: A Convergence Application of AI and IoT
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Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios
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Artificial Intelligence of Things (AIoT) for Intelligent Data Design
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A Study of Implementation of Blockchain Technology in Land Registration: A SWOT Analysis
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Smart Mask Disinfection System (SMDS)
