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Full Description
The book analyzes the use of smart medical devices that use artificial intelligence and machine learning to analyze medical images, detect diseases, and assist in diagnosis. It further focuses on real-world applications of artificial intelligence and machine learning in smart electronic devices, demonstrating how these technologies are being used in various industries, such as healthcare, automotive, finance, and consumer electronics.
Features:
Explores how cloud and edge computing work together to enhance the capabilities and performance of smart devices, enabling a seamless user experience and facilitating the growth of the Internet of Things ecosystem.
Discusses the use of smart devices within a smart home system, exploring the seamless connectivity, interoperability, and centralized control.
Explains the advancements in smart traffic management and smart parking systems, which leverage cutting-edge technologies to address the growing challenges of urban mobility.
Surveys the growing importance of smart energy management and the integration of renewable energy sources in the pursuit of a sustainable and eco-friendly energy landscape.
Covers the dynamic relationship between the adoption of smart devices and artificial intelligence technologies, and the diverse regulatory frameworks governing these innovations.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics, and communications engineering, computer science and engineering, and biomedical engineering.
Contents
Chapter 1. AI for Smart Agriculture. Chapter 2. IoT Empower: Your One-Stop Device Manager. Chapter 3. AI and IOT Integration for Smart Agriculture. Chapter 4. Hardware Prototype of RIW Algorithm on FPGA and P-SoC Platform: A Trade-off between Resource and Time Constraint. Chapter 5. Framework for UAV based Wireless Power Harvesting. Chapter 6. Smart Healthcare Devices. Chapter 7. Envisioning Tomorrow: Exploring the Future of Smart Electronic Devices: AI, ML. Chapter 8. Exploring Deep Learning Methods for detecting heart Abnormalities by analysing heart sound. Chapter 9. Advancements in Wearable Devices and Machine Learning for Disease Identification and Management: A Comprehensive Survey. Chapter 10. Blockchain and Machine learning based User Authentication for Healthcare system. Chapter 11. Smart Text Extraction System for Bank Cheque Images using DWT and Dynamic Thresholding. Chapter 12. Vehicle Accident Detection and Smart Notification Systems. Chapter 13. HEMT Biosensors Integrated with AI and ML for IoT Devices. Chapter 14. Beamforming and its Significance. Chapter 15. Exploring the Evolution of Artificial Intelligence Methods: Tracing the Path from Traditional to Contemporary Approaches. Chapter 16. Sustainable Computing, Greener Design for Computer Server Systems and Softwares. Chapter 17. IoMT: The Key to Affordable and Accessible Healthcare for All. Chapter 18. Next Generation Cyber Security System in Integration with Artificial Intelligence and Blockchain
