Yogesh Kumar Verma – författare
1 630 kr
Skickas inom 10-15 vardagar
2 319 kr
Läs direkt efter köp
1 714 kr
Kommande
918 kr
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The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries.
Discusses advanced concepts in the field of electro-optics devices for medical applications.
Presents optimization techniques including logical effort, particle swarm optimization and genetic algorithm to design Opto-VLSI devices and circuits.
Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment.
Covers advanced Opto-VLSI devices including a field-effect transistor and optical sensors, spintronic and photonic devices.
Highlights application of flexible electronics in health monitoring and artificial intelligence integration for better medical devices.
The text presents the advances in the fields of optics and VLSI and their applicability in diverse areas including biomedical engineering and the healthcare sector. It covers important topics such as FET biosensors, optical biosensors and advanced optical materials. It further showcases the significance of smart technologies such as artificial intelligence, machine learning and the internet of things for the biomedical and healthcare industries. It will serve as an ideal design book for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering and biomedical engineering.
918 kr
Läs direkt efter köp
The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries.
Discusses advanced concepts in the field of electro-optics devices for medical applications.
Presents optimization techniques including logical effort, particle swarm optimization and genetic algorithm to design Opto-VLSI devices and circuits.
Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment.
Covers advanced Opto-VLSI devices including a field-effect transistor and optical sensors, spintronic and photonic devices.
Highlights application of flexible electronics in health monitoring and artificial intelligence integration for better medical devices.
The text presents the advances in the fields of optics and VLSI and their applicability in diverse areas including biomedical engineering and the healthcare sector. It covers important topics such as FET biosensors, optical biosensors and advanced optical materials. It further showcases the significance of smart technologies such as artificial intelligence, machine learning and the internet of things for the biomedical and healthcare industries. It will serve as an ideal design book for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering and biomedical engineering.
1 911 kr
Skickas inom 10-15 vardagar
755 kr
Skickas inom 10-15 vardagar
1 841 kr
Skickas inom 10-15 vardagar
942 kr
Läs direkt efter köp
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.
909 kr
Läs direkt efter köp
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.