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.
Sajal Agarwal & Ankur Kumar
Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications [EPUB ebook]
Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications [EPUB ebook]
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Bahasa Inggeris ● Format EPUB ● Halaman-halaman 218 ● ISBN 9781000932447 ● Penyunting Sajal Agarwal & Ankur Kumar ● Penerbit CRC Press ● Diterbitkan 2023 ● Muat turun 3 kali ● Mata wang EUR ● ID 9106770 ● Salin perlindungan Adobe DRM
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