Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering

Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering

Copyright: © 2019 |Pages: 19
ISBN13: 9781522589037|ISBN10: 1522589031|EISBN13: 9781522589044
DOI: 10.4018/978-1-5225-8903-7.ch021
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MLA

Guraksin, Gur Emre. "Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering." Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 543-561. https://doi.org/10.4018/978-1-5225-8903-7.ch021

APA

Guraksin, G. E. (2019). Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering. In I. Management Association (Ed.), Biotechnology: Concepts, Methodologies, Tools, and Applications (pp. 543-561). IGI Global. https://doi.org/10.4018/978-1-5225-8903-7.ch021

Chicago

Guraksin, Gur Emre. "Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering." In Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 543-561. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8903-7.ch021

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Abstract

Along with the rise of artificial intelligence (AI), there are many different research fields gaining importance. Because of the growing amount of data and needs for immediate access to information for dealing with the problems, different types of research fields take place within the scientific community. Internet of things (IoT) is one of them, and it enables devices to communicate with each other in order to form a general network of physical, working devices. The objective of this chapter in this manner is to provide a general discussion of using nature-inspired techniques of AI to form the future of biomedical engineering over IoT. Because it is often thought that the medical services of the future will be based on autonomous machines supported with AI and IoT, discussing such a topic by considering biomedical engineering applications will be good for the related literature.

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