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Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities

Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities

Huma Khan, Vivek Veeraiah, Vipin Jain, Avinash Rajkumar, Ganesh Kumar R., Ankur Gupta, Digvijay Pandey
Copyright: © 2023 |Pages: 24
ISBN13: 9781668464083|ISBN10: 166846408X|ISBN13 Softcover: 9781668464090|EISBN13: 9781668464106
DOI: 10.4018/978-1-6684-6408-3.ch013
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MLA

Khan, Huma, et al. "Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities." Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities, edited by Sabyasachi Pramanik and K. Martin Sagayam, IGI Global, 2023, pp. 238-261. https://doi.org/10.4018/978-1-6684-6408-3.ch013

APA

Khan, H., Veeraiah, V., Jain, V., Rajkumar, A., R., G. K., Gupta, A., & Pandey, D. (2023). Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities. In S. Pramanik & K. Sagayam (Eds.), Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities (pp. 238-261). IGI Global. https://doi.org/10.4018/978-1-6684-6408-3.ch013

Chicago

Khan, Huma, et al. "Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities." In Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities, edited by Sabyasachi Pramanik and K. Martin Sagayam, 238-261. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6408-3.ch013

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Abstract

These days, many CS experts focus their efforts on IoT. IoT is an emerging & cutting-edge technology that enables many items, including vehicles and home appliances, to connect and cooperate via mechanisms like machine to machine communication, big data, and AI. It has found use in a wide range of settings, from smart homes and cities, to healthcare and agriculture, to factory automation. Smart cities are becoming smarter, cars are getting more features, and health and fitness devices are getting more sophisticated thanks to the internet of things. Many problems that are directly relevant to the IoT's development have yet to be resolved. The exponential development of IoT has given birth to new problems, including concerns about personal data and security. There is need of a comprehensive approach that tackles the scalability, security, efficiency, and privacy concerns raised by the widespread deployment of IoT.

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