Digital Twin-Enabled Solution for Smart City Applications-Reference-Cited by-同舟云学术

Digital Twin-Enabled Solution for Smart City Applications

Published:2024 Issue: Volume: Page:259-280
ISSN:
Container-title:Transforming Industry using Digital Twin Technology
language:en
Short-container-title:

Author:

Whig Pawan,Kasula Balaram Yadav,Bhatia Ashima Bhatnagar,Nadikattu Rahul Reddy,Sharma Pavika

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-58523-4_13

Reference31 articles.

1. Alkali, Y., Routray, I., & Whig, P. (2022). Strategy for reliable, efficient and secure IoT using artificial intelligence. IUP Journal of Computer Sciences, 16(2), 16–25.

2. Anand, M., Velu, A., & Whig, P. (2022). Prediction of loan behaviour with machine learning models for secure banking. Journal of Computer Science and Engineering (JCSE), 3(1), 1–13.

3. Chopra, G., & Whig, P. (2022). A clustering approach based on support vectors. International Journal of Machine Learning for Sustainable Development, 4(1), 21–30.

4. Jupalle, H., Kouser, S., Bhatia, A. B., Alam, N., Nadikattu, R. R., & Whig, P. (2022). Automation of human behaviors and its prediction using machine learning. Microsystem Technologies, 28, 1–9.

5. Khera, Y., Whig, P., & Velu, A. (2021). Efficient effective and secured electronic billing system using AI. Vivekananda Journal of Research, 10, 53–60.

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