Machine Learning Based Statistical Tools Estimation for Rainfall Forecasting for Smart Cites-Reference-Cited by-同舟云学术

Machine Learning Based Statistical Tools Estimation for Rainfall Forecasting for Smart Cites

Published:2024 Issue: Volume: Page:295-308
ISSN:2197-6503
Container-title:Studies in Big Data
language:
Short-container-title:

Author:

Nuseir Mohammed T.^ORCID,Akour Iman^ORCID,Alzoubi Haitham M.^ORCID,Alshurideh Muhammad Tu rki^ORCID,Al Kurdi Barween^ORCID,AlHamad Ahmad Qasim Mohammad^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-31801-6_18

Reference80 articles.

1. Aftab, S., Ahmad, M., Hameed, N., Bashir, M. S., Ali, I., & Nawaz, Z. (2018a). Rainfall prediction using data mining techniques: A systematic literature review. International Journal of Advanced Computer Science and Applications, 9, 143–150.

2. Aftab, S., Ahmad, M., Hameed, N., Bashir, M. S., Ali, I., & Nawaz, Z. (2018b). Rainfall prediction in Lahore City using data mining techniques. International Journal of Advanced Computer Science and Applications, 9, 254–260.

3. Ahmad, M., & Aftab, S. (2017). Analyzing the performance of SVM for polarity detection with different datasets. International Journal of Modern Education and Computer Science, 9, 29–36.

4. Al-Tahat, S., & Moneim, O. A. (2020). The impact of artificial intelligence on the correct application of cyber governance in Jordanian commercial banks. International Journal of Scientific & Technology Research, 9, 7138–7144.

5. Al Batayneh, R. M., Taleb, N., Said, R. A., Alshurideh, M. T., Ghazal, T. M., & Alzoubi, H. M. (2021). IT governance framework and smart services integration for future development of Dubai infrastructure utilizing AI and big data, its reflection on the citizens standard of living (pp. 235–247).