Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Shrestha, Anup"'
The rapid advancement of machine learning techniques has led to their widespread application in various domains including water resources. However, snowmelt modeling remains an area that has not been extensively explored. In this study, we propose a
Externí odkaz:
http://arxiv.org/abs/2404.13327
Autor:
Mohammed Abdul, Shezon Saleem1 (AUTHOR) anup.shrestha@usq.edu.au, Shrestha, Anup1 (AUTHOR), Yong, Jianming1 (AUTHOR)
Publikováno v:
Future Internet. Sep2024, Vol. 16 Issue 9, p314. 33p.
Migration legacy systems to cloud platforms is a knowledge intensive process. There is an ever increasing body of knowledge reporting empirical scenarios of successful and problematic cloud migration. Reusing this body of knowledge, dispersed and fra
Externí odkaz:
http://arxiv.org/abs/2202.07875
Publikováno v:
In Case Studies on Transport Policy September 2024 17
Publikováno v:
In The International Journal of Management Education November 2023 21(3)
Autor:
Saratchandra, Minu, Shrestha, Anup
Publikováno v:
Journal of Knowledge Management, 2022, Vol. 26, Issue 10, pp. 2668-2698.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JKM-06-2021-0421
Publikováno v:
In Technological Forecasting & Social Change February 2023 187
Autor:
Ali, Omar, Abdelbaki, Wiem, Shrestha, Anup, Elbasi, Ersin, Alryalat, Mohammad Abdallah Ali, Dwivedi, Yogesh K
Publikováno v:
In Journal of Innovation & Knowledge January-March 2023 8(1)
Publikováno v:
In International Journal of Information Management December 2022 67
Publikováno v:
In Transport Policy November 2022 128:38-51