Leveraging machine learning and low-cost hardware for economical wind-driven water level prediction
- Title
- Leveraging machine learning and low-cost hardware for economical wind-driven water level prediction
- Scientific Type
- غير معروف
- Journal volume
- in Press
- Collaboration type
- مشترك
- Publish Date
- March 29, 2024
- Participated Universities (Publication)
-
Alnoor University
- Scopus status
- In Scopus
- Scopus index year
- 2 024
- Scopus quarter
- 2
- Scopus citation score
- 3.099999905
- Clarivate status
- In Clarivate
- Clarivate index year
- 2 024
- Clarivate impafact
- 1.299999952
- Pub. Med. status
- Not In PubMed
- Author (Publication)
- علي إبراهيم احمد صالح
- Journal (Publication)
-
Service Oriented Computing and Applications
- Publisher (Publication)
-
Springer Nature
- ISSN
- 1863-2386
- Country (Publication)
-
United kingdom
- Country type
- عالمية
- College (Publication)
-
College of Health and Medical Technologies
- Departement (Publication)
-
Department of Medical laboratories techniques
- Media
-
Academic paper
Part of Leveraging machine learning and low-cost hardware for economical wind-driven water level prediction