Predicting new crescent moon visibility applying machine learning algorithms.
Saved in:
| Title: | Predicting new crescent moon visibility applying machine learning algorithms. |
|---|---|
| Authors: | Al-Rajab M; College of Engineering, Abu Dhabi University, Abu Dhabi, UAE. murad.al-rajab@adu.ac.ae., Loucif S; College of Technological Innovation, Zayed University, Abu Dhabi, UAE., Al Risheh Y; College of Engineering, Abu Dhabi University, Abu Dhabi, UAE. |
| Source: | Scientific reports [Sci Rep] 2023 Apr 24; Vol. 13 (1), pp. 6674. Date of Electronic Publication: 2023 Apr 24. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-023-32807-x |
