Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Deepika Khurana"'
Publikováno v:
MethodsX, Vol 10, Iss , Pp 102152- (2023)
Neural Network Algorithm (NNA) is a recently proposed Metaheuristic that is inspired by the idea of artificial neural networks. The performance of NNA on single-objective optimization problems is very promising and effective. In this article, a maide
Externí odkaz:
https://doaj.org/article/671fcc91bfd84ea29fa1cc93c3464acb
Publikováno v:
Indian Journal of Ophthalmology, Vol 70, Iss 7, Pp 2613-2615 (2022)
Externí odkaz:
https://doaj.org/article/13a41dbfe19046098ade703e6e95b109
Publikováno v:
Ophthalmic plastic and reconstructive surgery. 36(4)
To evaluate the efficacy of unilateral tarso-frontalis silicone sling without levator extirpation or disinsertion in dampening the jaw wink in patients with congenital ptosis associated with Marcus Gunn Jaw Winking synkinesis phenomenon.Retrospective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05430d7fe1769191f781c9e4b25e88a2
https://pubmed.ncbi.nlm.nih.gov/31880686
https://pubmed.ncbi.nlm.nih.gov/31880686
Autor:
M. P. SBhatia, Deepika Khurana
Publikováno v:
International Journal of Computer Applications. 71:9-12
Data Analysis plays an important role for understanding different events. Cluster Analysis is widely used data mining technique for knowledge discovery. Clustering has wide applications in the field of Artificial Intelligence, Pattern Matching, Image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e3482af25b7b58bcb05c921445e57ca
https://doi.org/10.5120/12352-8654
https://doi.org/10.5120/12352-8654
Publikováno v:
International Journal of Data Mining & Knowledge Management Process. 3:17-30
The k- Means clustering algorithm is an old algorithm that has been intensely researched owing to its ease and simplicity of implementation. Clustering algorithm has a broad attraction and usefulness in exploratory data analysis. This paper presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd9fb28127b5954eb4b29a7a28ef5db
https://doi.org/10.5121/ijdkp.2013.3302
https://doi.org/10.5121/ijdkp.2013.3302