Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ahmad Heidary-Sharifabad"'
Publikováno v:
مهندسی مخابرات جنوب, Vol 13, Iss 49, Pp 49-64 (2024)
Network function virtualization technology transforms hardware middleboxes into sets of software-based Virtual Network Function (VNF ) that can host the growing demand for latency-sensitive services at the fog-cloud computing-based networks. Dynamic
Externí odkaz:
https://doaj.org/article/9d338273bf154589a071675dab524b64
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107478- (2021)
This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often are eco
Externí odkaz:
https://doaj.org/article/00aa3f0570754387b4ed0c0df502218a
Publikováno v:
Data in Brief, Vol 38, Iss , Pp 107348- (2021)
This paper contains datasets related to the “An efficient deep learning model for cultivar identification of a pistachio tree” [1]. There are about 11 species of pistachio that often have a high commercial and economic value in Iran and United St
Externí odkaz:
https://doaj.org/article/1369d704453648619eef08bf07e4761f
DSPVR: dynamic SFC placement with VNF reuse in Fog-Cloud Computing using Deep Reinforcement Learning
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:3981-3994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ccfe46fbec9ef5b3c5c517bde4edf66
https://doi.org/10.1007/s12652-022-04465-w
https://doi.org/10.1007/s12652-022-04465-w
Publikováno v:
International Journal of Computational Intelligence and Applications. 21
A large training sample is prerequisite for the successful training of each deep learning model for image classification. Collecting a large dataset is time-consuming and costly, especially for plants. When a large dataset is not available, the chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d6ef0c5b5021d000aedc189af462ed2
https://doi.org/10.1142/s1469026822500055
https://doi.org/10.1142/s1469026822500055
Publikováno v:
Data in Brief, Vol 39, Iss, Pp 107478-(2021)
Data in Brief
Data in Brief
This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often are eco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c6d80a6eb083ba8106af4a20fd75902
http://www.sciencedirect.com/science/article/pii/S2352340921007599
http://www.sciencedirect.com/science/article/pii/S2352340921007599