Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Abdellah El zaar"'
This paper proposes a novel algorithm that accurately predicts market trends and trading entry points for US 30-year-treasury bonds using a hybrid approach of 1-Dimensional Convolutional Neural Network (1DCNN), Long-Short Term Memory (LSTM), and XGBo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3adac2813387ad13367898bbb6d9fc6
https://doi.org/10.22541/au.168079685.52841217/v1
https://doi.org/10.22541/au.168079685.52841217/v1
Autor:
Abdellah El zaar, Ayoub Aoulalay, Nabil Benaya, Abderrahim El mhouti, Mohammed Massar, Abderrahim El allati
Publikováno v:
E3S Web of Conferences, Vol 336, p 00065 (2022)
The accumulation of plastic objects in the Earth’s environment will adversely affect wildlife, wildlife habitat, and humans. The huge amount of unrecycled plastic ends up in landfill and thrown into unregulated dump sites. In many cases, specifical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::674f2af6d8d77d52784723b8c437f7ac
https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/03/e3sconf_icegc2022_00065.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/03/e3sconf_icegc2022_00065.pdf
Publikováno v:
E3S Web of Conferences. 351:01065
In this paper we present a high performance Deep Learning architecture based on Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable of recognizing and analyzing with high accuracy different Sign language datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4811bc2e2b7ebeab539145c0d050090b
https://doi.org/10.1051/e3sconf/202235101065
https://doi.org/10.1051/e3sconf/202235101065