Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Claude Vidal"'
Publikováno v:
Applied Artificial Intelligence, Vol 34, Iss 11, Pp 792-815 (2020)
Artificial Neural Networks (ANNs) models play an increasingly significant role in accurate time series prediction tools. However, an accurate time series forecasting using ANN requires an optimal model. Hence, great forecasting methods have been deve
Externí odkaz:
https://doaj.org/article/242fa57c15814f55b174ef852c5b1e18
Publikováno v:
In Tribology International November 2021 163
Autor:
Harrison, Ambe, Dieu Nguimfack-Ndongmo, Jean de, Alombah, Njimboh Henry, Aloyem Kazé, Claude Vidal, Kuate-Fochie, René, Asoh, Derek Ajesam, Nfah, Eustace Mbaka
Publikováno v:
International Journal of Dynamics & Control; May2024, Vol. 12 Issue 5, p1598-1615, 18p
Publikováno v:
E3S Web of Conferences, Vol 354, p 03008 (2022)
The problem of food loss due to lack of proper conservation and preservation scheme is pertinent. In an attempt to reduce such losses, the agronomic sector is constantly innovating with technological accessories to solve the related problem. The prob
Externí odkaz:
https://doaj.org/article/1bdaab82259d403cbbbdc5ea54a54640
Autor:
Kuefouet Lontsi Alexis, Djousse Kanouo Boris Merlain, Tangka Julius Kewir, Aloyem Kazé Claude Vidal, Grisseur Djoukeng Henri
Publikováno v:
E3S Web of Conferences, Vol 354, p 02010 (2022)
The proposed work consists of a comparative analysis of a model of a hybrid solar PV/T waterborne system using monocrystalline, polycrystalline and amorphous silicon solar modules. In this work, we have highlighted that the design of a PV/T waterborn
Externí odkaz:
https://doaj.org/article/737e3d5728124a54b4bba848f3919ca0
Publikováno v:
E3S Web of Conferences, Vol 354, p 02009 (2022)
According to 2020 World Bank report, just 64.7% of Cameroon’s population have access to electricity with only 80% of the supply concentrated in urban areas having persistent power outages throughout the country especially in the dry season. From th
Externí odkaz:
https://doaj.org/article/5a9a0c6774264a7a958baa838622ff42
Publikováno v:
E3S Web of Conferences, Vol 354, p 01007 (2022)
Remote areas are known for lack of conventional electrical power supply. But it is a common phenomenon to find health centres in remote areas, where vaccination campaigns are done regularly. Due to small populations, vaccines opened cannot be complet
Externí odkaz:
https://doaj.org/article/65846029c9c4447eae5f5ccc235f1286
Publikováno v:
Wind Engineering. 46:780-795
This paper investigates six of the most widely used wind speed forecasting models for a combination of statistical and physical methods for the purpose of Wind Turbine Power Generation (WTPG) prediction in Cameroon. Statistical method based on both s
Autor:
Fogno Fotso, Hervice Roméo1 (AUTHOR) hervicefogno@yahoo.fr, Aloyem Kazé, Claude Vidal2 (AUTHOR), Kenmoe, Germaine Djuidje1 (AUTHOR)
Publikováno v:
Applied Artificial Intelligence. 2020, Vol. 34 Issue 11, p792-815. 24p.
Publikováno v:
International Journal of Energy and Environmental Engineering. 13:43-56
Accurate wind speed forecasting is imperative for producing wind power integration. Thus, this paper presents a novel combined ARIMA—artificial neural network (ANN) forecasting model based on improved relationships between the wind speed and other