Coupling Discriminating Statistical Analysis and Artificial Intelligence for Geotechnical Characterization of the Kampemba’s Municipality Soils (Lubumbashi, DR Congo)

ISSN Print: 2161-7538
ISSN Online: 2161-7546
www.scirp.net/journal/gm
E-mail: [email protected]

Citations

"Coupling Discriminating Statistical Analysis and Artificial Intelligence for Geotechnical Characterization of the Kampemba’s Municipality Soils (Lubumbashi, DR Congo)"
written by Kavula Ngoy Elysée, Kasongo wa Mutombo Portance, Libasse Sow, Ngoy Biyukaleza Bilez, Kavula Mwenze Corneille, Tshibwabwa Kasongo Obed,
published by Geomaterials, Vol.10 No.3, 2020

has been cited by the following article(s):

[1]	Dispersal Mechanisms of Trace Metal Elements in the Environment: The Case of Mineral Wastes Stored in Tshamilemba District of the City of Lubumbashi …
	Sustainability, 2023

[2]	Experimental campaign for the physical, mechanical and chemical characterisation of the Matam soil: application to the study of supports of the Balterdi Bridge
	2021

[3]	Experimental geotechnical characterization campaign of the Matam soil for lithology: application to the study of supports of the Balterdi Bridge
	Open Journal of Civil …, 2021

[1]	Dispersal Mechanisms of Trace Metal Elements in the Environment: The Case of Mineral Wastes Stored in Tshamilemba District of the City of Lubumbashi, DR Congo Sustainability, 2023 DOI:10.3390/su15054476

[2]	Experimental Geotechnical Characterization Campaign of the Matam Soil for Lithology: Application to the Study of Supports of the Balterdi Bridge Open Journal of Civil Engineering, 2021 DOI:10.4236/ojce.2021.112013

[3]	Experimental campaign for the physical, mechanical and chemical characterisation of the Matam soil: application to the study of supports of the Balterdi Bridge Innovative Infrastructure Solutions, 2021 DOI:10.1007/s41062-021-00581-2