Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bahija Alabjah"'
Publikováno v:
Mining of Mineral Deposits. 15:31-38
Purpose.This article proposes to analyze and determine the mining design for shallow-dip deposits hosted in poor quality rock. Methods. We used the UBC tool to find the optimal exploitation method, the Rock mass rating (RMR) and Q-system (Q) to deter
Autor:
Bahija Alabjah, Abdeslam Taleb, Madark Mhamed, Ayoub Nafii, Nouhaila Mazigh, Khalid Teznine, Ali El Bilali, Youssef Brouzyine, Mohammed Moukhliss
Prediction-based approaches are valuable in assessing dam safeties, as they allow comparing the actual measurements with the projected values to detect anomalies early. For two decades, machine learning (ML) algorithms have been developed and improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ed12e9de3f3235b62fd0b7cc52996e7
https://doi.org/10.21203/rs.3.rs-947164/v1
https://doi.org/10.21203/rs.3.rs-947164/v1
Autor:
Ali El Bilali, Mohammed Moukhliss, Abdeslam Taleb, Ayoub Nafii, Bahija Alabjah, Youssef Brouziyne, Nouhaila Mazigh, Khalid Teznine, Madark Mhamed
Publikováno v:
Environmental science and pollution research international. 29(31)
Dam safety assessment is important to implement the appropriate measures to avoid a dam break disaster as part of the water reservoirs management process. Prediction-based approaches are valuable to compare the actual measurements with the simulated
Publikováno v:
Environmental Technology & Innovation. 23:101641
Geophysical methods are laborious for monitoring the extent of the seawater intrusion (SWI) in coastal aquifers and water quality over time. However, the data-based approach can be valuable to overcome this challenge by predicting the chloride concen