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Mary C. Ngoma
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An Artificial Neural Network Model for Predicting Microbial-Induced Alteration of Rock Strength
O Kolawole, RH Assaad, MC Ngoma, O Ozotta
Geo-Congress 2023, 243-251, 2023
22023
Utilizing the particle swarm optimization algorithm for determining control parameters for civil structures subject to seismic excitation
CA Peckens, A Alsgaard, C Fogg, MC Ngoma, C Voskuil
Algorithms 14 (10), 292, 2021
22021
Coupled experimental assessment and machine learning prediction of mechanical integrity of MICP and cement paste as underground plugging materials
O Kolawole, RH Assaad, MP Adams, MC Ngoma, A Anya, G Assaf
Biogeotechnics 1 (2), 100020, 2023
12023
Exploration of the use of a proportional-integral-derivative controller for mitigation of seismic base excitation in civil structures
MC Ngoma, CA Peckens
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2022
12022
Assessment of nano-to-micro-scale geomechanical properties and their time-dependent behavior: Current status and progressive perspectives
MC Ngoma, O Kolawole
Rock Mechanics Bulletin, 100096, 2023
2023
Impact of Geomechanics on Hydrothermal Fluid Pathways in Enhanced Geothermal Systems: A Review
MC Ngoma, A Wamba Kenfack, O Kolawole, L Cavalcante
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2023-0187, 2023
2023
Sub-Core Scale Characterization of Microbial Invasion Impact in Carbonates: Implications for Mechanical Alteration
MC Ngoma, O Kolawole, MB Elinski, R Thomas, R LaGrand
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2023-0064, 2023
2023
Rock Mechanics Bulletin
MC Ngoma, O Kolawole
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Artiklar 1–8