The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review

B Beiranvand, T Rajaee - Advances in Engineering Software, 2022 - Elsevier
Failure of earth dams is one of the major challenges of civil engineering, one of the main
causes of which is uncontrolled seepage from the core and foundation of the dam. The use …

Estimating the density of deep eutectic solvents applying supervised machine learning techniques

M Abdollahzadeh, M Khosravi… - Scientific Reports, 2022 - nature.com
Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model

Q Dai, M Ishfaque, SUR Khan, YL Luo, Y Lei… - … Research and Risk …, 2024 - Springer
The research investigates the significance of identifying structure discontinuities, such as
cracks, in concrete dams to ensure dam safety and stability. A novel automatic image …

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction

RM Adnan, O Kisi, RR Mostafa, AN Ahmed… - Hydrological …, 2022 - Taylor & Francis
This paper focuses on the development of a robust accurate streamflow prediction model by
balancing the abilities of exploitation and exploration to find the best parameters of a …

Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture

UK Singh, M Jamei, M Karbasi, A Malik, M Pandey - Journal of Hydrology, 2022 - Elsevier
Exploration of incipient motion study is significantly important for the river hydraulics
community. The present study, along with experimental investigation, considered a new …

Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge …

A Malik, M Jamei, M Ali, R Prasad, M Karbasi… - Agricultural Water …, 2022 - Elsevier
Accurate ahead forecasting of reference evapotranspiration (ET o) is crucial for effective
irrigation scheduling and management of water resources on a regional scale. A variety of …

[HTML][HTML] Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model

M Karbasi, M Jamei, A Malik, O Kisi… - Agricultural Water …, 2023 - Elsevier
In the current study, the Standardized Precipitation Evaporation Index (SPEI) was forecasted
using a combination of the empirical wavelet transform (EWT), discrete wavelet transforms …

On the thermal conductivity assessment of oil-based hybrid nanofluids using extended kalman filter integrated with feed-forward neural network

M Jamei, IA Olumegbon, M Karbasi… - International Journal of …, 2021 - Elsevier
Regarding their ability to enhance conventional thermal oils' thermophysical properties, oil-
based hybrid nanofluids have recently been widely investigated by researchers, especially …

Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods

M Jamei, M Karbasi, IA Olumegbon… - Journal of Molecular …, 2021 - Elsevier
The quantitative determination of specific heat capacity (SHC) of molten (nitrate) salt-based
nanofluids helps to control the start-up heat and prevent overheating when deployed as a …