Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
Receiving more accurate predictions for longitudinal dispersion coefficients in water pipelines: training group method of data handling using extreme learning …
F Saberi-Movahed, M Najafzadeh… - Water Resources …, 2020 - Springer
Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
[HTML][HTML] Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks
Abstract Knowledge of pore-water pressure (PWP) variation is fundamental for slope
stability. A precise prediction of PWP is difficult due to complex physical mechanisms and in …
stability. A precise prediction of PWP is difficult due to complex physical mechanisms and in …
A reliable hybrid outlier robust non-tuned rapid machine learning model for multi-step ahead flood forecasting in Quebec, Canada
I Ebtehaj, H Bonakdari - Journal of Hydrology, 2022 - Elsevier
Reliable and accurate flood forecasting is a complex and challenging problem that is
essential for the creation of disaster preparedness plans to protect life and reduce economic …
essential for the creation of disaster preparedness plans to protect life and reduce economic …
Utilization of random vector functional link integrated with manta ray foraging optimization for effluent prediction of wastewater treatment plant
An innovative predictive model was employed to predict the key performance indicators of a
full-scale wastewater treatment plant (WWTP) operated with an activated sludge treatment …
full-scale wastewater treatment plant (WWTP) operated with an activated sludge treatment …
Support vector machines-based heart disease diagnosis using feature subset, wrapping selection and extraction methods
SMS Shah, FA Shah, SA Hussain, S Batool - Computers & Electrical …, 2020 - Elsevier
Heart disease is one of the leading causes of human death and in the absence of an
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …
Maximization of energy absorption for a wave energy converter using the deep machine learning
A controller is usually used to maximize the energy absorption of wave energy converter.
Despite the development of various control strategies, the practical implementation of wave …
Despite the development of various control strategies, the practical implementation of wave …
Estimation of time dependent scour depth around circular bridge piers: application of ensemble machine learning methods
Scour is a major issue which impacts the life of a hydraulic structure. In this work, we have
considered a bridge as an example of a hydraulic structure. Scour depth increases or …
considered a bridge as an example of a hydraulic structure. Scour depth increases or …
Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology
Biochemical oxygen demand (BOD), chemical oxygen demand (COD), total dissolved solids
(TDS) and total suspended solids (TSS) are the most commonly regulated wastewater …
(TDS) and total suspended solids (TSS) are the most commonly regulated wastewater …