Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
T Rajaee, S Khani, M Ravansalar - Chemometrics and Intelligent …, 2020 - Elsevier
The need for accurate predictions of water quality in rivers has encouraged researchers to
develop new methods and to improve the predictive ability of conventional models. In recent …
develop new methods and to improve the predictive ability of conventional models. In recent …
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
BB Hazarika, D Gupta - Applied Soft Computing, 2020 - Elsevier
Researchers around the world are applying various prediction models for COVID-19 to
make informed decisions and impose appropriate control measures. Because of a high …
make informed decisions and impose appropriate control measures. Because of a high …
Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art
T Rajaee, H Jafari - Journal of Hydrology, 2020 - Elsevier
Simulation approaches employed in sediment processes are important for watershed
management and environmental impact assessment. Use of Stochastic models that based …
management and environmental impact assessment. Use of Stochastic models that based …
Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction
Forecasting the sediment load in a river is difficult due to different parameters viz., heavy
rainfall and precipitation, tropical climate, transportation of sediment, and so on. The wavelet …
rainfall and precipitation, tropical climate, transportation of sediment, and so on. The wavelet …
Assessment of sediment load concentration using SVM, SVM-FFA and PSR-SVM-FFA in arid watershed, India: a case study
S Samantaray, A Sahoo, DK Ghose - KSCE Journal of Civil Engineering, 2020 - Springer
Improvement in area of artificial intelligence for predicting different hydrological
phenomenon has shaped an enormous alteration in predictions. Knowledge on suspended …
phenomenon has shaped an enormous alteration in predictions. Knowledge on suspended …
Sediment deposition and distribution modelling in reservoirs: current trends and prospects
Global and regional challenges related to river basin water scarcity can effectively be
managed through improved reservoir operations and reservoir sedimentation control. It is a …
managed through improved reservoir operations and reservoir sedimentation control. It is a …
Determination of flow, solute transport and thermal parameters of silty and sandy soil using laboratory infiltration experiments.
M Nakhaei - Hydrogeology, 2020 - hydro.tabrizu.ac.ir
Modeling the process of water flow, heat transfer and transmission of soil contamination
requires hydraulic parameters, thermal conductivity and dispersion coefficient in soil. The …
requires hydraulic parameters, thermal conductivity and dispersion coefficient in soil. The …
Effectiveness Assessment of Suspended Sediment Load Estimation Methods in the Ghar Chai River
A Moradinejad, D Davod Maghami, M Moradi - Environment and Water …, 2020 - jewe.ir
Estimation of sediment load in rivers is one of the most important and applicable issues in
studies and design of river and water engineering projects. Therefore, identification and …
studies and design of river and water engineering projects. Therefore, identification and …