A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation. - Vahid Nourani; Mohammad Taghi Aalami; Mohammad H. Aminfar (Eng. Appl. Artif. Intell., 2009)

Sensitivity analysis of the artificial neural network outputs in simulation of the evaporation process at different climatologic regimes. - Vahid Nourani; Mina Sayyah Fard (Adv. Eng. Softw., 2012)

Integrated ANN model for earthfill dams seepage analysis: Sattarkhan Dam in Iran. - Vahid Nourani; Elnaz Sharghi; Mohammad H. Aminfar (Artif. Intell. Res., 2012)

ANN-RBF Hybrid Model for Spatiotemporal Estimation of Monthly Precipitation Case Study: Ardabil Plain. - Vahid Nourani; Ehsan Entezari; Peyman Yousefi (Int. J. Appl. Metaheuristic Comput., 2013)

Using Hybrid ARIMAX-ANN Model for Simulating Rainfall - Runoff - Sediment Process Case Study: Aharchai Basin, Iran. - Vahid Nourani; Samira Roumianfar; Elnaz Sharghi (Int. J. Appl. Metaheuristic Comput., 2013)

Integration of Artificial Neural Networks with Radial Basis Function Interpolation in Earthfill Dam Seepage Modeling. - Vahid Nourani; Ali Babakhani (J. Comput. Civ. Eng., 2013)

Wavelet Based Artificial Intelligence Approaches for Prediction of Hydrological Time Series. - Vahid Nourani; Gholamreza Andalib (ACALCI, 2015)

A Pareto-optimal moving average-multigene genetic programming model for rainfall-runoff modelling. - Ali Danandeh Mehr; Vahid Nourani (Environ. Model. Softw., 2017)

Estimation of Suspended Sediment Load Using Artificial Intelligence-Based Ensemble Model. - Vahid Nourani; Hüseyin Gökçekus; Gebre Gelete (Complex., 2021)

Using Hybrid Wavelet-Exponential Smoothing Approach for Streamflow Modeling. - Vahid Nourani; Hessam Najafi; Alireza Babaeian Amini; Hitoshi Tanaka (Complex., 2021)

The utility of a hybrid GEOMOD-Markov Chain model of land-use change in the context of highly water-demanding agriculture in a semi-arid region. - Soghra Andaryani; Sean Sloan; Vahid Nourani; Hamidreza Keshtkar (Ecol. Informatics, 2021)

Investigation of climate, land cover and lake level pattern changes and interactions using remotely sensed data and wavelet analysis. - Vahid Nourani; Roshanak Tootoonchi; Soghra Andaryani (Ecol. Informatics, 2021)

Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion. - Vahid Nourani; Hüseyin Gökçekus; Tagesse Gichamo (Earth Sci. Informatics, 2021)

Spatiotemporal Clustering of Groundwater Depth in Ardabil Plain. - Vahid Nourani; Mahya Gholizadeh Ansari; Parnian Ghaneei (ICHSA, 2022)

Multi-Step-Ahead Forecasting of Groundwater Level Using Model Ensemble Technique. - Vahid Nourani; Parnian Ghaneei; Elnaz Sharghi (ICHSA, 2022)

Assessing the Performance of a Machine Learning-Based Hybrid Model in Downscaling Precipitation Data. - Nazak Rouzegari; Vahid Nourani; Ralf Ludwig; Patrick Laux (ICHSA, 2022)

The Accuracy of Precipitation Forecasts at Timescales of 1-15 Days in the Volta River Basin. - Mekonnen Gebremichael; Haowen Yue; Vahid Nourani (Remote. Sens., 2022)

Z-numbers based novel method for assessing groundwater specific vulnerability. - Sana Maleki; Vahid Nourani; Hessam Najafi; Aida Hosseini Baghanam; Chang-Qing Ke 001 (Eng. Appl. Artif. Intell., 2023)

GEDI: A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau. - Juan Wu; Changqing Ke 001; Yu Cai 006; Vahid Nourani; Jun Chen; Zheng Duan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Glacier Retreating Analysis on the Southeastern Tibetan Plateau via Multisource Remote Sensing Data. - Yao Xiao; Changqing Ke 001; Yu Cai 006; Xiaoyi Shen; Zifei Wang; Vahid Nourani; Lhakpa Drolma (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Collective dynamics analysis based on the multiplex network method to unravel the backbone of fluctuations in groundwater level data. - Leyla Naghipour; Mohammad Taghi Aalami; Vahid Nourani (Comput. Geosci., 2023)

A Z-number based multi-attribute decision-making algorithm for hydro-environmental system management. - Vahid Nourani; Hessam Najafi (Neural Comput. Appl., 2023)

An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment. - Ibrahim Khalil Umar; Vahid Nourani; Hüseyin Gökçekus; Sani Isah Abba (Soft Comput., 2023)

Multi-step ahead suspended sediment load modeling using machine learning- multi-model approach. - Gebre Gelete; Vahid Nourani; Hüseyin Gökçekus; Tagesse Gichamo (Earth Sci. Informatics, 2024)

Uncertainty quantification in sequential hybrid deep transfer learning for solar irradiation predictions. - Vahid Nourani; Nazanin Behfar; Martijn J. Booij; Anne Ng; Chunwei Zhang; Sepideh Mohammadisepasi (Eng. Appl. Artif. Intell., 2025)

Advanced 3D abrasion mapping in sediment bypass tunnels using XGBoost: A high-dimensional approach to predictive modeling. - Ahmed Emara; Sameh Ahmed Kantoush; Mohamed Saber; Tetsuya Sumi; Vahid Nourani; Emad Mabrouk (Expert Syst. Appl., 2025)

Developing long short-term memory combined with numerical first order differential optimization and clockwork recurrent neural network to predict suspended sediment load. - Milad Sharafi; Sadra Shadkani; Amirreza Pak; Alireza Motadayen; Saeed Samadianfard; Egemen Aras; Vahid Nourani (Earth Sci. Informatics, 2025)

S-Transformer: a new deep learning model enhanced by sequential transformer encoders for drought forecasting. - Ali Danandeh Mehr; Amir Aminzadeh Ghavifekr; Elman Ghazaei; Mir Jafar Sadegh Safari; Chang-Qing Ke 001; Vahid Nourani (Earth Sci. Informatics, 2025)

Evolution of ensemble machine learning approaches in water resources management: a review. - Moein Tosan; Vahid Nourani; Ozgur Kisi; Mehdi Dastourani (Earth Sci. Informatics, 2025)