Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models

A hybrid hydrologic modelling framework with data-driven and conceptual reservoir operation schemes for reservoir impact assessment and predictions

(2023) Ningpeng Dong et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran

(2023) Mohammad Akbarian et al.   JOURNAL OF HYDROLOGY

Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin

(2023) Bulent Haznedar et al.   NATURAL HAZARDS

Performance Improvement of LSTM-based Deep Learning Model for Streamflow Forecasting Using Kalman Filtering

(2023) Fatemeh Bakhshi Ostadkalayeh et al.   WATER RESOURCES MANAGEMENT

Comparative Study for Daily Streamflow Simulation with Different Machine Learning Methods

(2023) Ruonan Hao et al.   Water

The Role of Data-Driven Methodologies in Weather Index Insurance

(2023) Luis F. Hernández-Rojas et al.   Applied Sciences-Basel

Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity

(2023) Karan Singh et al.   Modeling Earth Systems and Environment

Evaluating the Efficacy of Different DEMs for Application in Flood Frequency and Risk Mapping of the Indian Coastal River Basin

(2023) Parth Gangani et al.   Climate

The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

(2023) Vijendra Kumar et al.   Sustainability

Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances

(2023) Vijendra Kumar et al.   Hydrology

A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources

(2022) Vijendra Kumar et al.   Water Science and Technology-Water Supply

Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions

(2022) Zhuo Wang et al.   Journal of Manufacturing Processes

Hybrid particle swarm optimization and group method of data handling for short-term prediction of natural daily streamflows

(2022) Danilo P. M. Souza et al.   Modeling Earth Systems and Environment

Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

(2022) Karim Sherif Mostafa Hassan Ibrahim et al.   APPLIED INTELLIGENCE

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

(2022) Rana Muhammad Adnan et al.   APPLIED SOFT COMPUTING

Urban flood numerical simulation: Research, methods and future perspectives

(2022) Pingping Luo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Hybrid machine learning approaches enhanced with grey wolf optimization to the short-term prediction of natural daily streamflows

(2022) Alfeu D. Martinho et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method

(2022) Hejiang Cai et al.   JOURNAL OF HYDROLOGY

Improving Short-range Reservoir Inflow Forecasts with Machine Learning Model Combination

(2022) M. Rajesh et al.   WATER RESOURCES MANAGEMENT

Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for hydrological processes

(2022) Pravin Bhasme et al.   JOURNAL OF HYDROLOGY

Applied Machine Learning for Developing Next‐Generation Functional Materials

(2021) Filip Dinic et al.   ADVANCED FUNCTIONAL MATERIALS

Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data‐Sparse Regions With Ensemble Modeling and Soft Data

(2021) Dapeng Feng et al.   GEOPHYSICAL RESEARCH LETTERS

A review of data-driven modelling in drinking water treatment

(2021) Atefeh Aliashrafi et al.   REVIEWS IN ENVIRONMENTAL SCIENCE AND BIO-TECHNOLOGY

Flood modelling for a data-scare semi-arid region using 1-D hydrodynamic model: a case study of Navsari Region

(2021) Darshan J. Mehta et al.   Modeling Earth Systems and Environment

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

(2021) Omer San et al.   GAMM Mitteilungen

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

(2021) Rana Muhammad Adnan et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Improving streamflow prediction in the WRF-Hydro model with LSTM networks

(2021) Kyeungwoo Cho et al.   JOURNAL OF HYDROLOGY

Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments

(2021) Shijie Jiang et al.   WATER RESOURCES RESEARCH

Multi-objective reservoir operation of the Ukai reservoir system using an improved Jaya algorithm

(2021) Vijendra Kumar et al.   Water Science and Technology-Water Supply

A review on the applications of machine learning for runoff modeling

(2021) Babak Mohammadi   Sustainable Water Resources Management

Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction

(2020) Jayashree Chadalawada et al.   WATER RESOURCES RESEARCH

Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization

(2020) Shiyu Yang et al.   APPLIED ENERGY

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

(2020) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms

(2020) Hristos Tyralis et al.   NEURAL COMPUTING & APPLICATIONS

Functioning of the multilinear lag-cascade flood routing model as a means of transporting pollutants in the river

(2020) Jafar Chabokpour et al.   Water Science and Technology-Water Supply

Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management

(2020) Wen-jing Niu et al.   Sustainable Cities and Society

What Role Does Hydrological Science Play in the Age of Machine Learning?

(2020) Grey S. Nearing et al.   WATER RESOURCES RESEARCH

Physics-Informed Data-Driven Models to Predict Surface Runoff Water Quantity and Quality in Agricultural Fields

(2019) Jing Liang et al.   Water

Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features

(2019) Dan Yang et al.   IET Intelligent Transport Systems

A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources

(2019) Hristos Tyralis et al.   Water

Long-Term Electricity Supply and Demand Forecast (2018–2040): A LEAP Model Application towards a Sustainable Power Generation System in Ecuador

(2019) Luis Rivera-González et al.   Sustainability

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

Review and comparison of performance indices for automatic model induction

(2017) Jayashree Chadalawada et al.   JOURNAL OF HYDROINFORMATICS

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships

(2016) Robert P. Sheridan et al.   Journal of Chemical Information and Modeling

21st century drought outlook for major climate divisions of Texas based on CMIP5 multimodel ensemble: Implications for water resource management

(2016) Kartik Venkataraman et al.   JOURNAL OF HYDROLOGY

Regression and classification using extreme learning machine based on L1-norm and L2-norm

(2016) Xiong Luo et al.   NEUROCOMPUTING

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Temporal flood incidence forecasting for Segamat River (Malaysia) using autoregressive integrated moving average modelling

(2016) N.H. Ab Razak et al.   Journal of Flood Risk Management

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Artificial intelligence based models for stream-flow forecasting: 2000–2015

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Improving the representation of hydrologic processes in Earth System Models

(2015) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

Linking climate projections to performance: A yield-based decision scaling assessment of a large urban water resources system

(2014) Sean W. D. Turner et al.   WATER RESOURCES RESEARCH

Adapting California’s water management to climate change

(2011) Ellen Hanak et al.   CLIMATIC CHANGE

Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

(2011) R. Noori et al.   JOURNAL OF HYDROLOGY

Advancing representation of hydrologic processes in the Soil and Water Assessment Tool (SWAT) through integration of the TOPographic MODEL (TOPMODEL) features

(2011) Ji Chen et al.   JOURNAL OF HYDROLOGY

Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty

(2011) Srikanth Ryali et al.   NEUROIMAGE

Spatial scaling in a changing climate: A hierarchical bayesian model for non-stationary multi-site annual maximum and monthly streamflow

(2010) Carlos H.R. Lima et al.   JOURNAL OF HYDROLOGY

Flow forecast by SWAT model and ANN in Pracana basin, Portugal

(2008) Mehmet C. Demirel et al.   ADVANCES IN ENGINEERING SOFTWARE