On the public citation graph

Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model

https://doi.org/10.1007/s00477-020-01910-0
0 signed · 177 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/hyp.1176openalex-snapshot
Application of an optimization technique to a physically based erosion model
inferredcites →https://doi.org/10.1002/hyp.3360050107openalex-snapshot
On the extraction of channel networks from digital elevation data
inferredcites →https://doi.org/10.1002/hyp.5502openalex-snapshot
Identification of physical processes inherent in artificial neural network rainfall runoff models
inferredcites →https://doi.org/10.1002/hyp.5581openalex-snapshot
Rainfall‐runoff modelling using artificial neural networks: comparison of network types
inferredcites →https://doi.org/10.1002/hyp.5932openalex-snapshot
Rainfall-runoff modelling using artificial neural networks technique: a Blue Nile catchment case study
inferredcites →https://doi.org/10.1002/hyp.7266openalex-snapshot
M5 model tree based modelling of reference evapotranspiration
inferredcites →https://doi.org/10.1002/hyp.9749openalex-snapshot
Curve‐Number/Green–Ampt mixed procedure for streamflow predictions in ungauged basins: Parameter sensitivity analysis
inferredcites →https://doi.org/10.1006/ijhc.1973.0303openalex-snapshot
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
inferredcites →https://doi.org/10.1007/978-1-4757-0450-1openalex-snapshot
Pattern Recognition with Fuzzy Objective Function Algorithms
inferredcites →https://doi.org/10.1007/978-981-10-8476-8_15openalex-snapshot
Three Different Adaptive Neuro Fuzzy Computing Techniques for Forecasting Long-Period Daily Streamflows
inferredcites →https://doi.org/10.1007/s00477-004-0186-4openalex-snapshot
Annual and monthly rainfall data generation schemes
inferredcites →https://doi.org/10.1007/s00477-006-0077-yopenalex-snapshot
A data-based regional scale autoregressive rainfall-runoff model: a study from the Odra River
inferredcites →https://doi.org/10.1007/s00477-008-0267-xopenalex-snapshot
Artificial neural network models for forecasting monthly precipitation in Jordan
inferredcites →https://doi.org/10.1007/s00477-012-0600-2openalex-snapshot
Quantification of the predictive uncertainty of artificial neural network based river flow forecast models
inferredcites →https://doi.org/10.1007/s00477-013-0695-0openalex-snapshot
Indian summer monsoon rainfall prediction using artificial neural network
inferredcites →https://doi.org/10.1007/s00477-013-0838-3openalex-snapshot
Copula entropy coupled with artificial neural network for rainfall–runoff simulation
inferredcites →https://doi.org/10.1007/s00477-015-1061-1openalex-snapshot
Daily precipitation predictions using three different wavelet neural network algorithms by meteorological data
inferredcites →https://doi.org/10.1007/s00477-016-1273-zopenalex-snapshot
Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model
inferredcites →https://doi.org/10.1007/s00477-016-1369-5openalex-snapshot
Methods used for quantifying the prediction uncertainty of artificial neural network based hydrologic models
inferredcites →https://doi.org/10.1007/s00477-018-1536-yopenalex-snapshot
River flow modelling: comparison of performance and evaluation of uncertainty using data-driven models and conceptual hydrological model
inferredcites →https://doi.org/10.1007/s00477-018-1560-yopenalex-snapshot
Monthly runoff forecasting based on LSTM–ALO model
inferredcites →https://doi.org/10.1007/s00477-018-1585-2openalex-snapshot
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
inferredcites →https://doi.org/10.1007/s00477-018-1638-6openalex-snapshot
Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes
inferredcites →https://doi.org/10.1007/s00477-019-01651-9openalex-snapshot
Multiple streamflow time series modeling using VAR–MGARCH approach
inferredcites →https://doi.org/10.1007/s00477-019-01652-8openalex-snapshot
Fuzzy time series for real-time flood forecasting
inferredcites →https://doi.org/10.1007/s00477-019-01734-7openalex-snapshot
A comparative study of models for short-term streamflow forecasting with emphasis on wavelet-based approach
inferredcites →https://doi.org/10.1007/s00477-019-01749-0openalex-snapshot
Break of temporal symmetry in a stationary Markovian setting: evidencing an arrow of time, and parameterizing linear dependencies using fractional low-order joint moments
inferredcites →https://doi.org/10.1007/s00477-019-01761-4openalex-snapshot
Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series
inferredcites →https://doi.org/10.1007/s00477-020-01766-4openalex-snapshot
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
inferredcites →https://doi.org/10.1007/s11053-018-09450-9openalex-snapshot
Multi-region Modeling of Daily Global Solar Radiation with Artificial Intelligence Ensemble
inferredcites →https://doi.org/10.1007/s11269-009-9414-5openalex-snapshot
A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling
inferredcites →https://doi.org/10.1007/s11269-009-9535-xopenalex-snapshot
Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree
inferredcites →https://doi.org/10.1007/s11269-012-9982-7openalex-snapshot
River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches
inferredcites →https://doi.org/10.1007/s11269-016-1408-5openalex-snapshot
Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence
inferredcites →https://doi.org/10.1007/s11269-018-2033-2openalex-snapshot
Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station
inferredcites →https://doi.org/10.1007/s12145-015-0222-6openalex-snapshot
Using of hybrid fuzzy models to predict spatiotemporal groundwater quality parameters
inferredcites →https://doi.org/10.1016/j.eswa.2010.04.015openalex-snapshot
A novel application of a neuro-fuzzy computational technique in event-based rainfall–runoff modeling
inferredcites →https://doi.org/10.1016/j.geomorph.2009.03.023openalex-snapshot
Pre-processing algorithms and landslide modelling on remotely sensed DEMs
inferredcites →https://doi.org/10.1016/j.jhydrol.2003.12.010openalex-snapshot
A neuro-fuzzy computing technique for modeling hydrological time series
inferredcites →https://doi.org/10.1016/j.jhydrol.2010.10.008openalex-snapshot
Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model
inferredcites →https://doi.org/10.1016/j.jhydrol.2011.01.017openalex-snapshot
Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.03.024openalex-snapshot
A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.04.016openalex-snapshot
Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach
inferredcites →https://doi.org/10.1016/j.jhydrol.2015.12.014openalex-snapshot
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
inferredcites →https://doi.org/10.1016/j.jhydrol.2017.03.032openalex-snapshot
A new approach for simulating and forecasting the rainfall-runoff process within the next two months
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.03.004openalex-snapshot
Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.123981openalex-snapshot
Daily streamflow prediction using optimally pruned extreme learning machine
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.124225openalex-snapshot
Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.124371openalex-snapshot
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
inferredcites →https://doi.org/10.1016/s0020-7373(75)80002-2openalex-snapshot
An experiment in linguistic synthesis with a fuzzy logic controller
inferredcites →https://doi.org/10.1017/s0021859600001441openalex-snapshot
Studies on Soil Phyics.
inferredcites →https://doi.org/10.1061/(asce)1084-0699(2002)7:5(392)openalex-snapshot
Performance of Neural Networks in Daily Streamflow Forecasting
inferredcites →https://doi.org/10.1061/(asce)1084-0699(2007)12:5(532)openalex-snapshot
Streamflow Forecasting Using Different Artificial Neural Network Algorithms
inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0001777openalex-snapshot
Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling
inferredcites →https://doi.org/10.1080/01969727308546046openalex-snapshot
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
inferredcites →https://doi.org/10.1080/02626667.2011.636045openalex-snapshot
A parsimonious geomorphological unit hydrograph for rainfall–runoff modelling in small ungauged basins
inferredcites →https://doi.org/10.1080/02626667.2014.880546openalex-snapshot
Do we still need the Rational Formula? An alternative empirical procedure for peak discharge estimation in small and ungauged basins
inferredcites →https://doi.org/10.1080/02626667.2019.1632460openalex-snapshot
Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models
inferredcites →https://doi.org/10.1080/02626667.2019.1661417openalex-snapshot
Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
inferredcites →https://doi.org/10.1080/02626667.2019.1686506openalex-snapshot
Comparison of design peak flow estimation methods for ungauged basins in Iran
inferredcites →https://doi.org/10.1109/21.256541openalex-snapshot
ANFIS: adaptive-network-based fuzzy inference system
inferredcites →https://doi.org/10.1109/icnn.1995.488968openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1109/icsmc.2008.4811490openalex-snapshot
ANFIS and NNARX based rainfall-runoff modeling
inferredcites →https://doi.org/10.1109/tac.1997.633847openalex-snapshot
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]
inferredcites →https://doi.org/10.1109/tpwrs.2008.2008606openalex-snapshot
Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
inferredcites →https://doi.org/10.1111/jfr3.12193openalex-snapshot
Design hydrograph estimation in small and fully ungauged basins: a preliminary assessment of the EBA4SUB framework
inferredcites →https://doi.org/10.1214/aos/1176347963openalex-snapshot
Multivariate Adaptive Regression Splines
inferredcites →https://doi.org/10.14256/jce.2611.2019openalex-snapshot
Comparison of methodologies for design peak discharge estimation in selected catchments of Bosnia and Herzegovina
inferredcites →https://doi.org/10.14257/ijaiasd.2015.3.2.01openalex-snapshot
Designing of Fuzzy Logic Controller for Set-Point Weight Tuning of PID Controllers
inferredcites →https://doi.org/10.1623/hysj.53.6.1176openalex-snapshot
Hydrogeomorphic properties of simulated drainage patterns using digital elevation models: the flat area issue / Propriétés hydro-géomorphologiques de réseaux de drainage simulés à partir de modèles numériques de terrain: la question des zones planes
inferredcites →https://doi.org/10.17221/153/2017-swropenalex-snapshot
Flood frequency analysis by an event-based rainfall-runoff model in selected catchments of southern Poland
inferredcites →https://doi.org/10.2166/nh.2008.026openalex-snapshot
River flow forecasting and estimation using different artificial neural network techniques
inferredcites →https://doi.org/10.2166/nh.2018.040openalex-snapshot
Flood mapping in small ungauged basins: a comparison of different approaches for two case studies in Slovakia
inferredcites →https://doi.org/10.2166/nh.2019.163openalex-snapshot
Flood inundation mapping in small and ungauged basins: sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach
inferredcites →https://doi.org/10.2478/v10060-008-0063-9openalex-snapshot
Application of a particle swarm optimization to a physically-based erosion model
inferredcites →https://doi.org/10.2747/1548-1603.49.1.139openalex-snapshot
LIDAR Data and Hydrological Applications at the Basin Scale
inferredcites →https://doi.org/10.4081/jae.2015.432openalex-snapshot
A software package for predicting design-flood hydrographs in small and ungauged basins
inferredcites →https://doi.org/10.5194/hess-9-111-2005openalex-snapshot
Constraints of artificial neural networks for rainfall-runoff modelling: trade-offs in hydrological state representation and model evaluation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4592747openalex-extracted
Using Supervised Machine Learning for Regional Hydrological Hazard Estimation
inferred← citeshttps://doi.org/10.2139/ssrn.4858295openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-031-00828-3_12openalex-snapshot
Application of Box-Jenkins, Artificial Neural Network and Support Vector Machine Model for Water Level Prediction
inferred← citeshttps://doi.org/10.1007/978-981-99-0085-5_37openalex-snapshot
Rainfall Prediction Using Machine Learning
inferred← citeshttps://doi.org/10.1007/s00477-021-02159-xopenalex-snapshot
Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis
inferred← citeshttps://doi.org/10.1007/s00477-022-02336-6openalex-snapshot
Real-time error correction for flood forecasting based on machine learning ensemble method and its uncertainty assessment
inferred← citeshttps://doi.org/10.1007/s00477-022-02373-1openalex-snapshot
Exploring the use of multi-gene genetic programming in regional models for the simulation of monthly river runoff series
inferred← citeshttps://doi.org/10.1007/s00521-024-10006-7openalex-snapshot
Prediction of precipitation using wavelet-based hybrid models considering the periodicity
inferred← citeshttps://doi.org/10.1007/s00704-021-03681-2openalex-snapshot
Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins
inferred← citeshttps://doi.org/10.1007/s00704-021-03863-yopenalex-snapshot
Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques
inferred← citeshttps://doi.org/10.1007/s00704-024-04940-8openalex-snapshot
Seasonal rainfall pattern using coupled neural network-wavelet technique of southern Uttarakhand, India
inferred← citeshttps://doi.org/10.1007/s10661-022-10115-7openalex-snapshot
Multi-step-ahead water level forecasting for operating sluice gates in Hai Duong, Vietnam
inferred← citeshttps://doi.org/10.1007/s10668-023-03131-1openalex-snapshot
A review of deep learning and machine learning techniques for hydrological inflow forecasting
inferred← citeshttps://doi.org/10.1007/s10668-024-05555-9openalex-snapshot
A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data
inferred← citeshttps://doi.org/10.1007/s10668-025-06092-9openalex-snapshot
Assessing the effectiveness of artificial intelligence approaches for streamflow modeling in the Indravathi subbasin, India
inferred← citeshttps://doi.org/10.1007/s11269-021-03026-8openalex-snapshot
A Novel Hybrid Method for River Discharge Prediction
inferred← citeshttps://doi.org/10.1007/s11269-022-03401-zopenalex-snapshot
Short-term Runoff Prediction Optimization Method Based on BGRU-BP and BLSTM-BP Neural Networks
inferred← citeshttps://doi.org/10.1007/s11269-024-04029-xopenalex-snapshot
Predictive Performance of Ensemble Learning Boosting Techniques in Daily Streamflow Simulation
inferred← citeshttps://doi.org/10.1007/s11269-024-04074-6openalex-snapshot
Comparison of Multilayer Perceptron with an Optimal Activation Function and Long Short-Term Memory for Rainfall-Runoff Simulations and Ungauged Catchment Runoff Prediction
inferred← citeshttps://doi.org/10.1007/s11269-025-04106-9openalex-snapshot
Advanced Framework for Predicting Rainfall-Runoff: Comparative Evaluation of AI Models for Enhanced Forecasting Accuracy
inferred← citeshttps://doi.org/10.1007/s11269-026-04675-3openalex-snapshot
Optimized Relevance Vector Machine using Improved Manta-ray Foraging Algorithm for Groundwater Level Modeling
inferred← citeshttps://doi.org/10.1007/s11356-023-27351-0openalex-snapshot
Probability of rainstorm and flood disasters due to extreme precipitation in Fen River Basin, China
inferred← citeshttps://doi.org/10.1007/s11600-026-01916-2openalex-snapshot
A critical review of lumped and conceptual rainfall-runoff models: performance, hybridization, uncertainty, and data integration
inferred← citeshttps://doi.org/10.1007/s12145-023-01041-4openalex-snapshot
Application of hybrid machine learning-based ensemble techniques for rainfall-runoff modeling
inferred← citeshttps://doi.org/10.1007/s12145-023-01082-9openalex-snapshot
Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study
inferred← citeshttps://doi.org/10.1007/s12145-024-01223-8openalex-snapshot
Prediction of reservoir evaporation considering water temperature and using ANFIS hybridized with metaheuristic algorithms
inferred← citeshttps://doi.org/10.1007/s12517-022-11045-xopenalex-snapshot
On the simulation of streamflow using hybrid tree-based machine learning models: a case study of Kurkursar basin, Iran
inferred← citeshttps://doi.org/10.1007/s12517-024-12031-1openalex-snapshot
Unleashing the power of AI: revolutionizing runoff prediction beyond NRCS-CN method
inferred← citeshttps://doi.org/10.1007/s12665-022-10604-5openalex-snapshot
A precipitation-runoff swift simulation model dedicated to emergency response to flood prediction
inferred← citeshttps://doi.org/10.1007/s12665-025-12332-yopenalex-snapshot
Multiple machine learning methods for runoff prediction: contrast and improvement
inferred← citeshttps://doi.org/10.1007/s13753-024-00540-2openalex-snapshot
Using Machine Learning to Identify and Optimize Sensitive Parameters in Urban Flood Model Considering Subsurface Characteristics
inferred← citeshttps://doi.org/10.1007/s40314-023-02484-7openalex-snapshot
Global sensitivity analysis for mathematical models comparison
inferred← citeshttps://doi.org/10.1007/s40899-022-00686-1openalex-snapshot
Comparison of the monthly streamflow forecasting in Maroon dam using HEC-HMS and SARIMA models
inferred← citeshttps://doi.org/10.1007/s40899-022-00731-zopenalex-snapshot
Estimation of rainfall–runoff using SCS-CN method and GIS techniques in drought-prone area of Upper Kangsabati Watershed, India
inferred← citeshttps://doi.org/10.1007/s41748-025-00785-xopenalex-snapshot
Enhancing Multi-Step Runoff Forecasts Through Machine Learning and Climate-Informed Rainfall Prediction
inferred← citeshttps://doi.org/10.1016/b978-0-12-821285-1.00002-6openalex-snapshot
Uncertainty analysis using fuzzy models in hydroinformatics
inferred← citeshttps://doi.org/10.1016/j.asej.2022.101941openalex-snapshot
Comparative study of machine learning methods and GR2M model for monthly runoff prediction
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107081openalex-snapshot
Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping
inferred← citeshttps://doi.org/10.1016/j.asr.2026.05.018openalex-snapshot
Predicting future runoff variability in river basins with machine learning
inferred← citeshttps://doi.org/10.1016/j.ejrh.2024.101872openalex-snapshot
Using supervised machine learning for regional hydrological hazard estimation in metropolitan France
inferred← citeshttps://doi.org/10.1016/j.ejrh.2026.103160openalex-snapshot
Cluster-based XGBoost framework for short-term rainfall–runoff prediction under uncertainty in the Sieber watershed, Germany
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107559openalex-snapshot
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
inferred← citeshttps://doi.org/10.1016/j.envpol.2025.127329openalex-snapshot
Using XGBoost and memetic programming to identify hotspots of sediment plastic pollution
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124831openalex-snapshot
An integrated framework for rainfall prediction and analysis using a Stacked Heterogeneous Ensemble Model (SHEM)
inferred← citeshttps://doi.org/10.1016/j.ijsrc.2021.10.001openalex-snapshot
Predictability performance enhancement for suspended sediment in rivers: Inspection of newly developed hybrid adaptive neuro-fuzzy system model
inferred← citeshttps://doi.org/10.1016/j.iswcr.2025.09.007openalex-snapshot
Modeling forest road runoff and erosion at multiple temporal scales in Florida panhandle region, USA
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126266openalex-snapshot
Ensemble machine learning paradigms in hydrology: A review
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129969openalex-snapshot
Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.130907openalex-snapshot
Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132549openalex-snapshot
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.135067openalex-snapshot
Quantifying the uncertainty contribution in runoff projection and the time scale effects
inferred← citeshttps://doi.org/10.1016/j.jnlssr.2024.12.004openalex-snapshot
A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.167369openalex-snapshot
Spatial distribution characteristics and source analysis of shallow groundwater pollution in typical areas of Yangtze River Delta
inferred← citeshttps://doi.org/10.1029/2022ea002320openalex-snapshot
Hydrological Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science
inferred← citeshttps://doi.org/10.1038/s41598-025-17009-xopenalex-snapshot
Design storm estimation for flood risk assessment in the temperate Himalayan basin using hydrological modelling
inferred← citeshttps://doi.org/10.1038/s41598-025-91339-8openalex-snapshot
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling
inferred← citeshttps://doi.org/10.1061/9780784484258.019openalex-snapshot
A Machine Learning Framework for Overflow Prediction in Combined Sewer Systems
inferred← citeshttps://doi.org/10.1061/9780784484852.027openalex-snapshot
Physic-Informed Neural Network Approach Coupled with Boundary Conditions for Solving 1D Steady Shallow Water Equations for Riverine System
inferred← citeshttps://doi.org/10.1061/9780784484852.067openalex-snapshot
Optimal Control of Combined Sewer Systems to Minimize Sewer Overflows by Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1061/jhend8.hyeng-13572openalex-snapshot
Physics-Informed Neural Network Approach for Solving the One-Dimensional Unsteady Shallow-Water Equations in Riverine Systems
inferred← citeshttps://doi.org/10.1080/00949655.2025.2610733openalex-snapshot
Vine copula-based optimal multivariate deep learning model with genetic algorithm optimization for time series forecasting
inferred← citeshttps://doi.org/10.1080/02626667.2022.2083511openalex-snapshot
Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)
inferred← citeshttps://doi.org/10.1080/02626667.2023.2220885openalex-snapshot
Determining flood source areas in watersheds using data-driven models and a geographic information system
inferred← citeshttps://doi.org/10.1080/02626667.2024.2321332openalex-snapshot
Feature importance measures for flood forecasting system design
inferred← citeshttps://doi.org/10.1080/02626667.2024.2345151openalex-snapshot
Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models
inferred← citeshttps://doi.org/10.1080/15715124.2025.2561857openalex-snapshot
Deep-learning-based streamflow prediction in monsoon rainfall-dominated catchment under projected climate scenarios for water resource management
inferred← citeshttps://doi.org/10.1109/access.2023.3238717openalex-snapshot
Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka
inferred← citeshttps://doi.org/10.1109/enc60556.2023.10508664openalex-snapshot
Streamflow Prediction with Long Short-Term Memory Neural Networks Using High-resolution Meteorological Estimates. A Case Study in Southern Mexico
inferred← citeshttps://doi.org/10.1109/icaaic60222.2024.10575126openalex-snapshot
Rainfall Prediction using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/icais53314.2022.9742746openalex-snapshot
An Extensive Review of Rainfall Prediction using Machine Learning and Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/icccnt51525.2021.9579472openalex-snapshot
Standardization Of Rainfall Prediction In Bangladesh Using Machine Learning Approach
inferred← citeshttps://doi.org/10.1155/2021/6633760openalex-snapshot
Estimation of Suspended Sediment Load Using Artificial Intelligence‐Based Ensemble Model
inferred← citeshttps://doi.org/10.1186/s42162-024-00307-5openalex-snapshot
Recently emerging trends in big data analytic methods for modeling and combating climate change effects
inferred← citeshttps://doi.org/10.2166/aqua.2024.288openalex-snapshot
The impact of rainfall value on the accuracy of the SCS-CN model: selection of model parameters
inferred← citeshttps://doi.org/10.2166/h2oj.2021.066openalex-snapshot
Untangling hybrid hydrological models with explainable artificial intelligence
inferred← citeshttps://doi.org/10.2166/hydro.2023.160openalex-snapshot
A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression
inferred← citeshttps://doi.org/10.2166/wst.2023.014openalex-snapshot
Comparing machine-learning-based black box techniques and white box models to predict rainfall-runoff in a northern area of Iraq, the Little Khabur River
inferred← citeshttps://doi.org/10.2166/wst.2023.253openalex-snapshot
Advanced machine learning-based kharif maize evapotranspiration estimation in semi-arid climate
inferred← citeshttps://doi.org/10.2166/wst.2024.222openalex-snapshot
Fine-tuning inflow prediction models: integrating optimization algorithms and TRMM data for enhanced accuracy
inferred← citeshttps://doi.org/10.21926/aeer.2501003openalex-snapshot
Sustainable Water Management Using Rainfall-Runoff Modelling in Rift Valley Basin, East Africa
inferred← citeshttps://doi.org/10.3389/frwa.2023.1233899openalex-snapshot
Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin
inferred← citeshttps://doi.org/10.3390/app12105088openalex-snapshot
Modelling Soil Temperature by Tree-Based Machine Learning Methods in Different Climatic Regions of China
inferred← citeshttps://doi.org/10.3390/app15031412openalex-snapshot
Uncovering Research Trends on Artificial Intelligence Risk Assessment in Businesses: A State-of-the-Art Perspective Using Bibliometric Analysis
inferred← citeshttps://doi.org/10.3390/atmos13101688openalex-snapshot
Enhancing Rainfall-Runoff Simulation via Meteorological Variables and a Deep-Conceptual Learning-Based Framework
inferred← citeshttps://doi.org/10.3390/atmos15121407openalex-snapshot
Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds
inferred← citeshttps://doi.org/10.3390/f14020177openalex-snapshot
A Comparison of Artificial Neural Network and Time Series Models for Timber Price Forecasting
inferred← citeshttps://doi.org/10.3390/hydrology9070117openalex-snapshot
Application of Machine Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage River Basin, Illinois
inferred← citeshttps://doi.org/10.3390/math11051213openalex-snapshot
Application of Advanced Optimized Soft Computing Models for Atmospheric Variable Forecasting
inferred← citeshttps://doi.org/10.3390/su13094648openalex-snapshot
Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering
inferred← citeshttps://doi.org/10.3390/su13115877openalex-snapshot
Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm
inferred← citeshttps://doi.org/10.3390/su14063470openalex-snapshot
Modeling Multistep Ahead Dissolved Oxygen Concentration Using Improved Support Vector Machines by a Hybrid Metaheuristic Algorithm
inferred← citeshttps://doi.org/10.3390/w13243528openalex-snapshot
Application of Machine Learning Techniques in Rainfall–Runoff Modelling of the Soan River Basin, Pakistan
inferred← citeshttps://doi.org/10.3390/w15071437openalex-snapshot
Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model
inferred← citeshttps://doi.org/10.3390/w15203576openalex-snapshot
Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria
inferred← citeshttps://doi.org/10.3390/w16152199openalex-snapshot
Applying Machine Learning Methods to Improve Rainfall–Runoff Modeling in Subtropical River Basins
inferred← citeshttps://doi.org/10.36253/jaeid-15317openalex-snapshot
Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models
inferred← citeshttps://doi.org/10.5772/intechopen.98226openalex-snapshot
Prediction of Relative Humidity in a High Elevated Basin of Western Karakoram by Using Different Machine Learning Models
inferred← citeshttps://doi.org/10.59341/2707-7799.1865openalex-snapshot
Forecasting Monthly Rainfall in the Pirmam area, Kurdistan Region, Iraq: A Machine Learning Approach.
inferred← citeshttps://doi.org/10.70675/a6d6a500z74efz4901zb135z874806696d94openalex-snapshot
Estimation de l'aléa hydrologique en sites non jaugés à une échelle spatiale fine par la méthode SHYREG
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.