Flood Prediction Using Machine Learning Models: Literature Review | Paper Citation Record

Observation 7951aa50-a6d0-432d-9433-8c9a452df7fa · outbound

This paper cites Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider greater manchester area.

Flood Prediction Using Machine Learning Models: Literature Review Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider greater manchester area

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.351329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b140d75-ad27-49b0-a646-5b2a3c9cc1a0 · outbound

This paper cites Evacuation zone modeling under climate change: A data- driven method.

Flood Prediction Using Machine Learning Models: Literature Review Evacuation zone modeling under climate change: A data- driven method

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.357054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e781961-f7fa-4f88-892a-b06deda48d81 · outbound

This paper cites Learning Lessons from the 2007 Floods; Cabinet Office: London, UK, 2008.

Flood Prediction Using Machine Learning Models: Literature Review Learning Lessons from the 2007 Floods; Cabinet Office: London, UK, 2008

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.362453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3259831d-d06d-4fea-8465-0098ea276662 · outbound

This paper cites Improving real time flood forecasting using fuzzy inference system.

Flood Prediction Using Machine Learning Models: Literature Review Improving real time flood forecasting using fuzzy inference system

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.367418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a4fc42-cd2c-4e5b-ac20-cefe2d3cde27 · outbound

This paper cites Predicting the Future Using Web Knowledge: State of the Art Survey.

Flood Prediction Using Machine Learning Models: Literature Review Predicting the Future Using Web Knowledge: State of the Art Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.372258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464b10ed-7328-4823-a613-c476eecc69ac · outbound

This paper cites Representation and prediction of the indian ocean dipole in the poama seasonal forecast model.

Flood Prediction Using Machine Learning Models: Literature Review Representation and prediction of the indian ocean dipole in the poama seasonal forecast model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.377233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee63febb-5840-45c9-9320-b46dbcce01ee · outbound

This paper cites Hydrologic procedures of storm event watershed models: A comprehensive review and comparison.

Flood Prediction Using Machine Learning Models: Literature Review Hydrologic procedures of storm event watershed models: A comprehensive review and comparison

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.382389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ebbaf1-b708-4cc7-b26e-eacfe1e0adf7 · outbound

This paper cites A storm event watershed model for surface runoff based on 2D fully dynamic wave equations.

Flood Prediction Using Machine Learning Models: Literature Review A storm event watershed model for surface runoff based on 2D fully dynamic wave equations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.386797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe387f78-fc11-4fea-8285-c792642ed359 · outbound

This paper cites Experimental validation of two -dimensional depth-averaged models for forecasting rainfall –runoff from precipitation data in urba n areas.

Flood Prediction Using Machine Learning Models: Literature Review Experimental validation of two -dimensional depth-averaged models for forecasting rainfall –runoff from precipitation data in urba n areas

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.390989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289ee7c7-af0f-4a50-aa3b-3dcbd4b041e6 · outbound

This paper cites Rainfall/runoff simulation with 2D full shallow water equations: Sensitivity analysis and calibration of infiltration parameters.

Flood Prediction Using Machine Learning Models: Literature Review Rainfall/runoff simulation with 2D full shallow water equations: Sensitivity analysis and calibration of infiltration parameters

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.395395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c442694-197b-47f6-9165-6102b0754186 · outbound

This paper cites Influence of mesh structure on 2D full shallow water equations and SCS curve number simulation of rainfall/runoff events.

Flood Prediction Using Machine Learning Models: Literature Review Influence of mesh structure on 2D full shallow water equations and SCS curve number simulation of rainfall/runoff events

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.400406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0476b4f-3604-49ad-b3d4-4ee7683a701a · outbound

This paper cites Comparative analysis of overland flow models using finite volume schemes.

Flood Prediction Using Machine Learning Models: Literature Review Comparative analysis of overland flow models using finite volume schemes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.405047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b4d286-e733-4db1-b04b-2a6541dcc9fc · outbound

This paper cites An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations.

Flood Prediction Using Machine Learning Models: Literature Review An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.409324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edce4d0d-3693-423c-826b-31dcbcf4d67d · outbound

This paper cites A simple hydrologically based model of land surface water and energy fluxes for general circulation models.

Flood Prediction Using Machine Learning Models: Literature Review A simple hydrologically based model of land surface water and energy fluxes for general circulation models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.413694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f50dfcf-586c-4f46-bdf4-d419419af449 · outbound

This paper cites Enhancing river model set -up for 2 -D dynamic flood modelling.

Flood Prediction Using Machine Learning Models: Literature Review Enhancing river model set -up for 2 -D dynamic flood modelling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.418519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff0abfd-d58a-42f4-9821-2ff8729e684a · outbound

This paper cites Short -term flood forecasting with a neurofuzzy model.

Flood Prediction Using Machine Learning Models: Literature Review Short -term flood forecasting with a neurofuzzy model

Reference 16

Resolution: verified exact; doi, observed 2026-08-14T14:37:40.661593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec50a43b-35ed-4ded-b049-6cac8f947d3e · outbound

This paper cites Urban flood modeling with porous shallow - water equations: A case study of model errors in the presence of anisotropic porosity.

Flood Prediction Using Machine Learning Models: Literature Review Urban flood modeling with porous shallow - water equations: A case study of model errors in the presence of anisotropic porosity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.427466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e0eed4-8c74-4a28-a7ad-314c3bbd4ade · outbound

This paper cites The 2011 brisbane floods: Causes, impacts and implications.

Flood Prediction Using Machine Learning Models: Literature Review The 2011 brisbane floods: Causes, impacts and implications

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.432006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b50f315b-99ea-4f2a-a570-ec043b7e4278 · outbound

This paper cites Operational rainfall prediction on meso -γ scales for hydrologic applications.

Flood Prediction Using Machine Learning Models: Literature Review Operational rainfall prediction on meso -γ scales for hydrologic applications

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.436735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4227d87-bd20-4847-8ca1-cf69ab785090 · outbound

This paper cites Evaluation of numerical weather prediction model precipitation forecasts for short -term streamflow forecasting purpose.

Flood Prediction Using Machine Learning Models: Literature Review Evaluation of numerical weather prediction model precipitation forecasts for short -term streamflow forecasting purpose

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.441344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5420661-8424-4209-bfab-d9d5c70fd206 · outbound

This paper cites A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques.

Flood Prediction Using Machine Learning Models: Literature Review A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.445949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f323ee2-4655-48c4-9cad-26aa6ce3f738 · outbound

This paper cites The validity of flow approximations when simulating catchment-integrated flash floods.

Flood Prediction Using Machine Learning Models: Literature Review The validity of flow approximations when simulating catchment-integrated flash floods

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.450657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c41f8f-18db-420e-b5fa-fba64a7bf618 · outbound

This paper cites Flood mapping using lidar dem.

Flood Prediction Using Machine Learning Models: Literature Review Flood mapping using lidar dem

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.456365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b5fe2c-086c-461c-82f4-3f33561f62e5 · outbound

This paper cites Parameters estimate of autoregressive moving average and autoregressive integrated moving average models and compare their ability for inflow forecasting.

Flood Prediction Using Machine Learning Models: Literature Review Parameters estimate of autoregressive moving average and autoregressive integrated moving average models and compare their ability for inflow forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.460869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ea5a16-d0fa-4a26-8e53-f19fdcec940f · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 25

Resolution: verified exact; doi, observed 2026-08-14T14:37:40.646388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 91636d58-b3f1-4de0-b47d-392d41a02b6d · outbound

This paper cites Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecastin g the monthly inflow of Dez dam reservoir.

Flood Prediction Using Machine Learning Models: Literature Review Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecastin g the monthly inflow of Dez dam reservoir

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.470775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2310a9ff-7c35-4a9e-a31b-5a264f3eaeff · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.475674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517ccc94-3d60-48cc-b4d5-bb436b10015f · outbound

This paper cites Application of artificial neural networks in regional flood frequency analysis: A case study for australia.

Flood Prediction Using Machine Learning Models: Literature Review Application of artificial neural networks in regional flood frequency analysis: A case study for australia

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.480583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970606fe-4885-4a71-8b43-eee9b109c905 · outbound

This paper cites Probability distribution of low streamflow series in the united states.

Flood Prediction Using Machine Learning Models: Literature Review Probability distribution of low streamflow series in the united states

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.485490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7591b6-0f02-48ed-9e05-ed4d45de2d19 · outbound

This paper cites Ensemble forecast of a typhoon flood event.

Flood Prediction Using Machine Learning Models: Literature Review Ensemble forecast of a typhoon flood event

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.490232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ff1a49-d799-49ed-b4ba-2c601c5f5480 · outbound

This paper cites Regional flood frequency analysis in eastern australia: Bayesian GLS regression-based methods within fixed region and ROI framework –quantile regression vs.

Flood Prediction Using Machine Learning Models: Literature Review Regional flood frequency analysis in eastern australia: Bayesian GLS regression-based methods within fixed region and ROI framework –quantile regression vs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.494697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 461e2d71-07ff-4881-bf9b-6cfc97b36829 · outbound

This paper cites Hydrology for Water Management; CRC Press: Boca Raton, FL, USA, 2017.

Flood Prediction Using Machine Learning Models: Literature Review Hydrology for Water Management; CRC Press: Boca Raton, FL, USA, 2017

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.499800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d8f743-9c11-4d6e-bb52-a59e80bc93d9 · outbound

This paper cites A modified ISBA surface scheme for modeling the hydrology of Athabasca river basin with GCM-scale data.

Flood Prediction Using Machine Learning Models: Literature Review A modified ISBA surface scheme for modeling the hydrology of Athabasca river basin with GCM-scale data

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.504262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd31a09-e1a4-45bb-9e09-4c97f3721a88 · outbound

This paper cites A Generalized Streamflow Simulation System, Conceptual Modeling for Digital Computers; Stanford University: Stanford, CA, USA, 1973.

Flood Prediction Using Machine Learning Models: Literature Review A Generalized Streamflow Simulation System, Conceptual Modeling for Digital Computers; Stanford University: Stanford, CA, USA, 1973

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.508794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1143acdd-f408-4131-a332-8358fe25a085 · outbound

This paper cites A physically based description of floodplain inundation dynamics in a global river routing model.

Flood Prediction Using Machine Learning Models: Literature Review A physically based description of floodplain inundation dynamics in a global river routing model

Reference 35

Resolution: verified exact; doi, observed 2026-08-14T14:37:40.631312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2c23ed7b-a0de-4f71-8bb4-63ba83f1c02f · outbound

This paper cites A comparison of two seasonal rainfall forecasting systems for Australia.

Flood Prediction Using Machine Learning Models: Literature Review A comparison of two seasonal rainfall forecasting systems for Australia

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.518004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28c8d72-68ca-4b76-8e76-c2d6450ee3e5 · outbound

This paper cites Multiple regression and artificial neural network for long-term rainfall forecasting using large scale climate modes.

Flood Prediction Using Machine Learning Models: Literature Review Multiple regression and artificial neural network for long-term rainfall forecasting using large scale climate modes

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.522481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ff64a1-b206-4142-a8d0-4d256b0eb40d · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.527022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946fa9aa-926f-4bcd-916d-0d2d08265740 · outbound

This paper cites Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks.

Flood Prediction Using Machine Learning Models: Literature Review Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.531534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08e9d3d-0c78-4266-ba59-ba3054e915be · outbound

This paper cites A bayesian q uantitative precipitation nowcast scheme.

Flood Prediction Using Machine Learning Models: Literature Review A bayesian q uantitative precipitation nowcast scheme

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.536454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a334476c-3394-45ad-b0e0-2c725b07a912 · outbound

This paper cites Fluvial flood risk management in a changing world.

Flood Prediction Using Machine Learning Models: Literature Review Fluvial flood risk management in a changing world

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.541212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2179cf-aace-46d7-bc61-19afa9ffd9be · outbound

This paper cites Short -term inflow forecasting using an artificial neural network model.

Flood Prediction Using Machine Learning Models: Literature Review Short -term inflow forecasting using an artificial neural network model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.545653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce8484a-e932-4039-8717-a512546a6931 · outbound

This paper cites Accurate precipitation prediction with support vector classifiers: A study including novel predictive variables and observational data.

Flood Prediction Using Machine Learning Models: Literature Review Accurate precipitation prediction with support vector classifiers: A study including novel predictive variables and observational data

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.550681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776949ee-d046-42ac-8d3a-0b8d29863aea · outbound

This paper cites A real -time forecast model using artificial neural network for after-runner storm surges on the Tottori Coast, Japan.

Flood Prediction Using Machine Learning Models: Literature Review A real -time forecast model using artificial neural network for after-runner storm surges on the Tottori Coast, Japan

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.555342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8e59c3-f1c0-4917-9e7d-9cc9cc2a69c5 · outbound

This paper cites Edalatifar, M.

Flood Prediction Using Machine Learning Models: Literature Review Edalatifar, M

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.559919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c61b7c-9d07-4d86-8c05-eadd7430dc72 · outbound

This paper cites Fuzzy expe rt system for automatic wavelet shrinkage procedure selection for noise suppression.

Flood Prediction Using Machine Learning Models: Literature Review Fuzzy expe rt system for automatic wavelet shrinkage procedure selection for noise suppression

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.564289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc14d3d-3c7f-4a30-928f-a797730d77b5 · outbound

This paper cites Least squares support vector machine classifiers.

Flood Prediction Using Machine Learning Models: Literature Review Least squares support vector machine classifiers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.568907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e416f81-35c6-4dc8-8d92-c8ace50f2b2d · outbound

This paper cites Regional flood frequency analysis using support vector regression under historical and future climate.

Flood Prediction Using Machine Learning Models: Literature Review Regional flood frequency analysis using support vector regression under historical and future climate

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.573320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d20cf7-db00-4c51-8744-aebda1f1e99e · outbound

This paper cites Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network.

Flood Prediction Using Machine Learning Models: Literature Review Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.577796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e092f4-3779-456f-aa1b-cab1c3aa9b05 · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.582246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b09b32-0df6-4ccd-8753-a5b92b3baadb · outbound

This paper cites Wavelet-linear genetic programming: A new approach for modeling monthly streamflow.

Flood Prediction Using Machine Learning Models: Literature Review Wavelet-linear genetic programming: A new approach for modeling monthly streamflow

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.587508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f603a1af-639c-4e06-99c3-046e673bc4f2 · outbound

This paper cites Learning and intelligent optimization for material design innovation.

Flood Prediction Using Machine Learning Models: Literature Review Learning and intelligent optimization for material design innovation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.592939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a492f3-405f-412a-8adc-68a678745c41 · outbound

This paper cites Artificial neural networks applications in groundwater hydrology—A review.

Flood Prediction Using Machine Learning Models: Literature Review Artificial neural networks applications in groundwater hydrology—A review

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.597240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c0171f-b0d4-4083-a5fa-b9abdd293804 · outbound

This paper cites Support vector machine applications in the field of hydrology: A review.

Flood Prediction Using Machine Learning Models: Literature Review Support vector machine applications in the field of hydrology: A review

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.601609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a3a957-a79a-4353-8c7a-16af755a46de · outbound

This paper cites -W.; Faizollahzadeh Ardabili, S.; Piran, M.J.

Flood Prediction Using Machine Learning Models: Literature Review -W.; Faizollahzadeh Ardabili, S.; Piran, M.J

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.606068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c5c5b5-1ef3-4cec-be21-c17a5be68f56 · outbound

This paper cites Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters.

Flood Prediction Using Machine Learning Models: Literature Review Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.610496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868d0b13-b5f5-48d1-b4d5-bbb2038e7545 · outbound

This paper cites Improving measurement invariance assessments in survey research with missing data by novel artificial neural networks.

Flood Prediction Using Machine Learning Models: Literature Review Improving measurement invariance assessments in survey research with missing data by novel artificial neural networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.614906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517d6254-ae55-49c6-a493-6ba15a49049f · outbound

This paper cites Linking flood frequency to long-term water balance: Incorporating effects of seasonality.

Flood Prediction Using Machine Learning Models: Literature Review Linking flood frequency to long-term water balance: Incorporating effects of seasonality

Reference 58

Resolution: verified exact; doi, observed 2026-08-14T14:37:40.616929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d016aeca-c61a-434d-85e0-b1db752a66c3 · outbound

This paper cites Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions.

Flood Prediction Using Machine Learning Models: Literature Review Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.623963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4588acf2-fd95-422c-8a3f-05c228414355 · outbound

This paper cites Research article daily rainfall-runoff prediction and simulation using ANN, ANFIS and conceptual hydrological MIKE11/NAM models.

Flood Prediction Using Machine Learning Models: Literature Review Research article daily rainfall-runoff prediction and simulation using ANN, ANFIS and conceptual hydrological MIKE11/NAM models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.628397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718d8828-c502-4816-8ff0-b10ed885d73e · outbound

This paper cites Flash flood forecasting: What are the limits of predictability ? Q.

Flood Prediction Using Machine Learning Models: Literature Review Flash flood forecasting: What are the limits of predictability ? Q

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.632509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04389809-ab65-4bed-a383-86c565bfd8f8 · outbound

This paper cites Real -time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements.

Flood Prediction Using Machine Learning Models: Literature Review Real -time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.637046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82fade16-ce5c-4520-8f4f-2223a14849af · outbound

This paper cites A large-sample investigation of statistical procedures for radar-based short-term quantitative precipitation forecasting.

Flood Prediction Using Machine Learning Models: Literature Review A large-sample investigation of statistical procedures for radar-based short-term quantitative precipitation forecasting

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.641370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ca5ab23-74a2-4268-8ccb-9e5a0218dfbd · outbound

This paper cites Weather radar coverage over the contiguous united states.

Flood Prediction Using Machine Learning Models: Literature Review Weather radar coverage over the contiguous united states

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.646075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73c9e15a-408f-4f25-aa2e-9271f1cbb7e3 · outbound

This paper cites River flood forecasting with a neural network model.

Flood Prediction Using Machine Learning Models: Literature Review River flood forecasting with a neural network model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.650596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db468af-74a6-4d5a-aea9-bd7b78ca8e6c · outbound

This paper cites Improved higher lead time river flow forecasts using sequential neural network with error updating.

Flood Prediction Using Machine Learning Models: Literature Review Improved higher lead time river flow forecasts using sequential neural network with error updating

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.655140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf247973-76b6-4ef8-b6aa-ca2b2b2cca6f · outbound

This paper cites Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system.

Flood Prediction Using Machine Learning Models: Literature Review Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.660508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d11bdd-97c4-490a-8018-c048665401eb · outbound

This paper cites A fully -online neuro -fuzzy model for flow forecasting in basins with limited data.

Flood Prediction Using Machine Learning Models: Literature Review A fully -online neuro -fuzzy model for flow forecasting in basins with limited data

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.665212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f2c346-f794-4f86-a414-604c9cee98ab · outbound

This paper cites Comparison of random forests and support vector machine for real-time radar-derived rainfall forecasting.

Flood Prediction Using Machine Learning Models: Literature Review Comparison of random forests and support vector machine for real-time radar-derived rainfall forecasting

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.669659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab91a01-e8ef-44a1-8af7-e8c8e004dbef · outbound

This paper cites Applications of hybrid wavelet–artificial intelligence models in hydrology: A review.

Flood Prediction Using Machine Learning Models: Literature Review Applications of hybrid wavelet–artificial intelligence models in hydrology: A review

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.674174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4f6d77-e3cc-4b4d-a3f2-97fcf8eeda0a · outbound

This paper cites Daily outflow prediction by multi layer perceptron with logistic sigmoid and tangent sigmoid activation functions.

Flood Prediction Using Machine Learning Models: Literature Review Daily outflow prediction by multi layer perceptron with logistic sigmoid and tangent sigmoid activation functions

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.678817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 141a2194-0d26-40b8-a3d8-59ea2d694ac1 · outbound

This paper cites Streamflow forecast and reservoir operation performance assessment under climate change.

Flood Prediction Using Machine Learning Models: Literature Review Streamflow forecast and reservoir operation performance assessment under climate change

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.683297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efe3356-02a0-4498-8af5-562cf589b4cf · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.687747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ecfad9-7797-4d72-9a5d-f26b7c8a3bfa · outbound

This paper cites Heavy rainfall forecasting model using artificial neural network for flood prone area.

Flood Prediction Using Machine Learning Models: Literature Review Heavy rainfall forecasting model using artificial neural network for flood prone area

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.692244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1d398b-0c4c-4add-a766-9ed4ebe0ef49 · outbound

This paper cites Development of flood forecasting system usi ng statistical and ANN techniques in the downstream catchment of mahanadi basin, india.

Flood Prediction Using Machine Learning Models: Literature Review Development of flood forecasting system usi ng statistical and ANN techniques in the downstream catchment of mahanadi basin, india

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.697209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d76efa8-6e62-4123-8f19-d272a9d2fb3c · outbound

This paper cites comparative analysis of event -based rainfall-runoff modeling techniques—Deterministic, statistical, and artificial neural networks.

Flood Prediction Using Machine Learning Models: Literature Review comparative analysis of event -based rainfall-runoff modeling techniques—Deterministic, statistical, and artificial neural networks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.703366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09af6b36-1ff7-47f0-9965-448fcff91df3 · outbound

This paper cites Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregress ive techniques.

Flood Prediction Using Machine Learning Models: Literature Review Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregress ive techniques

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.708206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbc4a5b-cc0e-4175-a926-f4518b3770be · outbound

This paper cites Application of artificial neural network in hydrology—A review.

Flood Prediction Using Machine Learning Models: Literature Review Application of artificial neural network in hydrology—A review

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.712676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7afcfc48-cb40-4900-a377-3f58dbe543ea · outbound

This paper cites Streamflow forecasting using different artificial neural network algorithms.

Flood Prediction Using Machine Learning Models: Literature Review Streamflow forecasting using different artificial neural network algorithms

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.717353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de699924-dede-4d39-a919-338d300d174b · outbound

This paper cites Artificial neural network model for river flow forecasting in a developing country.

Flood Prediction Using Machine Learning Models: Literature Review Artificial neural network model for river flow forecasting in a developing country

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.722063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e61f29f-e8df-44cd-9a12-638ecd81dfe3 · outbound

This paper cites Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting.

Flood Prediction Using Machine Learning Models: Literature Review Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.726895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53fd793b-875d-42f3-88ac-276f95e5c61d · outbound

This paper cites Neural -network models of rainfall -runoff process.

Flood Prediction Using Machine Learning Models: Literature Review Neural -network models of rainfall -runoff process

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.731800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6f76fb0-9652-4da7-8160-ddf515eac91f · outbound

This paper cites -W.; Sethi, R.

Flood Prediction Using Machine Learning Models: Literature Review -W.; Sethi, R

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.738834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953431ee-c8c3-4b0e-b212-c16cdd0500a3 · outbound

This paper cites River stage forecasting using artificial neural networks.

Flood Prediction Using Machine Learning Models: Literature Review River stage forecasting using artificial neural networks

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.743707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c9fbef-f6c9-4b25-896b-a84414c9e971 · outbound

This paper cites Artificial neural networks and high and low flows in various climate regimes.

Flood Prediction Using Machine Learning Models: Literature Review Artificial neural networks and high and low flows in various climate regimes

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.748420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57327d69-d3e4-4e10-936e-c2235a8f982c · outbound

This paper cites A multi -stage methodology for selecting input variables in ann forecasting of river flows.

Flood Prediction Using Machine Learning Models: Literature Review A multi -stage methodology for selecting input variables in ann forecasting of river flows

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.753255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddb54be7-952a-4238-983e-dd0d80f3c4af · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.757880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8a00bd-e713-4b95-b6d9-d75567a6dbe4 · outbound

This paper cites Downscaling precipitation and temperature with temporal neural networks.

Flood Prediction Using Machine Learning Models: Literature Review Downscaling precipitation and temperature with temporal neural networks

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.763383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d97a67-f2ce-4dc5-90c8-587eb7fff7b2 · outbound

This paper cites Downscaling temperature and precipitation: A comparison of regression- based methods and artificial neural networks.

Flood Prediction Using Machine Learning Models: Literature Review Downscaling temperature and precipitation: A comparison of regression- based methods and artificial neural networks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.768423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf568134-6982-483e-9709-36a83c2e0b23 · outbound

This paper cites Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: A case study in the northern area of peninsular Malaysia.

Flood Prediction Using Machine Learning Models: Literature Review Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: A case study in the northern area of peninsular Malaysia

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.773538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82571d9b-85dc-49b7-ae00-03e17b456f78 · outbound

This paper cites an unresolved cited work.

Flood Prediction Using Machine Learning Models: Literature Review Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.778442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71189ea-5af9-4097-bb56-a04cda0c2ae7 · outbound

This paper cites -B.; Zhu, Q.

Flood Prediction Using Machine Learning Models: Literature Review -B.; Zhu, Q

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.784094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431ce42e-7313-4ebf-88a5-7d915b4717eb · outbound

This paper cites Forecasting daily streamflow using online sequential extreme learning machines.

Flood Prediction Using Machine Learning Models: Literature Review Forecasting daily streamflow using online sequential extreme learning machines

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.789132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d3c7307-bfe8-413b-9110-ed48561609a4 · outbound

This paper cites Stream-flow forecasting using extreme learning machines: A case study in a semi -arid region in Iraq.

Flood Prediction Using Machine Learning Models: Literature Review Stream-flow forecasting using extreme learning machines: A case study in a semi -arid region in Iraq

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.793647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aefd525-6aaa-478d-a8b0-fb454ce459b3 · outbound

This paper cites Flow forecasting for a Hawaii stream using rating curves and neural networks.

Flood Prediction Using Machine Learning Models: Literature Review Flow forecasting for a Hawaii stream using rating curves and neural networks

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.798307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f3b50b-3253-48f6-bc11-2f4cca90230b · outbound

This paper cites Flood forecasting using neural computing techniques and conceptual class segregation.

Flood Prediction Using Machine Learning Models: Literature Review Flood forecasting using neural computing techniques and conceptual class segregation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.802791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58924247-cbe2-408b-a6c6-d874895c7183 · outbound

This paper cites L earning representations by back -propagating errors.

Flood Prediction Using Machine Learning Models: Literature Review L earning representations by back -propagating errors

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.809515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8709af5c-f476-4256-a90c-ebc3b447d0d9 · outbound

This paper cites Rainfall -runoff model using an artificial neural network approach.

Flood Prediction Using Machine Learning Models: Literature Review Rainfall -runoff model using an artificial neural network approach

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.814374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5fff9f-ffa2-4e7f-95f6-769c6897bffb · outbound

This paper cites Rainfall -runoff modelling using artificial neural networks: Comparison of network types.

Flood Prediction Using Machine Learning Models: Literature Review Rainfall -runoff modelling using artificial neural networks: Comparison of network types

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.820171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25989b2-1655-4342-95b9-b0decbcb06a1 · outbound

This paper cites Soft computing and fuzzy logic.

Flood Prediction Using Machine Learning Models: Literature Review Soft computing and fuzzy logic

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-14T14:37:39.825216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers