188 citations as recorded by crossref.

1. Application of generalized regression neural network and support vector regression for monthly rainfall forecasting in western Jilin Province, China W. Lu et al. 10.2166/aqua.2014.002
2. Optimal placement of water-level sensors to facilitate data-driven management of hydrological infrastructure assets in coastal mega-cities of developing nations R. Ogie et al. 10.1016/j.scs.2017.08.019
3. Improving monthly precipitation prediction accuracy using machine learning models: a multi-view stacking learning technique M. El Hafyani et al. 10.3389/frwa.2024.1378598
4. Modeling and forecasting river flow rate from the Melen Watershed, Turkey M. Akiner & A. Akkoyunlu 10.1016/j.jhydrol.2012.06.031
5. Using exogenous variables to improve precipitation predictions of ANNs in arid and hyper-arid climates H. Bari Abarghouei & S. Hosseini 10.1007/s12517-016-2679-0
6. Evaluation of input variable selection methods in artificial neural networks for estimating missing daily precipitation M. Ghodrati & A. Dariane 10.1080/02626667.2024.2387156
7. Crowdsourced Predictive Analysis for the International Trade of South Indian Coir Products in Ayurveda, Textile and Agriculture R. S & R. Sasikala 10.2139/ssrn.3355103
8. Forecasting of Rainfall Using Time Delay Neural Network in Tizi-Ouzou (Algeria) K. Benmahdjoub et al. 10.1016/j.egypro.2013.07.129
9. Annual precipitation forecast for west, southwest, and south provinces of Iran using artificial neural networks S. Azadi & A. Sepaskhah 10.1007/s00704-011-0575-9
10. Neural Network Forecasting of Precipitation Volumes Using Patterns A. Gorshenin & V. Kuzmin 10.1134/S1054661818030069
11. Data-driven multi-time-step ahead daily rainfall forecasting using singular spectrum analysis-based data pre-processing P. Unnikrishnan & V. Jothiprakash 10.2166/hydro.2017.029
12. Modeling and simulation of OBPN for forecasting of long-range monsoon AWR over a smaller homogeneous region through astrological parameters and its verification for 2019 S. Karmakar & S. Goswami 10.1007/s42044-019-00051-0
13. VERİ ZARFLAMA ANALİZİ TEMELLİ YAPAY SİNİR AĞLARI VE LOJİSTİK REGRESYON ANALİZİ İLE TEKNOLOJİ GELİŞTİRME BÖLGELERİNİN ETKİNLİKLERİNİN TAHMİNLENMESİ E. ÇAKIN & A. ÖZDEMİR 10.17065/huniibf.414156
14. Artificial neural networks in temporal and spatial variability studies and prediction of rainfall M. Richard & K. Gopal Rao 10.1080/09715010.2013.806400
15. Concept Drift Detection in Data Stream Clustering and its Application on Weather Data . Namitha K. & . Santhosh Kumar G. 10.4018/IJAEIS.2020010104
16. Artificial Intelligence Based Ensemble Modeling for Multi-Station Prediction of Precipitation V. Nourani et al. 10.3390/atmos10020080
17. Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction Y. Kim & Y. Yoon 10.1155/2016/4063632
18. Prediction of Monthly Summer Monsoon Rainfall Using Global Climate Models Through Artificial Neural Network Technique A. Nair et al. 10.1007/s00024-017-1652-5
19. Simulation of precipitation time series using tree-rings, earlywood vessel features, and artificial neural network V. Gholami et al. 10.1007/s00704-018-2702-3
20. A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al. 10.5194/hess-16-4417-2012
21. Estimation of Intensity-Duration-Frequency (IDF) Curves from Large Scale Atmospheric Dataset by Statistical Downscaling K. ALRAMLAWİ & O. FISTIKOĞLU 10.18400/tekderg.874035
22. Increasing Neurons or Deepening Layers in Forecasting Maximum Temperature Time Series? T. Tran et al. 10.3390/atmos11101072
23. Enhancing daily rainfall prediction in urban areas: a comparative study of hybrid artificial intelligence models with optimization algorithms Y. Sheikhi et al. 10.1007/s13201-023-02036-8
24. Weather Forecasting Model using Artificial Neural Network K. Abhishek et al. 10.1016/j.protcy.2012.05.047
25. Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö. Baydaroğlu & I. Demir 10.2166/hydro.2024.235
26. Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning S. Majnooni et al. 10.1080/02626667.2023.2248112
27. Hybrid Wavelet-Postfix-GP Model for Rainfall Prediction of Anand Region of India V. Dabhi & S. Chaudhary 10.1155/2014/717803
28. Long-Term Prediction of Hydrometeorological Time Series Using a PSO-Based Combined Model Composed of EEMD and LSTM G. Wu et al. 10.3390/su151713209
29. Comparison of hybrid machine learning model for the analysis of black carbon in air around the major coal mines of India S. Makkhan et al. 10.1007/s00521-022-07909-8
30. Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China J. Yin et al. 10.1016/j.jhydrol.2016.03.037
31. Snow glacier melt estimation in tropical Andean glaciers using artificial neural networks V. Moya Quiroga et al. 10.5194/hess-17-1265-2013
32. Application of ANN and ANFIS Models on Dryland Precipitation Prediction (Case Study: Yazd in Central Iran) M. Dastorani et al. 10.3923/jas.2010.2387.2394
33. Hybrid artificial intelligence models based on adaptive neuro fuzzy inference system and metaheuristic optimization algorithms for prediction of daily rainfall B. Pham et al. 10.1016/j.pce.2024.103563
34. Rainfall Forecasting Using Various Artificial Neural Network Techniques - A Review N. Thakur et al. 10.32628/CSEIT2173159
35. Using the mutual information technique to select explanatory variables in artificial neural networks for rainfall forecasting M. Babel et al. 10.1002/met.1495
36. ANN and GRNN-Based Coupled Model for Flood Inundation Mapping of the Punpun River Basin S. Ranjan & V. Singh 10.48084/etasr.5483
37. Performance comparison of artificial neural network models for daily rainfall prediction S. Devi et al. 10.1007/s11633-016-0986-2
38. Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model S. Yang et al. 10.1016/j.jhydrol.2019.124229
39. SUITABILITY OF NEURAL NETWORK TECHNIQUES FOR RAINFALL-RUNOFF MODELLING OVER A RIVER BASIN: A COMPREHENSIVE LITERATURE REVIEW K. SANJEEV et al. 10.26634/jfet.13.4.14434
40. Design of a flood magnitude prediction model using algorithmic and mathematical approaches A. Simeon et al. 10.1007/s41870-021-00706-x
41. Incorporating marine particulate carbon into machine learning for accurate estimation of coastal chlorophyll-a J. Niu et al. 10.1016/j.marpolbul.2023.115089
42. Development of advanced artificial intelligence models for daily rainfall prediction B. Pham et al. 10.1016/j.atmosres.2020.104845
43. Integrated Artificial Intelligent with RS and GIS for Long-Term Drought Prediction B. Yahya et al. 10.1088/1757-899X/1152/1/012024
44. Prediction of monthly precipitation using various artificial models and comparison with mathematical models Y. Kassem et al. 10.1007/s11356-022-24912-7
45. Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment J. Estévez et al. 10.3390/w12071909
46. Improving Monthly Rainfall Forecast in a Watershed by Combining Neural Networks and Autoregressive Models A. Pérez-Alarcón et al. 10.1007/s40710-022-00602-x
47. Feasibility of Different Weather Data Sources Applied to Building Indoor Temperature Estimation Using LSTM Neural Networks M. Pensado-Mariño et al. 10.3390/su132413735
48. A hybrid EMD and MODWT models for monthly precipitation forecasting using an innovative error decomposition method L. Parviz & M. Ghorbanpour 10.1007/s00477-024-02797-x
49. Automated rain fall prediction enabled by optimized convolutional neural network‐based feature formation with adaptive long short‐term memory framework A. K et al. 10.1002/cpe.6868
50. Precipitation forecasting by using wavelet-support vector machine conjunction model O. Kisi & M. Cimen 10.1016/j.engappai.2011.11.003
51. Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three-Dimensional Hydrodynamic Models W. Chen et al. 10.4236/cweee.2017.61009
52. Neuro-fuzzy-wavelet hybrid approach to estimate the future trends of river water quality K. Parmar et al. 10.1007/s00521-019-04560-8
53. Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control F. Chang et al. 10.1016/j.jhydrol.2014.06.013
54. A Comparison of Regularization Techniques in Deep Neural Networks I. Nusrat & S. Jang 10.3390/sym10110648
55. Modelling spatial, altitudinal and temporal variability of annual precipitation in mountainous regions: The case of the Middle Zagros, Iran R. Saeidabadi et al. 10.1007/s13143-016-0026-8
56. ANN-RBF Hybrid Model for Spatiotemporal Estimation of Monthly Precipitation Case Study V. Nourani et al. 10.4018/jamc.2013040101
57. Climatic data analysis for groundwater level simulation in drought prone Barind Tract, Bangladesh: Modelling approach using artificial neural network R. Hasda et al. 10.1016/j.gsd.2020.100361
58. ÜLKELERİN İNOVASYON PERFORMANSININ ÖLÇÜLMESİNDE YAPAY SİNİR AĞLARI, BULANIK DEMATEL TABANLI ANALİTİK AĞ SÜRECİ VE AĞIRLIK KISITLI VERİ ZARFLAMA ANALİZİ YAKLAŞIMLARININ BÜTÜNLEŞİK OLARAK KULLANILMASI VE BİR UYGULAMA E. ÇAKIN & A. ÖZDEMİR 10.24889/ifede.839778
59. Flash flood warnings using the ensemble precipitation forecasting technique: A case study on forecasting floods in Taiwan caused by typhoons T. Yang et al. 10.1016/j.jhydrol.2014.11.028
60. Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data V. Jothiprakash & R. Magar 10.1016/j.jhydrol.2012.04.045
61. Statistical downscaling rainfall using artificial neural network: significantly wetter Bangkok? M. Vu et al. 10.1007/s00704-015-1580-1
62. Incorporating large-scale atmospheric variables in long-term seasonal rainfall forecasting using artificial neural networks: an application to the Ping Basin in Thailand M. Babel et al. 10.2166/nh.2016.212
63. Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts M. Ali et al. 10.1016/j.jhydrol.2020.124647
64. Quality Monitoring Research of Small Scale Resistance Spot Welding Based on Voltage Signal D. Zhao et al. 10.2355/isijinternational.53.240
65. Simulation of Daily Rainfall from Concurrent Meteorological Parameters over Core Monsoon Region of India: A Novel Approach U. Misra et al. 10.1155/2018/3053640
66. Is Deep Better in Extreme Temperature Forecasting? T. Tran & T. Lee 10.9798/KOSHAM.2019.19.7.55
67. Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation J. Seo et al. 10.1155/2014/203545
68. Examining the Applicability of Wavelet Packet Decomposition on Different Forecasting Models in Annual Rainfall Prediction H. Wang et al. 10.3390/w13151997
69. Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia A. El-Shafie et al. 10.5194/hess-16-1151-2012
70. An improved approach to Arabic news classification based on hyperparameter tuning of machine learning algorithms I. Jamaleddyn et al. 10.1016/j.jer.2023.100061
71. Development of Precipitation Forecast Model Based on Artificial Intelligence and Subseasonal Clustering L. Parviz & K. Rasouli 10.1061/(ASCE)HE.1943-5584.0001862
72. Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from Greece G. Papacharalampous et al. 10.1007/s11269-018-2155-6
73. Deep Learning-Based Maximum Temperature Forecasting Assisted with Meta-Learning for Hyperparameter Optimization T. Thi Kieu Tran et al. 10.3390/atmos11050487
74. A method to improve the stability and accuracy of ANN- and SVM-based time series models for long-term groundwater level predictions H. Yoon et al. 10.1016/j.cageo.2016.03.002
75. Analysis of rainfall depth based on climatology conditions using artificial neural networks V. Dermawan & Y. Alfahnie 10.1088/1755-1315/437/1/012020
76. A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran O. Hamidi et al. 10.1007/s00704-014-1141-z
77. Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia W. Abebe & D. Endalie 10.1186/s40537-022-00683-3
78. Weather Forecasting Using Artificial Neural Network (ANN): A Review O. ZEMNAZI et al. 10.1016/j.procs.2024.08.090
79. Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall Q. Pham et al. 10.1007/s11269-019-02408-3
80. A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and challenges M. Saleh et al. 10.1016/j.eswa.2024.124153
81. Deterministic weather forecasting models based on intelligent predictors: A survey K. Jaseena & B. Kovoor 10.1016/j.jksuci.2020.09.009
82. Increased Occurrence and Intensity of Consecutive Rainfall Events in the China's Three Gorges Reservoir Area Under Global Warming Y. Zheng et al. 10.1029/2020EA001188
83. Dynamic neural networks for real-time water level predictions of sewerage systems-covering gauged and ungauged sites 10.5194/hess-14-1309-2010
84. Improving the accuracy of flood forecasting for Northeast China by the correction of global forecast rainfall based on deep learning S. Chen et al. 10.1016/j.jhydrol.2024.131733
85. Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations A. Najah et al. 10.5194/hess-15-2693-2011
86. Rainfall forecast based on GPS PWV together with meteorological parameters using neural network models A. Khaniani et al. 10.1016/j.jastp.2020.105533
87. Modeling prediction of dispersal of heavy metals in plain using neural network S. Boudaghpour & S. Malekmohammadi 10.1080/23249676.2020.1719219
88. Long-term rainfall forecasting in arid climates using artificial intelligence and statistical recurrent models A. Alsumaiei 10.1016/j.jer.2024.03.001
89. Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal–ordinal support vector classifier J. Sánchez-Monedero et al. 10.1016/j.engappai.2014.05.016
90. An inverse-problem approach to detect outliers in rainfall measurements of ground gauges for robust reservoir flood control operation C. Wu & F. Chou 10.1016/j.jhydrol.2023.129360
91. Ensemble of evolving data clouds and fuzzy models for weather time series prediction E. Soares et al. 10.1016/j.asoc.2017.12.032
92. Rainfall Data Modeling with Artificial Neural Networks Approach S. Astutik et al. 10.1088/1742-6596/2123/1/012029
93. ÜLKELERİN İNOVASYON PERFORMANSININ ÖLÇÜLMESİNDE YAPAY SİNİR AĞLARI, BULANIK DEMATEL TABANLI ANALİTİK AĞ SÜRECİ VE AĞIRLIK KISITLI VERİ ZARFLAMA ANALİZİ YAKLAŞIMLARININ BÜTÜNLEŞİK OLARAK KULLANILMASI VE BİR UYGULAMA E. ÇAKIN & A. ÖZDEMİR 10.24889/ifede.513623
94. Monthly Maximum Accumulated Precipitation Forecasting Using Local Precipitation Data and Global Climate Modes J. Sulaiman et al. 10.20965/jaciii.2014.p0999
95. Hydroclimate variability and long-lead forecasting of rainfall over Thailand by large-scale atmospheric variables N. Singhrattna et al. 10.1080/02626667.2011.633916
96. Assessing the vulnerability of hydrological infrastructure to flood damage in coastal cities of developing nations R. Ogie et al. 10.1016/j.compenvurbsys.2017.11.004
97. River Water Prediction Modeling Using Neural Networks, Fuzzy and Wavelet Coupled Model K. Parmar & R. Bhardwaj 10.1007/s11269-014-0824-7
98. Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran M. Fereidoon & M. Koch 10.3390/w10070964
99. Tollgate neural networks (TNN) model with time bound learning methodology for futuristic approach in climatic data analysis A. Raj et al. 10.1007/s40808-018-0495-0
100. Predictor selection method for the construction of support vector machine (SVM)‐based typhoon rainfall forecasting models using a non‐dominated sorting genetic algorithm T. Yang et al. 10.1002/met.1717
101. Prediction of Building’s Thermal Performance Using LSTM and MLP Neural Networks M. Martínez Comesaña et al. 10.3390/app10217439
102. Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand N. Salaeh et al. 10.3390/sym14081599
103. Shear Capacity Prediction of Extremely-Loaded Box Culvert on Elastic Soil Using Artificial Neural Network Y. Tuskan & D. Yıldırım Uncu 10.16984/saufenbilder.1281213
104. Forecasting rainfall using transfer entropy coupled directed–weighted complex networks H. Tongal & B. Sivakumar 10.1016/j.atmosres.2021.105531
105. Precipitation forecast with logistics regression methods for harvest optimization M. SAMASTI & T. KÜÇÜKDENİZ 10.31015/jaefs.2023.1.26
106. Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence Y. Chiang et al. 10.1016/j.ejrh.2022.101204
107. Improvement in District Scale Heavy Rainfall Prediction Over Complex Terrain of North East India Using Deep Learning O. Sharma et al. 10.1109/TGRS.2023.3322676
108. A prediction and evaluation system of the impact factors on the performance of the aerostatic slider D. Chen et al. 10.1016/j.rcim.2017.09.016
109. Precipitation Modeling by Polyhedral RCMARS and Comparison with MARS and CMARS A. Özmen et al. 10.1007/s10666-014-9404-8
110. Multi-step rainfall forecasting using deep learning approach S. Narejo et al. 10.7717/peerj-cs.514
111. Spatial Interpolation of GNSS Troposphere Wet Delay by a Newly Designed Artificial Neural Network Model M. Selbesoglu 10.3390/app9214688
112. Groundwater level as an input to monthly predicting of water level using various machine learning algorithms M. Sapitang et al. 10.1007/s12145-021-00654-x
113. Multiple data fusion for rainfall estimation using a NARX-based recurrent neural network – the development of the REIINN model M. Ang et al. 10.1088/1755-1315/17/1/012019
114. Accurate precipitation prediction with support vector classifiers: A study including novel predictive variables and observational data E. Ortiz-García et al. 10.1016/j.atmosres.2014.01.012
115. ST-GRF: Spatiotemporal graph neural networks for rainfall forecasting F. Zhang & Z. Shao 10.1016/j.dsp.2023.103989
116. Estimation of monthly and seasonal precipitation: A comparative study using data-driven methods versus hybrid approach M. Taghi Sattari et al. 10.1016/j.measurement.2020.108512
117. Spatio-topological network analysis of hydrological infrastructure as a decision support tool for flood mitigation in coastal mega-cities R. Ogie et al. 10.1177/0265813516637608
118. Matrix Approach for the Seasonal Infectious Disease Spread Prediction H. HIROSE et al. 10.1587/transfun.E98.A.2010
119. Performance assessment of rainfall forecasting models for urban Guwahati City using machine learning techniques and singular spectrum analysis S. Priya Ashok & S. Pekkat 10.2166/wcc.2024.465
120. Prediction of heavy rainfall days over a peninsular Indian station using the machine learning algorithms K. Subrahmanyam et al. 10.1007/s12040-021-01725-9
121. Optimizing hyperparameters of deep hybrid learning for rainfall prediction: a case study of a Mediterranean basin A. Elbeltagi et al. 10.1007/s12517-022-10098-2
122. An investigation on the relationship between the Hurst exponent and the predictability of a rainfall time series S. Chandrasekaran et al. 10.1002/met.1784
123. River flow time series using least squares support vector machines R. Samsudin et al. 10.5194/hess-15-1835-2011
124. Evaluation of climate change in northern Iran during the last four centuries by using dendroclimatology V. Gholami et al. 10.1007/s11069-016-2667-4
125. Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network A. Haidar & B. Verma 10.1109/ACCESS.2018.2880044
126. Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives S. Cramer et al. 10.1016/j.asoc.2018.05.016
127. A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency T. Kashiwao et al. 10.1016/j.asoc.2017.03.015
128. A comparison of monthly precipitation point estimates at 6 locations in Iran using integration of soft computing methods and GARCH time series model S. Mehdizadeh et al. 10.1016/j.jhydrol.2017.09.056
129. Radar Vertical Profile of Reflectivity Correction with TRMM Observations Using a Neural Network Approach Y. Wang et al. 10.1175/JHM-D-14-0136.1
130. Prediction of uranium adsorption capacity on biochar by machine learning methods T. Da et al. 10.1016/j.jece.2022.108449
131. Comparative performance of wavelet-based neural network approaches P. Anjoy & R. Paul 10.1007/s00521-017-3289-9
132. SMOTE and ExtraTreesRegressor based random forest technique for predicting Australian rainfall M. Irshada & V. Kumar 10.1007/s41870-023-01185-y
133. Streamflow forecasting using least-squares support vector machines A. Shabri & . Suhartono 10.1080/02626667.2012.714468
134. A comparison of three prediction models for predicting monthly precipitation in Liaoyuan city, China J. Luo et al. 10.2166/ws.2016.006
135. Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors P. Benevides et al. 10.3390/rs11080966
136. An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives S. Cramer et al. 10.1016/j.eswa.2017.05.029
137. Analysis of rainfall and large-scale predictors using a stochastic model and artificial neural network for hydrological applications in southern Africa P. Kenabatho et al. 10.1080/02626667.2015.1040021
138. An artificial neural network-based snow cover predictive modeling in the higher Himalayas B. Mishra et al. 10.1007/s11629-014-2985-5
139. Monthly Rainfall Prediction at Catchment Level with the Facebook Prophet Model Using Observed and CMIP5 Decadal Data M. Hossain et al. 10.3390/hydrology9060111
140. Type 2 Fuzzy Inference-Based Time Series Model N. Rahim et al. 10.3390/sym11111340
141. The Application of Decision Making Models in Sustainable Management of Environmental Systems A. Shobeirinejad et al. 10.1080/09720510.2015.1047571
142. Improving the forecast precision of river stage spatial and temporal distribution using drain pipeline knowledge coupled with BP artificial neural networks: a case study of Panlong River, Kunming, China Z. Xie et al. 10.1007/s11069-015-1648-3
143. Annual and Seasonal Rainfall Trends in an Equatorial Tropical River Basin in Malaysian Borneo M. Ninu Krishnan et al. 10.1007/s10666-018-9649-8
144. Artificial neural network for forecasting rainfall pattern in Prince Edward Island, Canada S. Khedhiri 10.1080/00207233.2014.961311
145. A Review on ANN Based Model for Solar Radiation and Wind Speed Prediction with Real-Time Data P. Malik et al. 10.1007/s11831-021-09687-3
146. Regional Analysis of Flow Duration Curves through Support Vector Regression M. Vafakhah & S. Khosrobeigi Bozchaloei 10.1007/s11269-019-02445-y
147. An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach X. Wang et al. 10.1080/02626667.2021.1937631
148. Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan M. Chhetri et al. 10.3390/rs12193174
149. Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling H. Han et al. 10.1186/s13677-023-00576-7
150. Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting M. Ali et al. 10.1016/j.atmosres.2018.07.005
151. Ensemble‐Based Neural Network Modeling for Hydrologic Forecasts: Addressing Uncertainty in the Model Structure and Input Variable Selection T. Kim et al. 10.1029/2019WR026262
152. Climate change impacts on the streamflow of Zarrineh River, Iran F. Yazdandoost & S. Moradian 10.1007/s40333-021-0091-4
153. Complex network analysis and robustness evaluation of spatial variation of monthly rainfall H. Tongal & B. Sivakumar 10.1007/s00477-023-02578-y
154. Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach M. Ali et al. 10.1080/02626667.2020.1808219
155. Precipitation pattern modeling using cross-station perception: regional investigation S. Sulaiman et al. 10.1007/s12665-018-7898-0
156. Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction S. Meshram et al. 10.1007/s11269-020-02672-8
157. Machine-learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia H. Tamiru & M. Wagari 10.1007/s40808-021-01175-8
158. Trend Analysis of Water Inflow Into the Dam Reservoirs Under Future Conditions Predicted By Dynamic NAR and NARX Models P. Pishgah Hadiyan et al. 10.1007/s11269-022-03170-9
159. Performance of conceptual and black-box models in flood warning systems M. Banihabib & R. Revelli 10.1080/23311916.2015.1127798
160. Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives S. Cramer et al. 10.1016/j.swevo.2019.01.008
161. Rain Attenuation Prediction Using Artificial Neural Network for Dynamic Rain Fade Mitigation M. Ahuna et al. 10.23919/SAIEE.2019.8643146
162. Rainy Day Prediction Model with Climate Covariates Using Artificial Neural Network MLP, Pilot Area: Central Italy M. Gentilucci & G. Pambianchi 10.3390/cli10080120
163. Investigation of Kelvin wave periods during Hai-Tang typhoon using Empirical Mode Decomposition P. Kishore et al. 10.1016/j.jastp.2017.07.025
164. Long-Term Rainfall Information Forecast by Utilizing Constrained Amount of Observation through Artificial Neural Network Approach M. Akiner & P. Nastos 10.1155/2021/5524611
165. A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands V. Gholami & M. Khaleghi 10.17221/90/2020-JFS
166. RETRACTED ARTICLE: Classification of rubberized coir fibres using deep learning-based neural fuzzy decision tree approach S. Remya & R. Sasikala 10.1007/s00500-019-03961-0
167. Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS T. Kim et al. 10.1016/j.jhydrol.2021.126423
168. Annual and Non-Monsoon Rainfall Prediction Modelling Using SVR-MLP: An Empirical Study From Odisha X. Zhang et al. 10.1109/ACCESS.2020.2972435
169. Coupling dynamical and statistical downscaling for high-resolution rainfall forecasting: case study of the Red River Delta, Vietnam Q. Tran Anh & K. Taniguchi 10.1186/s40645-018-0185-6
170. Modeling of monthly rainfall and runoff of Urmia lake basin using “feed-forward neural network” and “time series analysis” model J. Farajzadeh et al. 10.1016/j.wri.2014.10.003
171. A Relative Analysis of Modern ML Methods for Rainfall Prediction A. Huria et al. 10.51483/IJDSBDA.2.1.2022.10-19
172. Application of artificial neural network for forecasting standardized precipitation and evapotranspiration index: A case study of Nigeria A. Ogunrinde et al. 10.1002/eng2.12194
173. Spatiotemporal precipitation modeling by artificial intelligence-based ensemble approach V. Nourani et al. 10.1007/s12665-019-8755-5
174. Virtual weather stations for meteorological data estimations B. Franco et al. 10.1007/s00521-020-04727-8
175. Synergistic approach for streamflow forecasting in a glacierized catchment of western Himalaya using earth observation and machine learning techniques J. Dharpure et al. 10.1007/s12145-024-01322-6
176. Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York N. Yu & T. Haskins 10.3390/informatics8030047
177. Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management T. Phoophiwfa et al. 10.5194/hess-28-801-2024
178. Seasonal ARIMA Modeling and Forecasting of Rainfall in Warri Town, Nigeria D. Eni & F. Adeyeye 10.4236/gep.2015.36015
179. Study of Correlations between Climatic Parameters and Flood of the Maroon River Basin and flood Prediction by Smart Neural Network ص. فتوحی et al. 10.29252/jwmr.8.16.44
180. Investigation of Rainfall Forecast System Characteristics in Real-Time Optimal Operation of Urban Drainage Systems F. Jafari et al. 10.1007/s11269-020-02528-1
181. Artificial neural networks in proglacial discharge simulation: application and efficiency analysis in comparison to the multivariate regression; a case study of waldemar river (svalbard) M. Nowak & I. Sobota 10.1111/geoa.12089
182. Artificial neural network models for forecasting intermittent monthly precipitation in arid regions A. Dahamsheh & H. Aksoy 10.1002/met.127
183. Comparing ANN and ARIMA model in predicting the discharge of River Opeki from 2010 to 2020 O. Fashae et al. 10.1002/rra.3391
184. Evaluation of the Efficiency of Different Artificial Intelligence and Statistical Methods in Estimating the Amount of Runoff (Case Study: Shahid Noori Watershed of Kakhk, Gonabad) M. Zarei et al. 10.29252/jwmr.8.16.11
185. Prediction of rainfall using artificial neural networks for synoptic station of Mashhad: a case study N. Khalili et al. 10.1007/s12517-016-2633-1
186. Integration of Wavelet Transform with ANN and WNN for Time Series Forecasting: an Application to Indian Monsoon Rainfall M. Ray et al. 10.1007/s40009-020-00887-2
187. Reconstruction of Missing Hourly Precipitation Data to Increase Training Data Set for ANN H. Nagaraja et al. 10.4018/IJAEIS.2018010104
188. A real-time forecasting model for the spatial distribution of typhoon rainfall G. Lin & B. Jhong 10.1016/j.jhydrol.2014.12.009