River Water Salinity Prediction Using Hybrid Machine Learning Models
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
River Water Salinity Prediction Using Hybrid Machine Learning Models
Authors
Keywords
-
Journal
Water
Volume 12, Issue 10, Pages 2951
Publisher
MDPI AG
Online
2020-10-23
DOI
10.3390/w12102951
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting
- (2020) I-Feng Kao et al. JOURNAL OF HYDROLOGY
- Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks
- (2020) Kaibo Shi et al. NEUROCOMPUTING
- Explore the relationship between fish community and environmental factors by machine learning techniques
- (2020) Jia-Hao Hu et al. ENVIRONMENTAL RESEARCH
- Research on water temperature prediction based on improved support vector regression
- (2020) Quan Quan et al. NEURAL COMPUTING & APPLICATIONS
- Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance
- (2020) Li-Chiu Chang et al. Nature Communications
- A comprehensive assessment framework for quantifying climatic and anthropogenic contributions to streamflow changes: A case study in a typical semi-arid North China basin
- (2020) Ke Zhang et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Advances in Hydrologic Forecasts and Water Resources Management
- (2020) Fi-John Chang et al. Water
- Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
- (2020) Saeed Nosratabadi et al. Mathematics
- Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts
- (2019) Yanlai Zhou et al. JOURNAL OF HYDROLOGY
- Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis
- (2019) Wei Chen et al. Natural Resources Research
- An adaptive differential evolution with combined strategy for global numerical optimization
- (2019) Gaoji Sun et al. SOFT COMPUTING
- A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
- (2019) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- The implementation of univariable scheme-based air temperature for solar radiation prediction: New development of dynamic evolving neural-fuzzy inference system model
- (2019) Ozgur Kisi et al. APPLIED ENERGY
- The potential of novel data mining models for global solar radiation prediction
- (2019) Ahmad Sharafati et al. International Journal of Environmental Science and Technology
- Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology
- (2019) Junxiang Zhu et al. AUTOMATION IN CONSTRUCTION
- Determination of compound channel apparent shear stress: application of novel data mining models
- (2019) Zohreh Sheikh Khozani et al. JOURNAL OF HYDROINFORMATICS
- Ground observation-based analysis of soil moisture spatiotemporal variability across a humid to semi-humid transitional zone in China
- (2019) Ke Zhang et al. JOURNAL OF HYDROLOGY
- Mapping Mineral Prospectivity via Semi-supervised Random Forest
- (2019) Jian Wang et al. Natural Resources Research
- Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control
- (2019) Kaibo Shi et al. FUZZY SETS AND SYSTEMS
- Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
- (2019) Seyed Vahid Razavi Termeh et al. HYDROGEOLOGY JOURNAL
- Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
- (2019) Junxiang Zhu et al. AUTOMATION IN CONSTRUCTION
- Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
- (2019) Khabat Khosravi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Physically-based landslide prediction over a large region: Scaling low-resolution hydrological model results for high-resolution slope stability assessment
- (2019) Sheng Wang et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Geographically weighted regression based methods for merging satellite and gauge precipitation
- (2018) Lijun Chao et al. JOURNAL OF HYDROLOGY
- Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree
- (2018) Salim Heddam et al. JOURNAL OF HYDROLOGY
- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- River suspended sediment modelling using the CART model: A comparative study of machine learning techniques
- (2018) Bahram Choubin et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Comparison of Support Vector Machines and Bayesian Algorithms for Landslide Susceptibility Modeling
- (2018) Binh Thai Pham et al. Geocarto International
- Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study
- (2018) Junqing Xie et al. JMIR mHealth and uHealth
- Complexity Analysis of Prefabrication Contractors’ Dynamic Price Competition in Mega Projects with Different Competition Strategies
- (2018) Jianbo Zhu et al. COMPLEXITY
- Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies
- (2018) Kaibo Shi et al. FUZZY SETS AND SYSTEMS
- Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile
- (2018) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Maximum Entropy and Random Forest Modeling of Mineral Potential: Analysis of Gold Prospectivity in the Hezuo–Meiwu District, West Qinling Orogen, China
- (2018) Shuai Zhang et al. Natural Resources Research
- Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest
- (2018) Hoang Nguyen et al. Natural Resources Research
- Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images
- (2018) Qiuping Jiang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Short-term forecasting of saltwater occurrence at La Comté River (French Guiana) using a kernel-based support vector machine
- (2017) J. Rohmer et al. Environmental Earth Sciences
- Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process
- (2017) Kaibo Shi et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation
- (2017) Kaibo Shi et al. ISA TRANSACTIONS
- Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions
- (2017) Dong Wen et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Secondary delay-partition approach on robust performance analysis for uncertain time-varying Lurie nonlinear control system
- (2017) Kaibo Shi et al. OPTIMAL CONTROL APPLICATIONS & METHODS
- Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model
- (2017) Rahim Barzegar et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- High-resolution transport-of-intensity quantitative phase microscopy with annular illumination
- (2017) Chao Zuo et al. Scientific Reports
- Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
- (2016) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique
- (2016) Khabat Khosravi et al. NATURAL HAZARDS
- Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
- (2016) Rahim Barzegar et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- A system of nonsmooth equations solver based upon subgradient method
- (2015) Qiang Long et al. APPLIED MATHEMATICS AND COMPUTATION
- A novel differential search algorithm and applications for structure design
- (2015) Jianjun Liu et al. APPLIED MATHEMATICS AND COMPUTATION
- Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model
- (2015) Masoud Ravansalar et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Medium-Term Urban Water Demand Forecasting with Limited Data Using an Ensemble Wavelet–Bootstrap Machine-Learning Approach
- (2015) Mukesh K. Tiwari et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Transport of intensity phase retrieval and computational imaging for partially coherent fields: The phase space perspective
- (2015) Chao Zuo et al. OPTICS AND LASERS IN ENGINEERING
- An ensemble wavelet bootstrap machine learning approach to water demand forecasting: a case study in the city of Calgary, Canada
- (2015) Mukesh K. Tiwari et al. Urban Water Journal
- Medium-Term Urban Water Demand Forecasting with Limited Data Using an Ensemble Wavelet–Bootstrap Machine-Learning Approach
- (2015) Mukesh K. Tiwari et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques
- (2014) Murat Ay et al. JOURNAL OF HYDROLOGY
- Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring
- (2013) A. Najah et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Suspended sediment modeling using genetic programming and soft computing techniques
- (2012) Ozgur Kisi et al. JOURNAL OF HYDROLOGY
- Dynamic Random Forests
- (2012) Simon Bernard et al. PATTERN RECOGNITION LETTERS
- Suspended sediment load prediction of river systems: An artificial neural network approach
- (2011) A.M. Melesse et al. AGRICULTURAL WATER MANAGEMENT
- Support vector machines in water quality management
- (2011) Kunwar P. Singh et al. ANALYTICA CHIMICA ACTA
- The assessment of spatial distribution of soil salinity risk using neural network
- (2011) Akmal Akramkhanov et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Simulation for response of crop yield to soil moisture and salinity with artificial neural network
- (2011) Xiaoqin Dai et al. FIELD CROPS RESEARCH
- Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado
- (2011) Murat Ay et al. JOURNAL OF ENVIRONMENTAL ENGINEERING
- Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis
- (2011) B. Khalil et al. JOURNAL OF HYDROLOGY
- A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction
- (2011) Shuangyin Liu et al. MATHEMATICAL AND COMPUTER MODELLING
- Classification and regression trees
- (2011) Wei-Yin Loh Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Artificial neural network and time series models for predicting soil salt and water content
- (2010) Ping Zou et al. AGRICULTURAL WATER MANAGEMENT
- A theoretical framework of a BIM-based multi-disciplinary collaboration platform
- (2010) Vishal Singh et al. AUTOMATION IN CONSTRUCTION
- Random Subspace Ensembles for fMRI Classification
- (2010) L.I. Kuncheva et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Multi-objective management of saltwater intrusion in coastal aquifers using genetic programming and modular neural network based surrogate models
- (2010) J. Sreekanth et al. JOURNAL OF HYDROLOGY
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
- (2010) Jan Adamowski et al. JOURNAL OF HYDROLOGY
- Artificial neural network model as a potential alternative for groundwater salinity forecasting
- (2010) Pallavi Banerjee et al. JOURNAL OF HYDROLOGY
- Artificial neural network modelling of concentrations of nitrogen, phosphorus and dissolved oxygen in a non-point source polluted river in Zhejiang Province, southeast China
- (2009) Dingjiang Chen et al. HYDROLOGICAL PROCESSES
- Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique
- (2008) Emrah Dogan et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started