A novel method for lake level prediction: deep echo state network

Dissolved oxygen prediction using a new ensemble method

(2020) Ozgur Kisi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Deep echo state network: a novel machine learning approach to model dew point temperature using meteorological variables

(2020) Meysam Alizamir et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine

(2020) Lu Lv et al.   KNOWLEDGE-BASED SYSTEMS

Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies

(2020) Meysam Alizamir et al.   Acta Geophysica

A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions

(2020) Meysam Alizamir et al.   ENERGY

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

(2020) Meysam Alizamir et al.   PLoS One

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach

(2019) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

(2019) Ramendra Prasad et al.   CATENA

Seasonal water quality index and suitability of the water body to designated uses at the eastern catchment of Lake Hawassa

(2019) Fiseha Bekele Teshome   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

(2019) Mohanad S. AL-Musaylh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Estimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)

(2019) Chiara Giuliani et al.   European Journal of Remote Sensing

Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China

(2019) Linshan Yang et al.   CATENA

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees

(2018) Ana I.R. Cabral et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Local Lyapunov exponents of deep echo state networks

(2018) Claudio Gallicchio et al.   NEUROCOMPUTING

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Design of deep echo state networks

(2018) Claudio Gallicchio et al.   NEURAL NETWORKS

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine

(2018) Ankit Rajpal et al.   APPLIED SOFT COMPUTING

Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis

(2018) Ranjeeta Bisoi et al.   APPLIED SOFT COMPUTING

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Feature fusions for 2.5D face recognition in Random Maxout Extreme Learning Machine

(2018) Lee Ying Chong et al.   APPLIED SOFT COMPUTING

Side scan sonar image segmentation and synthesis based on extreme learning machine

(2018) Yan Song et al.   APPLIED ACOUSTICS

Deep Reservoir Neural Networks for Trees

(2018) Claudio Gallicchio et al.   INFORMATION SCIENCES

A learning system for automatic Berg Balance Scale score estimation

(2017) Davide Bacciu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prospective Interest of Deep Learning for Hydrological Inference

(2017) Jean Marçais et al.   Groundwater

Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

(2017) Meysam Alizamir et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

A hybrid wavelet-support vector machine model for prediction of Lake water level fluctuations using hydro-meteorological data

(2017) Basant Yadav et al.   MEASUREMENT

Spatiotemporal signal classification via principal components of reservoir states

(2017) Ashley Prater   NEURAL NETWORKS

Deep reservoir computing: A critical experimental analysis

(2017) Claudio Gallicchio et al.   NEUROCOMPUTING

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

(2017) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey

(2017) Mohammad Ali Ghorbani et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Prospective Interest of Deep Learning for Hydrological Inference

(2017) Jean Marçais et al.   Groundwater

Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China

(2016) B. Li et al.   HYDROLOGY RESEARCH

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products

(2016) Yumeng Tao et al.   JOURNAL OF HYDROMETEOROLOGY

A Probabilistic Nonlinear Model for Forecasting Daily Water Level in Reservoir

(2016) Monidipa Das et al.   WATER RESOURCES MANAGEMENT

Prediction of Water Level using Monthly Lagged Data in Lake Urmia, Iran

(2016) Babak Vaheddoost et al.   WATER RESOURCES MANAGEMENT

Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach

(2016) Jalal Shiri et al.   WATER RESOURCES MANAGEMENT

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting

(2016) Chuan Li et al.   WATER RESOURCES MANAGEMENT

Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China

(2016) B. Li et al.   Hydrology Research

A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm

(2015) Ozgur Kisi et al.   APPLIED MATHEMATICS AND COMPUTATION

Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models

(2015) Chih-Chieh Young et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Prediction of the Italian electricity price for smart grid applications

(2015) Emanuele Crisostomi et al.   NEUROCOMPUTING

Prediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Network

(2015) Fatih Üneş et al.   Periodica Polytechnica-Civil Engineering

Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models

(2015) Maryam Shafaei et al.   WATER RESOURCES MANAGEMENT

A genetic programming technique for lake level modeling

(2014) Ali Aytek et al.   HYDROLOGY RESEARCH

Inter-comparison of time series models of lake levels predicted by several modeling strategies

(2014) R. Khatibi et al.   JOURNAL OF HYDROLOGY

Estimation of the Change in Lake Water Level by Artificial Intelligence Methods

(2014) Meral Buyukyildiz et al.   WATER RESOURCES MANAGEMENT

Prediction of Urmia Lake Water-Level Fluctuations by Using Analytical, Linear Statistic and Intelligent Methods

(2013) Hossein Kakahaji et al.   WATER RESOURCES MANAGEMENT

Reservoir computing and extreme learning machines for non-linear time-series data analysis

(2012) J.B. Butcher et al.   NEURAL NETWORKS

Tree Echo State Networks

(2012) Claudio Gallicchio et al.   NEUROCOMPUTING

Forecasting daily lake levels using artificial intelligence approaches

(2011) Ozgur Kisi et al.   COMPUTERS & GEOSCIENCES

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Architectural and Markovian factors of echo state networks

(2011) Claudio Gallicchio et al.   NEURAL NETWORKS

Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

(2011) Jungho Im et al.   REMOTE SENSING OF ENVIRONMENT

Uncertainty analysis for the forecast of lake level fluctuations using ensembles of ANN and ANFIS models

(2010) Mansour Talebizadeh et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative study of Reservoir Computing strategies for monthly time series prediction

(2010) F. Wyffels et al.   NEUROCOMPUTING

Segment-constrained regression tree estimation of forest stand height from very high spatial resolution panchromatic imagery over a boreal environment

(2010) Brice Mora et al.   REMOTE SENSING OF ENVIRONMENT

Downscaling MODIS-derived maps using GIS and boosted regression trees: The case of frost occurrence over the arid Andean highlands of Bolivia

(2010) Robin Pouteau et al.   REMOTE SENSING OF ENVIRONMENT

Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey

(2009) Özgür Kişi   HYDROLOGICAL PROCESSES

Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey

(2009) Mesut Çimen et al.   JOURNAL OF HYDROLOGY

Impacts of the Yangtze River water transfer on the restoration of Lake Taihu

(2008) Weiping Hu et al.   ECOLOGICAL ENGINEERING

Modelling level change in lakes using neuro-fuzzy and artificial neural networks

(2008) Alpaslan Yarar et al.   JOURNAL OF HYDROLOGY