DeepEvap: Deep reinforcement learning based ensemble approach for estimating reference evapotranspiration

Dynamic ensemble wind speed prediction model based on hybrid deep reinforcement learning

(2021) Chao Chen et al.   ADVANCED ENGINEERING INFORMATICS

A Dynamic Ensemble Learning Algorithm based on K-means for ICU mortality prediction

(2021) Chonghui Guo et al.   APPLIED SOFT COMPUTING

Stock trading rule discovery with double deep Q-network

(2021) Yong Shi et al.   APPLIED SOFT COMPUTING

On the suitability of stacking-based ensembles in smart agriculture for evapotranspiration prediction

(2021) Juan Martín et al.   APPLIED SOFT COMPUTING

A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images

(2021) Hamad Naeem et al.   APPLIED SOFT COMPUTING

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

(2020) Yazid Tikhamarine et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

A stacking-based ensemble learning method for earthquake casualty prediction

(2020) Shaoze Cui et al.   APPLIED SOFT COMPUTING

Modeling reference evapotranspiration in island environments: Assessing the practical implications

(2019) Jalal Shiri   JOURNAL OF HYDROLOGY

Evapotranspiration evaluation models based on machine learning algorithms—A comparative study

(2019) Francesco Granata   AGRICULTURAL WATER MANAGEMENT

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach

(2019) Lucas Borges Ferreira et al.   JOURNAL OF HYDROLOGY

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

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

Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso

(2018) Hai Tao et al.   AGRICULTURAL WATER MANAGEMENT

Improving the performance of the mass transfer-based reference evapotranspiration estimation approaches through a coupled wavelet-random forest methodology

(2018) Jalal Shiri   JOURNAL OF HYDROLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm

(2018) Zhongshan Yang et al.   APPLIED ENERGY

Ensemble based fuzzy weighted extreme learning machine for gene expression classification

(2018) Yang Wang et al.   APPLIED INTELLIGENCE

Research and application of ensemble forecasting based on a novel multi-objective optimization algorithm for wind-speed forecasting

(2017) Zongxi Qu et al.   ENERGY CONVERSION AND MANAGEMENT

Deployment of artificial neural network for short-term forecasting of evapotranspiration using public weather forecast restricted messages

(2016) Seydou Traore et al.   AGRICULTURAL WATER MANAGEMENT

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

(2016) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China

(2016) Yu Feng et al.   JOURNAL OF HYDROLOGY

Support vector machine based modeling of evapotranspiration using hydro-climatic variables in a sub-tropical environment

(2015) N.K. Shrestha et al.   AGRICULTURAL AND FOREST METEOROLOGY

Crop evapotranspiration estimation with FAO56: Past and future

(2015) Luis S. Pereira et al.   AGRICULTURAL WATER MANAGEMENT

Soft computing approaches for forecasting reference evapotranspiration

(2015) Milan Gocić et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

(2015) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Particle swarm optimization-based radial basis function network for estimation of reference evapotranspiration

(2015) Dalibor Petković et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions

(2015) Xiaohu Wen et al.   WATER RESOURCES MANAGEMENT

Estimation of Daily Reference Evapotranspiration (ET0) in the North of Algeria Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR) Models: A Comparative Study

(2014) Ibtissem Ladlani et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models

(2014) Hao Chen et al.   Energies

An innovative remote sensing based reference evapotranspiration method to support irrigation water management under semi-arid conditions

(2013) M. Cruz-Blanco et al.   AGRICULTURAL WATER MANAGEMENT

Evaluation and calibration of simple methods for daily reference evapotranspiration estimation in humid East China

(2012) Junzeng Xu et al.   Archives of Agronomy and Soil Science

Service-oriented approach for modeling and estimating reference evapotranspiration

(2011) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa

(2011) Seydou Traore et al.   IRRIGATION SCIENCE

A novel hybrid CNN–SVM classifier for recognizing handwritten digits

(2011) Xiao-Xiao Niu et al.   PATTERN RECOGNITION

Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China

(2010) Risheng Ding et al.   AGRICULTURAL WATER MANAGEMENT

Fuzzy Genetic Approach for Modeling Reference Evapotranspiration

(2009) Ozgur Kisi   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

The potential of different ANN techniques in evapotranspiration modelling

(2007) Ozgur Kisi   HYDROLOGICAL PROCESSES

Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling

(2007) Sungwon Kim et al.   JOURNAL OF HYDROLOGY