Estimating daily reference evapotranspiration using a novel hybrid deep learning model

Atmospheric visibility prediction by using the DBN deeplearning model and principal component analysis

(2022) yufeng wang et al.   APPLIED OPTICS

A hybrid deep learning framework with physical process description for simulation of evapotranspiration

(2022) Han Chen et al.   JOURNAL OF HYDROLOGY

CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification

(2022) Wenjing Jiang et al.   Frontiers in Aging Neuroscience

The Intermittent Fault Diagnosis of Analog Circuits Based on EEMD-DBN

(2021) Ting Zhong et al.   NEUROCOMPUTING

Selecting models for the estimation of reference evapotranspiration for irrigation scheduling purposes

(2021) Lucas Borges Ferreira et al.   PLoS One

Heat of mixing profile, complexation curve and spectroscopic investigation of binary mixtures containing bicyclic Brønsted superbase DBN with hydrogen ethanoate

(2021) Gordon W. Driver et al.   JOURNAL OF CHEMICAL THERMODYNAMICS

Minimizing VPD Fluctuations Maintains Higher Stomatal Conductance and Photosynthesis, Resulting in Improvement of Plant Growth in Lettuce

(2021) Takayasu Inoue et al.   Frontiers in Plant Science

Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks

(2021) Francesco Granata et al.   AGRICULTURAL WATER MANAGEMENT

New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks

(2021) Ozge Cagcag Yolcu et al.   Journal of Cleaner Production

An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

(2021) Huiren Tian et al.   AGRICULTURAL AND FOREST METEOROLOGY

Medium-range forecasting of daily reference evapotranspiration across China using numerical weather prediction outputs downscaled by extreme gradient boosting

(2021) Junliang Fan et al.   JOURNAL OF HYDROLOGY

Nation-scale reference evapotranspiration estimation by using deep learning and classical machine learning models in China

(2021) Juan Dong et al.   JOURNAL OF HYDROLOGY

Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation

(2021) Xiaolong Hu et al.   JOURNAL OF HYDROLOGY

Experimental and DBN-Based neural network extraction of radiation attenuation coefficient of dry mixture shotcrete produced using different additives

(2021) Melda Alkan Çakıroğlu et al.   RADIATION PHYSICS AND CHEMISTRY

Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak

(2021) Nesrine Ben Yahia et al.   Big Data Research

Automatic stomata recognition and measurement based on improved YOLO deep learning model and entropy rate superpixel algorithm

(2021) Fan Zhang et al.   Ecological Informatics

SPSO-DBN based compensation algorithm for lackness of electric energy metering in micro-grid

(2021) Jinggeng Gao et al.   Alexandria Engineering Journal

Temporal convolution-network-based models for modeling maize evapotranspiration under mulched drip irrigation

(2020) Zhijun Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparative assessment of modelled and empirical reference evapotranspiration methods for a brazilian savanna

(2020) Luiz C.G. Valle Júnior et al.   AGRICULTURAL WATER MANAGEMENT

Application of a PCA-DBN-based surrogate model to robust aerodynamic design optimization

(2020) Jun TAO et al.   Chinese Journal of Aeronautics

Estimation of summer maize evapotranspiration using MARS model in the semi-arid region of northwest China

(2020) Xiaoqin Shan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data

(2020) Bin Zhu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Changes of cropland evapotranspiration and its driving factors on the loess plateau of China

(2020) Fengjiao Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models

(2020) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm

(2020) Saman Maroufpoor et al.   JOURNAL OF HYDROLOGY

Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

(2020) Zhiyong Cui et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)

(2020) Juan Yin et al.   AGRICULTURAL WATER MANAGEMENT

Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

(2020) Min Yan Chia et al.   AGRICULTURAL WATER MANAGEMENT

Comparative assessment of different reference evapotranspiration models towards a fit calibration for arid and semi-arid areas

(2020) Rachid Hadria et al.   JOURNAL OF ARID ENVIRONMENTS

Nucleation and growth of cholesteric collagen tactoids: A time-series statistical analysis based on integration of direct numerical simulation (DNS) and long short-term memory recurrent neural network (LSTM-RNN)

(2020) Sayyed Ahmad Khadem et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods

(2020) Zhijun Chen et al.   JOURNAL OF HYDROLOGY

Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China

(2020) Yong Yang et al.   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

Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations

(2019) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An Efficient Stochastic Gradient Descent Algorithm to Maximize the Coverage of Cellular Networks

(2019) Yaxi Liu et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China

(2019) Yixuan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

National-scale development and calibration of empirical models for predicting daily global solar radiation in China

(2019) Yu Feng et al.   ENERGY CONVERSION AND MANAGEMENT

Evapotranspiration estimation using four different machine learning approaches in different terrestrial ecosystems

(2018) Xianming Dou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Guided Stochastic Gradient Descent Algorithm for inconsistent datasets

(2018) Anuraganand Sharma   APPLIED SOFT COMPUTING

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evaluation of Reference Evapotranspiration Methods in Arid, Semiarid, and Humid Regions

(2017) Fei Gao et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

(2016) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Modeling reference evapotranspiration with calculated targets. Assessment and implications

(2015) Pau Martí et al.   AGRICULTURAL WATER MANAGEMENT

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed throughk-fold testing

(2015) Jalal Shiri et al.   HYDROLOGY RESEARCH

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed throughk-fold testing

(2015) Jalal Shiri et al.   Hydrology Research

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods

(2014) Mohammad Valipour   WATER RESOURCES MANAGEMENT

Spatial modelling of reference evapotranspiration using adjusted Blaney-Criddle equation in an arid environment

(2013) Hossein Tabari et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

(2013) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

Evaluation of gene expression programming approaches for estimating daily evaporation through spatial and temporal data scanning

(2012) Jalal Shiri et al.   HYDROLOGICAL PROCESSES