Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model

Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach

(2022) Roozbeh Moazenzadeh et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation

(2022) Francesco Camastra et al.   ENVIRONMENTAL MODELLING & SOFTWARE

XGBoost algorithm-based prediction of safety assessment for pipelines

(2022) Wei Liu et al.   INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

Warming-induced greenhouse gas fluxes from global croplands modified by agricultural practices: A meta-analysis

(2022) Hui Gao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method

(2022) Maliheh Abbaszadeh et al.   COMPUTERS & GEOSCIENCES

PM2.5 volatility prediction by XGBoost-MLP based on GARCH models

(2022) Hongbin Dai et al.   Journal of Cleaner Production

Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models

(2022) Mahdi Panahi et al.   JOURNAL OF HYDROLOGY

Comparison of machine learning and dynamic models for predicting actual vapour pressure when psychrometric data are unavailable

(2022) Rangjian Qiu et al.   JOURNAL OF HYDROLOGY

A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19

(2022) Itai Bendavid et al.   Scientific Reports

An online state of health estimation technique for lithium-ion battery using artificial neural network and linear interpolation

(2022) Yi-Feng Luo et al.   Journal of Energy Storage

Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea

(2022) Samad Emamgholizadeh et al.   Ain Shams Engineering Journal

Multiple imputation method of missing credit risk assessment data based on generative adversarial networks

(2022) Feng Zhao et al.   APPLIED SOFT COMPUTING

Application of XGBoost algorithm in the optimization of pollutant concentration

(2022) Jiangtao Li et al.   ATMOSPHERIC RESEARCH

Missing data imputation using utility-based regression and sampling approaches

(2022) Halimu N. Haliduola et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors – A modified dynamic parallel three-stage network DEA model

(2022) Liang-Chun Lu et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation

(2022) Shuhan Liu et al.   ENERGY

Prediction of rail-wheel contact parameters for a metro coach using machine learning

(2022) Sudhir Kumar Singh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Missing data in prediction research: A five step approach for multiple imputation, illustrated in the CENTER-TBI study

(2021) Benjamin Gravesteijn et al.   JOURNAL OF NEUROTRAUMA

Performance Analysis of Daily Global Solar Radiation Models in Peru by Regression Analysis

(2021) Babak Mohammadi et al.   Atmosphere

A hybrid classification method for Twitter spam detection based on differential evolution and random forest

(2021) Sepideh Bazzaz Abkenar et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

An optimized XGBoost method for predicting reservoir porosity using petrophysical logs

(2021) Shaowei Pan et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Chunk-wise regularised PCA-based imputation of missing data

(2021) A. Iodice D’Enza et al.   Statistical Methods and Applications

Short-term forecasting of global solar irradiance in tropical environments with incomplete data

(2021) Laura S. Hoyos-Gómez et al.   APPLIED ENERGY

Country-level evaluation of solar radiation data sets using ground measurements in China

(2021) Qimeng Cao et al.   ENERGY

Evaluation of geoelectrical models efficiency for coastal seawater intrusion by applying uncertainty analysis

(2021) Amin Zeynolabedin et al.   JOURNAL OF HYDROLOGY

Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls

(2021) De-Cheng Feng et al.   JOURNAL OF STRUCTURAL ENGINEERING

Solar radiation estimation in different climates with meteorological variables using Bayesian model averaging and new soft computing models

(2021) Guodao Zhang et al.   Energy Reports

Improving solar radiation estimation in China based on regional optimal combination of meteorological factors with machine learning methods

(2020) Chuan He et al.   ENERGY CONVERSION AND MANAGEMENT

Outdoor thermal perception and comfort conditions in the Köppen-Geiger climate category BSk. One-year field survey and measurement campaign in Konya, Turkey

(2020) Fatih Canan et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Machine learning for site-adaptation and solar radiation forecasting

(2020) Gabriel Narvaez et al.   RENEWABLE ENERGY

A Differential Evolution Approach to Optimize Weights of Dynamic Time Warping for Multi-Sensor Based Gesture Recognition

(2019) James Rwigema et al.   SENSORS

Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme

(2019) Tao et al.   Energies

Solar radiation as a prospective energy source for green and economic processes in the food industry: From waste biomass valorization to dehydration, cooking, and baking

(2019) Francisco J. Barba et al.   JOURNAL OF CLEANER PRODUCTION

Missing value imputation for short to mid-term horizontal solar irradiance data

(2018) Haydar Demirhan et al.   APPLIED ENERGY

A review on missing hydrological data processing

(2018) Yongbo Gao et al.   Environmental Earth Sciences

Solar energy: Potential and future prospects

(2018) Ehsanul Kabir et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Effects of changing spectral radiation distribution on the performance of photodiode pyranometers

(2016) Frank Vignola et al.   SOLAR ENERGY

Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns

(2015) Esther-Lydia Silva-Ramírez et al.   APPLIED SOFT COMPUTING

Data imputation via evolutionary computation, clustering and a neural network

(2015) Chandan Gautam et al.   NEUROCOMPUTING

Restoration of long-term missing gaps in solar radiation

(2014) Oluwaseyi T. Ogunsola et al.   ENERGY AND BUILDINGS

A hybrid clustering algorithm based on missing attribute interval estimation for incomplete data

(2014) Li Zhang et al.   PATTERN ANALYSIS AND APPLICATIONS

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

(2014) Concepción Turrado et al.   SENSORS

Comparison of missing value imputation methods in time series: the case of Turkish meteorological data

(2012) Ceylan Yozgatligil et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A Review of Hot Deck Imputation for Survey Non-response

(2010) Rebecca R. Andridge et al.   INTERNATIONAL STATISTICAL REVIEW

Imputation of missing values for compositional data using classical and robust methods

(2009) K. Hron et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Comment on ‘Nourani V, Mogaddam AA, Nadiri AO. 2008. An ANN-based model for spatiotemporal groundwater level forecasting.Hydrological Processes22: 5054-5066’

(2009) Ozgur Kisi   HYDROLOGICAL PROCESSES

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Quality control of global solar radiation using sunshine duration hours

(2008) I MORADI   ENERGY