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Prediction of laser welding quality by computational intelligence approaches

Optik (Stuttgart), 2017-07, Vol.140, p.597-600

Petković, Dalibor

2017

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Adaptive neuro-fuzzy approach for estimation of wind speed distribution

International journal of electrical power & energy systems, 2015-12, Vol.73, p.389-392

Petković, Dalibor

2015

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Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran

Renewable & sustainable energy reviews, 2016-01, Vol.53, p.1570-1579

2016

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Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model

Renewable & sustainable energy reviews, 2016-04, Vol.56, p.428-435

2016

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Sensor Data Fusion by Support Vector Regression Methodology-A Comparative Study

IEEE sensors journal, 2015-02, Vol.15 (2), p.850-854

2015

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Evaluation of wind turbine noise by soft computing methodologies: A comparative study

Renewable & sustainable energy reviews, 2016-04, Vol.56, p.1122-1128

2016

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Adaptive neuro-fuzzy methodology for noise assessment of wind turbine

PloS one, 2014-07, Vol.9 (7), p.e103414

2014

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Extreme learning machine approach for sensorless wind speed estimation

Mechatronics (Oxford), 2016-03, Vol.34, p.78-83

2016

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Adaptive neuro fuzzy selection of important factors for prediction of plasmons in silver nanorods

Applied optics (2004), 2022-04, Vol.61 (10), p.2864-2868

2022

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Appraisal of information system for evaluation of kinetic parameters of biomass oxidation

Biomass conversion and biorefinery, 2023, Vol.13 (2), p.777-785

2023

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Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission

Energy (Oxford), 2014, Vol.64, p.868-874

2014

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Retraction Note to: Potential of support vector regression for solar radiation prediction in Nigeria

Natural hazards (Dordrecht), 2020-09, Vol.103 (3), p.3865-3866

2020

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Wind turbine power coefficient estimation by soft computing methodologies: Comparative study

Energy conversion and management, 2014-05, Vol.81, p.520-526

2014

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E-learning perspectives in higher education institutions

Technological forecasting & social change, 2021-05, Vol.166, p.120618, Article 120618

2021

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Expression of Concern: Hybrid auto-regressive neural network model for estimating global solar radiation in Bandar Abbas, Iran

Environmental earth sciences, 2020-07, Vol.79 (13), Article 344

2020

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Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

Renewable & sustainable energy reviews, 2015-11, Vol.51, p.1784-1791

2015

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E-monitoring of in vitro culture parameters for prediction of maximal biomass yields

Biomass conversion and biorefinery, 2022-12, Vol.12 (12), p.5677-5685

2022

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ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

Facta Universitatis. Series: Mechanical Engineering, 2016-08, Vol.14 (2), p.209-218

2016

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Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology

Energy (Oxford), 2015-02, Vol.80, p.361-372

2015

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A support vector machine–firefly algorithm-based model for global solar radiation prediction

Solar energy, 2015-05, Vol.115, p.632-644

2015

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A combined method to estimate wind speed distribution based on integrating the support vector machine with firefly algorithm

Environmental progress, 2016-05, Vol.35 (3), p.867-875

2016

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Comparative study of clustering methods for wake effect analysis in wind farm

Energy (Oxford), 2016-01, Vol.95, p.573-579

2016

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Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

Computers and electronics in agriculture, 2016-09, Vol.127, p.56-63

2016

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Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

Theoretical and applied climatology, 2016-05, Vol.124 (3-4), p.991-1004

2016

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A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation

Renewable & sustainable energy reviews, 2015-12, Vol.52, p.1031-1042

2015

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Prediction of laser welding quality by computational intelligence approaches

Adaptive neuro-fuzzy approach for estimation of wind speed distribution

Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran

Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model

Sensor Data Fusion by Support Vector Regression Methodology-A Comparative Study

Evaluation of wind turbine noise by soft computing methodologies: A comparative study

Adaptive neuro-fuzzy methodology for noise assessment of wind turbine

Extreme learning machine approach for sensorless wind speed estimation

Adaptive neuro fuzzy selection of important factors for prediction of plasmons in silver nanorods

Appraisal of information system for evaluation of kinetic parameters of biomass oxidation

Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission

Retraction Note to: Potential of support vector regression for solar radiation prediction in Nigeria

Wind turbine power coefficient estimation by soft computing methodologies: Comparative study

E-learning perspectives in higher education institutions

Expression of Concern: Hybrid auto-regressive neural network model for estimating global solar radiation in Bandar Abbas, Iran

Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

E-monitoring of in vitro culture parameters for prediction of maximal biomass yields

ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology

A support vector machine–firefly algorithm-based model for global solar radiation prediction

A combined method to estimate wind speed distribution based on integrating the support vector machine with firefly algorithm

Comparative study of clustering methods for wake effect analysis in wind farm

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation

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