@ARTICLE{
author={Shamshirband Shahaboddin,Mohammadi Kasra,Tong Chong Wen,Petkovic Dalibor,Porcu Emilio,Mostafaeipour Ali,Ch Sudheer,Sedaghat Ahmad},
year={2019},
title={RETRACTION: Application of extreme learning machine for estimation of wind speed distribution (Retraction of Vol 46, Pg 1893, 2016)},
journal={CLIMATE DYNAMICS},
volume={53},
number={5-6},
pages={3709-3709},
document_type={Retraction},
} 

@ARTICLE{
author={Shamshirband Shahaboddin,Mohammadi Kasra,Tong Chong Wen,Petkovic Dalibor,Porcu Emilio,Mostafaeipour Ali,Ch Sudheer,Sedaghat Ahmad},
year={2019},
title={RETRACTION: Application of extreme learning machine for estimation of wind speed distribution <font color="#ff3300"><strong>(Retraction of Vol 46, Pg 2025, 2016)</strong></font>},
journal={CLIMATE DYNAMICS},
volume={53},
number={3-4},
pages={2483-2483},
document_type={Retraction},
} 

@ARTICLE{
author={Shamshirband Shahaboddin,Petkovic Dalibor,Tong Chong Wen,TamahAl-Shammari Eiman},
year={2018},
title={Trend detection of wind speed probability distribution by adaptive neurofuzzy methodology (Retraction of Vol 45, Pg 43, 2015)},
journal={FLOW MEASUREMENT AND INSTRUMENTATION},
volume={61},
number={},
pages={96-96},
document_type={Retraction},
} 

@ARTICLE{
author={Petkovic Dalibor,Shamshirband Shahaboddin,Tong Chong Wen,Al-Shammari Eiman Tamah},
year={2018},
title={Generalized adaptive neuro-fuzzy based method for wind speed distribution prediction (Retraction Article) (Retraction of Vol 43, Pg 47, 2015)},
journal={FLOW MEASUREMENT AND INSTRUMENTATION},
volume={61},
number={},
pages={94-94},
document_type={Retraction},
} 

@ARTICLE{
author={Shamshirband Shahaboddin,Mohammadi Kasra,Tong Chong Wen,Petkovic Dalibor,Porcu Emilio,Mostafaeipour Ali,Ch Sudheer,Sedaghat Ahmad},
year={2016},
title={Application of extreme learning machine for estimation of wind speed distribution (vol 46, pg 1893, 2016)},
journal={CLIMATE DYNAMICS},
volume={46},
number={5-6},
pages={2025-2025},
document_type={Correction},
} 

@ARTICLE{
author={Cojbasic Zarko M,Petkovic Dalibor,Shamshirband Shahaboddin,Tong Chong Wen,Ch Sudheer,Jankovic Predrag Lj,Ducic Nedeljko G,Baralic Jelena C},
year={2016},
title={Surface roughness prediction by extreme learning machine constructed with abrasive water jet},
journal={PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
volume={43},
number={},
pages={86-92},
document_type={Article},
} 

@ARTICLE{
author={Shamshirband Shahaboddin,Petkovic Dalibor,Tong Chong Wen,Al-Shammari Eiman Tamah},
year={2015},
title={Trend detection of wind speed probability distribution by adaptive neuro-fuzzy methodology},
journal={FLOW MEASUREMENT AND INSTRUMENTATION},
volume={45},
number={},
pages={43-48},
document_type={Article},
} 

@ARTICLE{
author={Petkovic Dalibor,Shamshirband Shahaboddin,Tong Chong Wen,Al-Shammari Eiman Tamah},
year={2015},
title={Generalized adaptive neuro-fuzzy based method for wind speed distribution prediction},
journal={FLOW MEASUREMENT AND INSTRUMENTATION},
volume={43},
number={},
pages={47-52},
document_type={Article},
} 

@ARTICLE{
author={Piri Jamshid,Shamshirband Shahaboddin,Petkovic Dalibor,Tong Chong Wen,Rehman Muhammad Habib Ur},
year={2015},
title={Prediction of the solar radiation on the Earth using support vector regression technique},
journal={INFRARED PHYSICS & TECHNOLOGY},
volume={68},
number={},
pages={179-185},
document_type={Article},
} 

@ARTICLE{
author={Mohammadi Kasra,Shamshirband Shahaboddin,Tong Chong Wen,Alam Khubaib Amjad,Petkovic Dalibor},
year={2015},
title={Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year},
journal={ENERGY CONVERSION AND MANAGEMENT},
volume={93},
number={},
pages={406-413},
document_type={Article},
} 

@ARTICLE{
author={Mohammadi Kasra,Shamshirband Shahaboddin,Tong Chong Wen,Arif Muhammad,Petkovic Dalibor,Ch Sudheer},
year={2015},
title={A new hybrid support vector machine-wavelet transform approach for estimation of horizontal global solar radiation},
journal={ENERGY CONVERSION AND MANAGEMENT},
volume={92},
number={},
pages={162-171},
document_type={Article},
}