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Journal of Intelligent Manufacturing

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14-01-2020 | Retraction Note

Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

Authors: Ali Toghroli, Meldi Suhatril, Zainah Ibrahim, Maryam Safa, Mahdi Shariati, Shahaboddin Shamshirband

Published in: Journal of Intelligent Manufacturing | Issue 5/2020

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The Editor-in-Chief has retracted this article (Toghroli et al. 2018) because validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited Cojbasic et al. 2016; Mazinani et al. 2016; Mohammadian et al. 2016; Mansourvar et al. 2015) and authorship manipulation. Meldi Suhatril, Zainah Ibrahim, Maryam Safa, Mahdi Shariati and Shahaboddin Shamshirband do not agree to this retraction. Ali Toghroli has not responded to any correspondence about this retraction. …

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Cojbasic, Z., et al. (2016). Surface roughness prediction by extreme learning machine constructed with abrasive water jet. Precision Engineering,43, 86–92. https://doi.org/10.1016/j.precisioneng.2015.06.013.CrossRef

Mansourvar, M., Shamshirband, S., Raj, R. G., Gunalan, R., & Mazinani, I. (2015). An automated system for skeletal maturity assessment by extreme learning machines. PLoS ONE,10(9), e0138493. https://doi.org/10.1371/journal.pone.0138493.CrossRef

Mazinani, I., et al. (2016). Estimation of Tsunami bore forces on a coastal bridge using an extreme learning machine. Entropy,18(5), 167. https://doi.org/10.3390/e18050167.CrossRef

Mohammadian, E., Motamedi, S., Shamshirband, S., et al. (2016). Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide. Environmental Earth Science,75, 215. https://doi.org/10.1007/s12665-015-4798-4.CrossRef

Toghroli, A., Suhatril, M., Ibrahim, Z., et al. (2018). Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam. Journal of Intelligent Manufacturing,29, 1793. https://doi.org/10.1007/s10845-016-1217-y.CrossRef

Title: Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
Authors: Ali Toghroli
Meldi Suhatril
Zainah Ibrahim
Maryam Safa
Mahdi Shariati
Shahaboddin Shamshirband
Publication date: 14-01-2020
Publisher: Springer US
Published in: Journal of Intelligent Manufacturing / Issue 5/2020
Print ISSN: 0956-5515
Electronic ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-019-01528-2

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