[1] Tutmez BÜ, Kahraman S, Gunaydin O. Multifactorial fuzzy approach to the sawability classification of building stones. Construction and Building Materials. 2007 Aug 1;21(8):1672-9.
[View at Google Scholar] ;
[View at Publisher]
[3] Mikaeil R, Yousefi R, Ataei M. Sawability ranking of carbonate rock using fuzzy analytical hierarchy process and TOPSIS approaches. Scientia Iranica. 2011 Oct 1;18(5):1106-15.
[View at Google Scholar] ;
[View at Publisher]
[4] Ghaysari N, Ataei M, Sereshki F, Mikaiel R. Prediction of performance of diamond wire saw with respect to texture characteristics of rock. Archives of Mining Sciences. 2012;57(4).
[View at Google Scholar] ;
[View at Publisher]
[5] Ataei M, Mikaiel R, Sereshki F, Ghaysari N. Predicting the production rate of diamond wire saw using statistical analysis. Arabian Journal of Geosciences. 2012 Nov 1;5(6):1289-95.
[View at Google Scholar] ;
[View at Publisher]
[6] Ataei M, Mikaeil R, Hoseinie SH, Hosseini SM. Fuzzy analytical hierarchy process approach for ranking the sawability of carbonate rock. International Journal of Rock Mechanics and Mining Sciences. 2012 Feb 1;50:83-93.
[View at Google Scholar] ;
[View at Publisher]
[7] Mikaeil R, Ozcelik Y, Yousefi R, Ataei M, Hosseini SM. Ranking the sawability of ornamental stone using Fuzzy Delphi and multi-criteria decision-making techniques. International Journal of Rock Mechanics and Mining Sciences. 2013 Feb 1;58:118-26.
[View at Google Scholar] ;
[View at Publisher]
[8] Sadegheslam G, Mikaeil R, Rooki R, Ghadernejad S, Ataei M. Predicting the production rate of diamond wire saws using multiple nonlinear regression analysis. Geosystem engineering. 2013 Dec 1;16(4):275-85.
[View at Google Scholar] ;
[View at Publisher]
[10] Kuki Á, Nagy L, Zsuga M, Kéki S. Fast identification of phthalic acid esters in poly (vinyl chloride) samples by direct analysis in real time (DART) tandem mass spectrometry. International Journal of Mass Spectrometry. 2011 Jun 1;303(2-3):225-8.
[View at Google Scholar] ;
[View at Publisher]
[11] Aryafar A, Mikaeil R. Estimation of the ampere consumption of dimension stone sawing machine using of artificial neural networks. International Journal of Mining and Geo-Engineering. 2016 Jun 1;50(1):121-30.
[View at Google Scholar] ;
[View at Publisher]
[13] Almasi SN, Bagherpour R, Mikaeil R, Ozcelik Y, Kalhori H. Predicting the building stone cutting rate based on rock properties and device pullback amperage in quarries using M5P model tree. Geotechnical and Geological Engineering. 2017 Aug;35(4):1311-26.
[View at Google Scholar] ;
[View at Publisher]
[14] Almasi SN, Bagherpour R, Mikaeil R, Ozcelik Y. Analysis of bead wear in diamond wire sawing considering the rock properties and production rate. Bulletin of Engineering Geology and the Environment. 2017 Nov;76(4):1593-607.
[View at Google Scholar] ;
[View at Publisher]
[15] Almasi SN, Bagherpour R, Mikaeil R, Ozcelik Y. Developing a new rock classification based on the abrasiveness, hardness, and toughness of rocks and PA for the prediction of hard dimension stone sawability in quarrying. Geosystem Engineering. 2017 Nov 2;20(6):295-310.
[View at Google Scholar] ;
[View at Publisher]
[16] Akhyani M, Sereshki F, Mikaeil R, Taji M. Evaluation of cutting performance of diamond saw machine using artificial bee colony (ABC) algorithm. International Journal of Mining and Geo-Engineering. 2017 Dec 1;51(2):185-90.
[View at Google Scholar] ;
[View at Publisher]
[17] Kamran MA, Khoshsirat M, Mikaeil R, Nikkhoo F. Ranking the sawability of ornamental and building stones using different MCDM methods. Journal of Engineering Research. 2017 Nov 2;5(3
). [View at Google Scholar] ;
[View at Publisher]
[19] Aryafar A, Mikaeil R, Doulati Ardejani F, Shaffiee Haghshenas S, Jafarpour A. Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters. Journal of Mining and Environment. 2019 Apr 1;10(2):327-37.
[View at Google Scholar] ;
[View at Publisher]
[20] Aryafar A, Mikaeil R, Shafiee Haghshenas S, Shafiei Haghshenas S. Utilization of soft computing for evaluating the performance of stone sawing machines, Iranian Quarries. International Journal of Mining and Geo-Engineering. 2018 Jun 1;52(1):31-6.
[View at Google Scholar] ;
[View at Publisher]
[21] Akhyani M, Sereshki F, Mikaeil R. An investigation of the effect of toughness and brittleness indexes on ampere consumption and wear rate of a circular diamond saw. Rudarsko-geološko-naftni zbornik. 2018 Jul 3;33(4).
[View at Google Scholar] ;
[View at Publisher]
[22] Sattar AM, Ertuğrul ÖF, Gharabaghi B, McBean EA, Cao J. Extreme learning machine model for water network management. Neural Computing and Applications. 2019 Jan;31(1):157-69.
[View at Google Scholar] ;
[View at Publisher]
[23] Mikaeil R, Haghshenas SS, Ozcelik Y, Gharehgheshlagh HH. Performance evaluation of adaptive neuro-fuzzy inference system and group method of data handling-type neural network for estimating wear rate of diamond wire saw. Geotechnical and Geological Engineering. 2018 Dec;36(6):3779-91.
[View at Google Scholar] ;
[View at Publisher]
[24] Tumac D, Shaterpour-Mamaghani A. Estimating the sawability of large diameter circular saws based on classification of natural stone types according to the geological origin. International Journal of Rock Mechanics and Mining Sciences. 2018 Jan 1;101:18-32.
[View at Google Scholar] ;
[View at Publisher]
[25] Akhyani M, Mikaeil R, Sereshki F, Taji M. Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process. Journal of Mining and Environment. 2019 Jul 1;10(3):559-74.
[View at Google Scholar] ;
[View at Publisher]
[26] Dormishi AR, Ataei M, Khaloo Kakaie R, Mikaeil R, Shaffiee Haghshenas S. Performance evaluation of gang saw using hybrid ANFIS-DE and hybrid ANFIS-PSO algorithms. Journal of Mining and Environment. 2019 Apr 1;10(2):543-57.
[View at Google Scholar] ;
[View at Publisher]
[27] Dormishi A, Ataei M, Mikaeil R, Khalokakaei R, Haghshenas SS. Evaluation of gang saws’ performance in the carbonate rock cutting process using feasibility of intelligent approaches. Engineering Science and Technology, an International Journal. 2019 Jun 1;22(3):990-1000.
[View at Google Scholar] ;
[View at Publisher]
[28] Haghshenas SS, Faradonbeh RS, Mikaeil R, Haghshenas SS, Taheri A, Saghatforoush A, Dormishi A. A new conventional criterion for the performance evaluation of gang saw machines. Measurement. 2019 Nov 1;146:159-70.
[View at Google Scholar] ;
[View at Publisher]
[29] Hosseini SM, Ataei M, Khalokakaei R, Mikaeil R. An experimental investigation on the role of coolant and lubricant fluids in the maximum electrical current based upon the rock physical and mechanical properties. Geotechnical and Geological Engineering. 2020 Apr;38(2):2317-26.
[View at Google Scholar] ;
[View at Publisher]
[30] Mikaeil R, Ozcelik Y, Ataei M, Shaffiee Haghshenas S. Application of harmony search algorithm to evaluate performance of diamond wire saw. Journal of Mining and Environment. 2019 Jan 1;10(1):27-36.
[View at Google Scholar] ;
[View at Publisher]
[31] Mohammadi J, Ataei M, Kakaie R, Mikaeil R, Shaffiee Haghshenas S. Performance evaluation of chain saw machines for dimensional stones using feasibility of neural network models. Journal of Mining and Environment. 2019 Oct 1;10(4):1105-19.
[View at Google Scholar] ;
[View at Publisher]
[32] Hadad M, Makarian J. Experimental investigation of the effects of dressing and coolant-lubricant conditions on grinding of Nickel-based superalloy-Inconel 738. Energy Equipment and Systems. 2021 Mar 1;9(1):27-36.
[View at Google Scholar] ;
[View at Publisher]
[33] Hosseini SM, Ataei M, Khalokakaei R, Mikaeil R, Haghshenas SS. Study of the effect of the cooling and lubricant fluid on the cutting performance of dimension stone through artificial intelligence models. Engineering Science and Technology, an International Journal. 2020 Feb 1;23(1):71-81.
[View at Google Scholar] ;
[View at Publisher]