[1]. Hosseini, S.M., Ataei, M., Khalokakaei, R., Mikaeil, R., and Haghshenas, S.S. (2019). Investigating the role of the cooling and lubricant fluids on the performance of cutting disks (case study: hard rocks). Rudarsko-geološko-naftni zbornik. 34 (2): 13-24.
[2]. Hosseini, S. M., Ataei, M., Khalokakaei, R., Mikaeil, R., and Haghshenas, S.S. (2020). 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. 23 (1): 71-81.
[3]. Mikaeil, R., Mokhtarian, M., Shaffiee Haghshenas, S., Careddu, N., and Alipour, A. (2022). Assessing the system vibration of circular sawing machine in carbonate rock sawing process using experimental study and machine learning. Geotechnical and Geological Engineering. 40 (1): 103-119.
[4]. Aryafar, A., Mikaeil, R., Haghshenas, S.S., and Haghshenas, S.S. )2018(, Application of metaheuristic algorithms to optimal clustering of sawing machine vibration. Measurement, 124, 20-31.
[5]. Haghshenas, S.S., Faradonbeh, R.S., Mikaeil, R., Haghshenas, S.S., Taheri, A., Saghatforoush, A., and Dormishi, A. )2019). A new conventional criterion for the performance evaluation of gang saw machines. Measurement, 146, 159-170.
[6]. Dormishi, A., Ataei, M., Mikaeil, R., Khalokakaei, R., and Haghshenas, S.S. )2019(. Evaluation of gang saws' performance in the carbonate rock cutting process using feasibility of intelligent approaches. Eng. Sci. Technol. an Int, 22, 990-1000.
[7]. Mikaeil, R., Esmailzadeh, A., Aghaei, S., Haghshenas, S.S., Jafarpour, A., Mohammadi, J., and Ataei, M. )2021(. Evaluating the sawability of rocks by chain-saw machines using the promethee technique. Rudarsko Geološko Naftni Zbornik, 36, 25–36.
[8]. Shaffiee Haghshenas, S., Mikaeil, R., Esmaeilzadeh, A., Careddu, N., and Ataei, M. )2022). Statistical Study to Evaluate the Performance of Cutting Machine in Dimension Stone Cutting Process. JEM, 13, 53-67.
[9]. Mikaeil, R., Haghshenas, S.S., Ozcelik, Y., and Gharehgheshlagh, H.H. (2018). 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. Geotech. Geol. Eng, 36, 3779-3791.
[10]. Mikaeil, R., Ozcelik, Y., Ataei, M., and Shaffiee Haghshenas, S. )2019(. Application of harmony search algorithm to evaluate performance of diamond wire saw. JEM, 10, 27-36.
[11]. Mikaeil, R., Shaffiee Haghshenas, S., Ozcelik, Y., and Shaffiee Haghshenas, S. (2017). Development of intelligent systems to predict diamond wire saw performance. J. Soft Comput. Civ. Eng, 1, 52-69.
[12]. Mikaeil, R., Haghshenas, S.S., Haghshenas, S.S., and Ataei, M. (2018). Performance prediction of circular saw machine using imperialist competitive algorithm and fuzzy clustering technique. Neural Comput. Appl, 29, 283-292.
[13]. Esmaeilzadeh, A. and Shahriar, K. (2019). Shape effect of fractures on intensity and density of discreet fracture networks, Civil Engineering, 63, 465.
[14]. Esmaeilzadeh, A. and Shahriar, K. (2019). Optimized fuzzy c means–fuzzy covariance–fuzzy maximum likelihood estimation clustering method based on deferential evolutionary optimisation algorithm for identification of rock mass discontinuities sets, Period. Polytech. Chem. Eng., 63, 674-686.
[15]. Esmailzadeh, A., Mikaeil, R., Sadegheslam, G., Aryafar, A., and Hosseinzadeh Gharehgheshlagh, H. (2018). Selection of an appropriate method to extract the dimensional stones using fdahp & topsis techniques, J. Soft Comput. Civ. Eng., 2, 101-116.
[16]. Esmailzadeh, A., Behnam, S., Mikaeil, R., Naghadehi, M.Z., and Saei, S. (2017). Relationship between texture and uniaxial compressive strength of rocks, Civ. Eng. J., 3, 480-486.
[17]. Sharifzadeh, M., Kamali, A., Shahriar, K., Aalianvari, A., and Esmaeilzadeh, (2016). A. Effect of shape and size of sampling window on the determination of average length, intensity and density of trace discontinuity, In ISRM International Symposium-EUROCK, 1073-1078.
[18]. Bagherpour, R., Yarahmadi, R., Khademian, A., and Almasi, S.N. (2017). Safety survey of Iran's mines and comparison to some other countries. International journal of injury control and safety promotion. 24 (1): 3-9.
[19]. Hermanus, M.A. (2007). Occupational health and safety in mining-status, new developments, and concerns. J South Afr Inst Min Metall, 107, 531-538.
[20]. Joy, J. (2004). Occupational safety risk management in Australian mining. Occup, 54, 311-315.
[21]. Chehreghani, S.H., Alipour, A., and Eskandarzade, M. (2011) Rock mass excavatability estimation using artificial neural network. J. Geol. Soc. India, 78, 271-277.
[22]. Ersoy, M. (2013). The role of occupational safety measures on reducing accidents in marble quarries of Iscehisar region. Saf. Sci, 57, 293-302.
[23]. Bögöly, G. and Füzesi, F. (2022). Comparison of the probabilistic and deterministic slope stability analysis of a dolomite quarry in Hungar y. The Evolution of Geotech, 180.
[24]. Yenchek, M.R. and Sammarco, J.J. (2010). The potential impact of light emitting diode lighting on reducing mining injuries during operation and maintenance of lighting systems. Saf. Sci, 48, 1380-1386.
[25]. Ataei, M., Mikaiel, R., Sereshki, F., and Ghaysari, N. (2012). Predicting the production rate of diamond wire saw using statistical analysis. Arab. J. Geosci, 5, 1289-1295.
[26]. Ayyub, B.M. Risk Analysis in Engineering and Economics, 2nd Ed.; CRC Press, Taylor and Francis Group: Boca Raton, FL, USA, 2014.
[27]. Stamatis, D.H. Failure Mode and Effect Analysis: FMEA from Theory to Execution; Quality Press: Seattle, WA, USA, 2003.
[28]. Jakuba, S.R. (1987). Failure mode and effect analysis for reliability planning and risk evaluation, 33.
[29]. Yarahmadi, R., Bagherpour, R., and Khademian, A. 2014, Safety risk assessment of Iran's dimension stone quarries (Exploited by diamond wire cutting method). Saf. Sci, 63, 146-150.
[30]. Yari, M., Bagherpour, R., Khoshouei, M., and Pedram, H. (2020). Investigating a comprehensive model for evaluating occupational and environmental risks of dimensional stone mining. Rud. Geolosko Naft, 35, 15–26.
[31]. Denkena, B., Bergmann, B., and Rahner, B.H. (2021). A novel tool monitoring approach for diamond wire sawing. Prod. Eng, 1-8.
[32]. Rahimdel, M.J. (2021). Injury Analysis of Iran's Mining Workplaces. Rud. Geolosko Naft., 36, 15-23.
[33]. Siahuei, M.R.A., Ataei, M., Rafiee, R., and Sereshki, F. (2021). Assessment and Management of Safety Risks through Hierarchical Analysis in Fuzzy Sets Type 1 and Type 2: A Case Study (Faryab Chromite Underground Mines). Rud. Geolosko Naft, 36(3).
[34]. Kaafarani, R., and Abou Jaoude, G. (2022) Landslide hazard and risk level assessment of quarried slopes in Lebanon using drone imagery. The Evolution of Geotech, 506.
[35]. Wang, YM, Chin, KS, Poon, GKK, and Yang, JB. (2009) Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Syst. Appl, 36 (2): 1195-1207.
[36]. Bagherpour, R., Yarahmadi, R., and Khademian, A. (2015). Safety risk assessment of Iran's underground coal mines based on preventive and preparative measures. HERAFR. 21 (8): 2223-2238.
[37]. Sanmiquel, L., Bascompta, M., Rossell, J.M., Anticoi, H.F., and Guash, E. (2018). Analysis of occupational accidents in underground and surface mining in Spain using data-mining techniques. Int. J. Environ. Res. 15 (3): 462.
[38]. Dhillon, BS. (1999). Engineering Maintainability: How to Design for Reliability and Easy Maintenance. Elsevier.
[39]. Marras, G., and Careddu, N. Overview: Health and Safety in the Italian dimension stone quarrying industry. Transportation, 2, 0-08.
[40]. Komljenovic, D., Loiselle, G., and Kumral, M. (2017). Organization: A new focus on mine safety improvement in a complex operational and business environment. Int. J. Min. Sci, 27 (4): 617-625.
[41]. Chin, K.S., Chan, A., and Yang, J.B. (2008). Development of a fuzzy FMEA based product design system. Adv. Manuf. Technol, 36 (7): 633-649.
[42]. Muthelo, L., Mothiba, T.M., and Malema, R.N. (2021). Strategies to Enhance Compliance to Health and Safety Protocols within the South African Mining Environment. In (Ed.), Primary Health Care. IntechOpen.
[43]. Kiran, D.R. (2017). Total Quality Management: An Overview. Total Quality Management, 1-14.
[44]. Mikaeil, R., Shaffiee Haghshenas, S., and Sedaghati, Z. (2019). Geotechnical risk evaluation of tunneling projects using optimization techniques (case study: the second part of Emamzade Hashem tunnel). Natural Hazards. 97 (3): 1099-1113.
[45]. Chen, L., Jiao, J., and Zhao, T. (2020). A Novel Hazard Analysis and Risk Assessment Approach for Road Vehicle Functional Safety through Integrating STPA with FMEA. Appl. Sci, 10 (21): 7400.
[46]. Basu, S. Plant hazard analysis and safety instrumentation systems. Elsevier, London. 2017.
[47]. Chia, W.M.D, Keoh, S.L, Michala, A.L, and Goh, C. (2021). Real-time recursive risk assessment framework for autonomous vehicle operations. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) (pp. 1-7). IEEE.
[48]. Ersoy, M., Eleren, A., and Kayacan, S. (2017). An application of failure mode and effect analysis on improving occupational health and safety process of marble factories. Int J Nat Disaster Health Secur. 4 (1): 22-29.
[49]. Gul, M. and Ak, M.F. (2021). A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of TOPSIS method: case study in a marble manufacturing facility. Soft Comput. 25 (8): 6157-6178.
[50]. Mikaeil, R., Soltani, B., Alipour, A., and Jafarpour, A. (2022). Evaluating of Safety and Economic Challenges in Dimensional Stone Quarries of Western-Azerbaijan Province Using FMEA Method. J. Eng. Geol., 14 (4).