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Saffet Yagiz

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Journal Articles

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2024
[j7]
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  - journals/eaai/GhorbaniY24
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  - https://dblp.org/rec/journals/eaai/GhorbaniY24
Ebrahim Ghorbani, Saffet Yagiz:
Estimating the penetration rate of tunnel boring machines via gradient boosting algorithms. Eng. Appl. Artif. Intell. 136: 108985 (2024)
2021
[j6]
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  - journals/eaai/ZhouQZALNY21
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Jian Zhou, Yingui Qiu, Shuangli Zhu, Danial Jahed Armaghani, Chuanqi Li, Hoang Nguyen, Saffet Yagiz:
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. Eng. Appl. Artif. Intell. 97: 104015 (2021)
2017
[j5]
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  - journals/ewc/KhandelwalFMAMY17
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Manoj Khandelwal, Roohollah Shirani Faradonbeh, Masoud Monjezi, Danial Jahed Armaghani, Muhd Zaimi Bin Abd. Majid, Saffet Yagiz:
Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models. Eng. Comput. 33(1): 13-21 (2017)
2016
[j4]
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  - journals/ewc/ArmaghaniMHYM16
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Danial Jahed Armaghani, Edy Tonnizam Mohamad, Mohsen Hajihassani, Saffet Yagiz, Hossein Motaghedi:
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances. Eng. Comput. 32(2): 189-206 (2016)
2012
[j3]
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  - journals/jifs/SenSGY12
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Sevil Sen, Ebru Akcapinar Sezer, Candan Gokceoglu, Saffet Yagiz:
On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system. J. Intell. Fuzzy Syst. 23(6): 297-304 (2012)
2010
[j2]
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  - journals/eswa/YagizG10
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Saffet Yagiz, Candan Gokceoglu:
Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness. Expert Syst. Appl. 37(3): 2265-2272 (2010)
2009
[j1]
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  - journals/eaai/YagizGSI09
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Saffet Yagiz, Candan Gokceoglu, Ebru Akcapinar Sezer, Serdar Iplikci:
Application of two non-linear prediction tools to the estimation of tunnel boring machine performance. Eng. Appl. Artif. Intell. 22(4-5): 808-814 (2009)

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