T. BAKLACIOĞLU, "A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition," 27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016 , vol.2016-January, Rio de Janeiro, Brazil, pp.55-60, 2016
BAKLACIOĞLU, T. 2016. A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition. 27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016 , (Rio de Janeiro, Brazil), 55-60.
BAKLACIOĞLU, T., (2016). A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition . 27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016 (pp.55-60). Rio de Janeiro, Brazil
BAKLACIOĞLU, TOLGA. "A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition," 27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016, Rio de Janeiro, Brazil, 2016
BAKLACIOĞLU, TOLGA. "A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition." 27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016 , Rio de Janeiro, Brazil, pp.55-60, 2016
BAKLACIOĞLU, T. (2016) . "A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition." 27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016 , Rio de Janeiro, Brazil, pp.55-60.
@conferencepaper{conferencepaper, author={TOLGA BAKLACIOĞLU}, title={A machine learning model to predict NOx emission for turbofan engines of commercial aircraft during idle condition}, congress name={27th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA RIO-DE-JANEIRO 2016}, city={Rio de Janeiro}, country={Brazil}, year={2016}, pages={55-60} }