H. Çıtakoğlu Et Al. , "Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique," 5th International Eurasian Conference on Science, Engineering and Technology , vol.1, no.1, Ankara, Turkey, pp.77, 2024
Çıtakoğlu, H. Et Al. 2024. Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique. 5th International Eurasian Conference on Science, Engineering and Technology , (Ankara, Turkey), 77.
Çıtakoğlu, H., İlkentapar, M., & Akşit, S., (2024). Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique . 5th International Eurasian Conference on Science, Engineering and Technology (pp.77). Ankara, Turkey
Çıtakoğlu, Hatice, Mücella İlkentapar, And SERHAT AKŞİT. "Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique," 5th International Eurasian Conference on Science, Engineering and Technology, Ankara, Turkey, 2024
Çıtakoğlu, Hatice Et Al. "Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique." 5th International Eurasian Conference on Science, Engineering and Technology , Ankara, Turkey, pp.77, 2024
Çıtakoğlu, H. İlkentapar, M. And Akşit, S. (2024) . "Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique." 5th International Eurasian Conference on Science, Engineering and Technology , Ankara, Turkey, p.77.
@conferencepaper{conferencepaper, author={Hatice Çıtakoğlu Et Al. }, title={Hybrid machine learning models for precipitation at Sakarya Station: An evaluation of Tunable Q-Factor Wavelet Transform decomposition technique}, congress name={5th International Eurasian Conference on Science, Engineering and Technology}, city={Ankara}, country={Turkey}, year={2024}, pages={77} }