| Yazarlar (3) |
Uğurhan Kutbay
Gazi Üniversitesi, Türkiye |
Doç. Dr. Ali Berkan URAL
Kafkas Üniversitesi, Türkiye |
|
Fırat Hardalaç
Gazi Üniversitesi, Türkiye |
| Özet |
| In this study, ERT (Electrical Resistivity Tomography) profile clustering was aimed with using K-Means algorithm. For the Wenner sequence, at the end of the 84 measurement from 7 layers, underground image was obtained by using maximum 50 and 100 mA current adjustment. After this study, the metal mass which was buried under the ground was detected via k-Means algorithm. The best ERT image was obtained at 100 mA value. In addition, clustering process was done to help geophysical engineers to analyse easily. |
| Anahtar Kelimeler |
| Wenner | ERT | Electrical Profile | K-Means |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum |
| Doi Numarası | 10.1109/SIU.2015.7129886 |
| Bildiri Dili | İngilizce |
| Kongre Adı | IEEE, 23th Signal Processing and Communications Applications Conference (SIU), Malatya |
| Kongre Tarihi | 23-04-2015 / 26-04-2015 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir | Malatya |
| Bildiri Linki | https://ieeexplore.ieee.org/abstract/document/7129886 |
| Atıf Sayıları | |
| WoS | 4 |
| Google Scholar | 7 |
