Information Journal Paper
APA:
CopyZADKARAMI, MORTEZA, SHAHBAZIAN, MEHDI, & SALAHSHOOR, KARIM. (2016). OIL PIPELINE LEAK DIAGNOSIS USING WAVELET TRANSFORM AND STATISTICAL FEATURES WITH ARTIFICIAL NEURAL NETWORK APPLICATION. MODARES MECHANICAL ENGINEERING, 16(9), 107-112. SID. https://sid.ir/paper/179771/en
Vancouver:
CopyZADKARAMI MORTEZA, SHAHBAZIAN MEHDI, SALAHSHOOR KARIM. OIL PIPELINE LEAK DIAGNOSIS USING WAVELET TRANSFORM AND STATISTICAL FEATURES WITH ARTIFICIAL NEURAL NETWORK APPLICATION. MODARES MECHANICAL ENGINEERING[Internet]. 2016;16(9):107-112. Available from: https://sid.ir/paper/179771/en
IEEE:
CopyMORTEZA ZADKARAMI, MEHDI SHAHBAZIAN, and KARIM SALAHSHOOR, “OIL PIPELINE LEAK DIAGNOSIS USING WAVELET TRANSFORM AND STATISTICAL FEATURES WITH ARTIFICIAL NEURAL NETWORK APPLICATION,” MODARES MECHANICAL ENGINEERING, vol. 16, no. 9, pp. 107–112, 2016, [Online]. Available: https://sid.ir/paper/179771/en