TY  - JOUR
ID  - scholars20399
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132394464&doi=10.11591%2fijai.v11.i3.pp977-985&partnerID=40&md5=00207ca516369e360c9f6edec5ba1749
AV  - none
JF  - IAES International Journal of Artificial Intelligence
PB  - Institute of Advanced Engineering and Science
VL  - 11
SN  - 20894872
TI  - Pipe leakage detection system with artificial neural network
Y1  - 2022///
N1  - Cited by: 3; All Open Access, Gold Open Access, Green Open Access
IS  - 3
A1  - Radzman, Muhammad Iqmmal Rezzwan
A1  - Mahamad, Abd Kadir Bin
A1  - Muji, Siti Zarina Mohd
A1  - Saon, Sharifah
A1  - Ahmadon, Mohd Anuaruddin
A1  - Yamaguchi, Shingo
A1  - Setiawan, Muhammad Ikhsan
ER  -