| 000 | 01059 a2200289 4500 | ||
|---|---|---|---|
| 005 | 20250518071510.0 | ||
| 264 | 0 | _c20200225 | |
| 008 | 202002s 0 0 eng d | ||
| 022 | _a1614-7499 | ||
| 024 | 7 |
_a10.1007/s11356-019-06755-x _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aSun, Lian | |
| 245 | 0 | 0 |
_aContamination source identification in water distribution networks using convolutional neural network. _h[electronic resource] |
| 260 |
_bEnvironmental science and pollution research international _cDec 2019 |
||
| 300 |
_a36786-36797 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 | _aNeural Networks, Computer |
| 650 | 0 | 4 | _aWater |
| 650 | 0 | 4 | _aWater Quality |
| 650 | 0 | 4 |
_aWater Supply _xmethods |
| 700 | 1 | _aYan, Hexiang | |
| 700 | 1 | _aXin, Kunlun | |
| 700 | 1 | _aTao, Tao | |
| 773 | 0 |
_tEnvironmental science and pollution research international _gvol. 26 _gno. 36 _gp. 36786-36797 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/s11356-019-06755-x _zAvailable from publisher's website |
| 999 |
_c30331122 _d30331122 |
||