| 000 | 00827 a2200217 4500 | ||
|---|---|---|---|
| 005 | 20250517205046.0 | ||
| 264 | 0 | _c20180523 | |
| 008 | 201805s 0 0 eng d | ||
| 022 | _a1879-1026 | ||
| 024 | 7 |
_a10.1016/j.scitotenv.2018.02.233 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aJanik, M | |
| 245 | 0 | 0 |
_aMachine learning methods as a tool to analyse incomplete or irregularly sampled radon time series data. _h[electronic resource] |
| 260 |
_bThe Science of the total environment _cJul 2018 |
||
| 300 |
_a1155-1167 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 700 | 1 | _aBossew, P | |
| 700 | 1 | _aKurihara, O | |
| 773 | 0 |
_tThe Science of the total environment _gvol. 630 _gp. 1155-1167 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.scitotenv.2018.02.233 _zAvailable from publisher's website |
| 999 |
_c28194141 _d28194141 |
||