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| 008 | 260306t20252025my a|||fr|||| 000 0 eng d | ||
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_aTHE0010428 (Local) _qHardback |
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_aUMPSA _beng _cUMPSA _erda |
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| 090 | _aFTKA .A45 2025 r Thesis | ||
| 100 | 1 |
_aMuhammad Amirruddin Bin Zulkifli, _eauthor. |
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| 245 | 1 | 0 |
_aFormulation of coupled hydrological-salinity modelling framework adopting remote sensing databases and machine learning techniqu / _cMuhammad Amirruddin Bin Zulkifli |
| 264 | 1 |
_aKuantan, Pahang : _bUMPSA, _c2025 |
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| 264 | 4 | _c© 2025 | |
| 300 |
_axviii, 208pages : _billustrations ; |
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| 336 |
_2rdacontent _atext |
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_2rdamedia _aunmediated |
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_2rdacarrier _avolume |
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_2rda _atext file _bPDF |
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| 500 | _aFaculty of Civil Engineering Technology | ||
| 502 | _aThesis (Master of Science) -- Universiti Malaysia Pahang - 2025 | ||
| 504 | _aIncludes bibliographical references | ||
| 610 | 2 | 0 |
_aFaculty of Civil Engineering Technology _xDissertations |
| 650 | 0 |
_aUniversities and colleges _xDissertations |
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| 650 | 0 |
_aTheses _xDissertations |
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_2lcc _cTHESIS |
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_c104280 _d104286 |
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