| 000 | 00916nam a22002537a 4500 | ||
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| 003 | OSt | ||
| 005 | 20231229110531.0 | ||
| 008 | 231229b |||||||| |||| 00| 0 eng d | ||
| 040 | _c | ||
| 082 |
_aEE2023 _bMS / TD |
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| 100 |
_aShukla, Jyoti S. _b/211022003 _eResearcher |
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| 245 |
_aAI/ML-oriented satellite remote sensing for drought prediction and monitoring in agriculture _h[MS Thesis] |
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| 260 |
_aDharwad : _bIndian Institute of Technology Dharwad, _c©2023. |
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| 300 |
_axxvi, 79 p. : _bill. (b&w) ; _c30 cm (Hardbound) |
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| 504 | _aIncludes bibliographical references. | ||
| 653 | _aSatellite Data Analysis | ||
| 653 | _aDrought Detection | ||
| 653 | _aML/DL-Based Approaches | ||
| 653 | _aGenerative Adversarial Networks | ||
| 653 | _aLong-Term Drought Prediction | ||
| 700 |
_aPandya, Rahul Jashvantbhai _eResearch advisor |
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| 710 | _aDepartment of Electrical Engineering | ||
| 942 |
_2ddc _cTD |
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| 999 |
_c4370 _d4370 |
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