| 000 | 00805nam a22002297a 4500 | ||
|---|---|---|---|
| 003 | IIITD | ||
| 005 | 20221205174746.0 | ||
| 008 | 221026b xxu||||| |||| 00| 0 eng d | ||
| 040 | _aIIITD | ||
| 082 | _aREF CSE 2022 | ||
| 100 | _a Kumar, Sandeep | ||
| 245 |
_aPredicting tropical cyclone formation and its landfall’s characteristics _cby Sandeep Kumar, Ashish Kumar Pandey (Advisor) |
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| 260 |
_aNew Delhi : _bIIIT-Delhi, _c©2022 |
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| 300 |
_axiii, 95 p. : _bill. ; _c31 cm. |
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| 500 | _aIncludes bibliographical references. | ||
| 650 | _aArtificial Neural Networks | ||
| 650 | _aLong Short Term Memory | ||
| 650 | _aIndian Meteorological Department | ||
| 700 |
_aPandey, Ashish Kumar _eAdvisor |
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| 856 | _uhttps://shodhganga.inflibnet.ac.in/handle/10603/421239 | ||
| 942 |
_2ddc _cTH |
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| 999 |
_c170787 _d170787 |
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