| Type of Material: | Thesis |
| Title: | Unveling key drivers in hydrometerorological process feature selection using bayesian networks for improved understanding and prediction. |
| Researcher: | Das, Prabal |
| Guide: | Chanda, Kironmala |
| Department: | Department of Civil Engineering |
| Publisher: | Indian School of Mines, Dhanbad |
| Place: | Dhanbad |
| Year: | 2024 |
| Language: | English |
| Subject: | Liguid steel breakout | Hydrometerorological | Feature selection | Civil Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electronics Engineering, Indian School of Mines, Dhanbad, Dhanbad; 2024; 18DR0094 |
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| 001 | 452316 | |
| 003 | IN-AhILN | |
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| 008 | __ | 240216t2024||||ii#||||g|m||||||||||eng|| |
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| 040 | __ | |aISMD_826004|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aDas, Prabal|eResearcher |
| 110 | __ | |aDepartment of Civil Engineering|bIndian School of Mines, Dhanbad|dDhanbad|ein|0U-0205 |
| 245 | __ | |aUnveling key drivers in hydrometerorological process feature selection using bayesian networks for improved understanding and prediction. |
| 260 | __ | |aDhanbad|bIndian School of Mines, Dhanbad|c2024 |
| 502 | __ | |bPhD|cDepartment of Electronics Engineering, Indian School of Mines, Dhanbad, Dhanbad|d2024|o18DR0094 |
| 518 | __ | |oDate of Notification|d2024-02-02 |
| 650 | __ | |aCivil Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aLiguid steel breakout |
| 653 | __ | |aHydrometerorological |
| 653 | __ | |aFeature selection |
| 700 | __ | |aChanda, Kironmala|eGuide |
| 905 | __ | |anotification |
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