Detection of Coal Fire using principles of Remote Sensing and Machine Learning
| dc.contributor.author | Tripathi, Rubal | |
| dc.date.accessioned | 2024-06-05T09:42:25Z | |
| dc.date.available | 2024-06-05T09:42:25Z | |
| dc.date.issued | 2024-05 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/3227 | |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Institute of Technology (Indian School of Mines) Dhanbad | en_US |
| dc.subject | Conventional ground based methods | en_US |
| dc.subject | Convolutional Neural Network (CNN) architectures | en_US |
| dc.subject | Revolutionizing coal fire detection methods | en_US |
| dc.subject | DIST | en_US |
| dc.subject | DS1034 | en_US |
| dc.subject | APH | en_US |
| dc.title | Detection of Coal Fire using principles of Remote Sensing and Machine Learning | en_US |
| dc.type | Thesis | en_US |
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