| dc.contributor.author | Samaiita, Souvik | |
| dc.date.accessioned | 2021-07-12T09:56:58Z | |
| dc.date.available | 2021-07-12T09:56:58Z | |
| dc.date.issued | 2014-04 | |
| dc.identifier.citation | Under the guidance of Mr. Pankaj Badoni, Assistant Professor, UPES & Mr. Vinay Rao, Senior Technical Supervisor, I2India Pvt. limited | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/3394 | |
| dc.description | Submitted in partial fulfillment of the requirements for the award of degree of M. Tech in Computer Science & Engineering with specialization in Artificial Intelligence and Neural Networks Gandu | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science & Engineering, UPES, Dehradun | en_US |
| dc.subject | Dissertation | en_US |
| dc.subject | Information Technology | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Neural Networks | en_US |
| dc.subject | Mapped Location Identification | en_US |
| dc.title | Novel approach to identify and explore under mapped locations | en_US |
| dc.type | Thesis | en_US |