Development of new modularity function for unsupervised machine learning in granular materials / (Record no. 10742)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 00656nam a22002057a 4500 |
| 001 - CONTROL NUMBER | |
| control field | PHD101 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200529110810.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200529b ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Book number | KIS/D |
| 100 ## - MAIN ENTRY--RESEARCHER NAME | |
| Researcher name | Kishore, Raj |
| Relator term | researcher |
| 245 ## - TITLE STATEMENT | |
| Title | Development of new modularity function for unsupervised machine learning in granular materials / |
| Statement of responsibility, etc | Raj Kishore |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Bhubaneswar : |
| Name of publisher | IIT, |
| Year of publication | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxi, 166 p. : |
| Other physical details | ill. ; |
| Dimensions | 29 cm. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Unsupervised machine learning in granular materials |
| 700 ## - ADDED ENTRY--GUIDE NAME | |
| Guide name | Sahu, Kisor Kumar |
| Relator term | guide |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | PhD Thesis |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 29/05/2020 | 006.3 KIS/D | PHD101 | 29/05/2020 | PhD Thesis |