Classification of specialized motor tasks through EEG Signals (Record no. 328658)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00514nam a2200145 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | MSEE-4 HAS |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Muhammad Zia ul Hassan |
| 245 ## - TITLE STATEMENT | |
| Title | Classification of specialized motor tasks through EEG Signals |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Islamabad |
| Name of publisher, distributor, etc. | NUST-SEECS |
| Date of publication, distribution, etc. | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 57p. |
| Accompanying material | W/O CD |
| 856 ## - Uniform Resource Identifier | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/30626">http://10.250.8.41:8080/xmlui/handle/123456789/30626</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Non-public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library (CL) | Central Library (CL) | General Stacks | 04/12/2017 | NUST-SEECS | MSEE-4 HAS | SEECSP02034 | 04/12/2017 | 04/12/2017 | Thesis | ||||||||
| Central Library (CL) | Central Library (CL) | Thesis | 09/03/2019 | 621.3 | CL-T-3320 | 09/03/2019 | 09/03/2019 | Thesis | Minute Sheet No. 0929/02/CL/Survey/5 dated 23rd April 2024 E-MIN ID 114741 | ||||||||
| Central Library (CL) | Central Library (CL) | Thesis | 01/06/2020 | 621.3 MSEE-4 HAS | CL-T-4555 | 01/06/2020 | 01/06/2020 | Thesis | Minute Sheet No. 0929/02/CL/Survey/5 dated 23rd April 2024 E-MIN ID 114741 |