EEG based emotion classification using ideal features set through convolutional neural network (Record no. 45137)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00893nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Author Mark | ISL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Muhammad Islam (12555) |
| 245 ## - TITLE STATEMENT | |
| Title | EEG based emotion classification using ideal features set through convolutional neural network |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (Unpublished) |
| Date of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 48 p. |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Rizwan Bin Faiz |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.S.)--Riphah International University, 2021 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Software engineering |
| -- | Convolutional network |
| Keywords | Support vector analysis |
| -- | Emotion classification |
| -- | Electroencephalogram |
| -- | FC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| NOT for LOAN | Main Campus | Main Campus | Riphah International University | 006.32 ISL | 68583 | 1 | Thesis |