Detection of sickle cell anemia using image processing and machine learning techniques (Record no. 24005)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00876nam a22002057a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.4 |
| Author Mark | SAJ |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Hafiz Sajjad Muhi-ud-din |
| 245 ## - TITLE STATEMENT | |
| Title | Detection of sickle cell anemia using image processing and machine learning techniques |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Lahore |
| Name of publisher | (unpublished) |
| Date of publication | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 43 p. |
| Illustrations | : ill. |
| Dimensions | ; 29.3 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Science to the Faculty of electrical engineering |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Engr Ishfaq Ahmad |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2022 |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Registration no:F20C14G32016 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Engineering |
| Keywords | Learning techniques |
| -- | Neural Network |
| -- | Sickle Cell |
| -- | Hemoglobin |
| -- | MS-EE |
| -- | RICAS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|
| Lahore Raiwind Campus | Lahore Raiwind Campus | 006.4 HAF | 59781 | Thesis |