Machine learning beyond traditional models (Record no. 63159)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01901nam a22002057a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610.28 |
| Author Mark | IKR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Ikram shah (64621) |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning beyond traditional models |
| Sub Title | light GBM and XG baoost for early detection of Alzheimer's disease. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (unpublished) |
| Date of publication | 2026 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 62 p. |
| Illustrations | : ill. Col. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Jawwad Sami Ur Rahman |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2026 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Biomedical engineering |
| Keywords | Neuroimaging techniques |
| -- | Molecular imaging |
| -- | Biofluid biomarkers |
| -- | Clinical relevance |
| -- | BME |
| -- | FEAS |
| 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 | Public note |
|---|---|---|---|---|---|---|---|---|
| NOT for LOAN | Main Campus | Main Campus | Riphah International University | 610.28 IKR | 103467 | 1 | Thesis | Reference material |