Enhancing training performance for small models using data-centric approaches / (Record no. 176425)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03928namaa22004331i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GICUC |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20251202143102.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251202s2025 ua a|||frm||| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 005.7 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.20.01.M.Sc.2025.Am.E |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Amr Essam Hassan, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Enhancing training performance for small models using data-centric approaches / |
| Statement of responsibility, etc. | by Amr Essam Hassan ; Supervised Prof. Reda Abdel Wahab Ahmed El-Khoribi, Prof. Eid Mohamed Emary. |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | تحسين اداء التدريب للنماذج الصغيرة باستخدام نهج التمحور حول البيانات |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 69 Leaves : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc)-Cairo University, 2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 66-69. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | The system improves datasets by filtering low-quality samples and generating high-quality synthetic data. Evaluated across various models, it demonstrated notable improvements in accuracy, precision, recall, and F1-score. While scalability to large datasets remains a challenge, the system shows potential in critical domains like healthcare, finance, and autonomous systems. Future work includes advanced data augmentation and adaptation for diverse data types. The system's adaptability enables continuous model improvement and robust decision-making when integrated into existing machine learning pipelines. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | عمل النظام على تحسين مجموعات البيانات عن طريق تصفية العينات ذات الجودة المنخفضة وإنشاء بيانات تركيبية عالية الجودة.<br/>تم تقييم النظام عبر نماذج متنوعة، وأظهر تحسينات ملحوظة في الدقة والدقة التنبؤية والاسترجاع ودرجة F1.<br/>رغم أن قابلية التوسع لمجموعات البيانات الكبيرة لا تزال تمثل تحديًا، إلا أن النظام يظهر إمكانات واعدة في مجالات حيوية مثل الرعاية الصحية والتمويل والأنظمة الذاتية. تشمل الأعمال المستقبلية تطوير تقنيات تعزيز البيانات وتكييف النظام لأنواع بيانات متنوعة.<br/>تُمكّن مرونة النظام من تحسين النموذج بشكل مستمر واتخاذ قرارات أكثر دقة عند دمجه في خطوط الأنظمة الذكية الحالية.<br/>يعتمد النظام على إزالة البيانات ذات الجودة المنخفضة وإنشاء بيانات جديدة تعزز من دقة التنبؤ بالنموذج. تُعد هذه الخطوة أساسية نحو تحسين النماذج في البيئات ذات التحديات الكبيرة والمتغيرة باستمرار. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issues also as CD. |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Software |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | برمجيات |
| 653 #1 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Data-Centric AI |
| -- | Small Models |
| -- | Machine Learning |
| -- | Training Performance |
| -- | Ar tificial Intelligence |
| -- | Generative Adversarial Networks (GAN) |
| -- | Model-Centric AI |
| -- | Convolutional Neural Networks (CNN) |
| -- | Deep Neural Networks (DNN) |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Reda Abdel Wahab Ahmed El-Khoribi |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Eid Mohamed Emary |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2025 |
| Supervisory body | Reda Abdel Wahab Ahmed El-Khoribi |
| -- | Eid Mohamed Emary |
| Universities | Cairo University |
| Faculties | Faculty of Computers and Artificial Intelligence |
| Department | Department of Information Technology |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Shimaa |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 02.12.2025 | 92672 | Cai01.20.01.M.Sc.2025.Am.E | 01010110092672000 | 02.12.2025 | 02.12.2025 | Thesis |