Grey wolf optimization for face recognition (Record no. 22438)
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| 000 -LEADER | |
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250311103410.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250311b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25586 |
| Author | Karri, Lalith Aditya |
| 245 ## - TITLE STATEMENT | |
| Title | Grey wolf optimization for face recognition |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.3(1), Jan-Apr |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Ghaziabad |
| Name of publisher, distributor, etc. | MAT Journals |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 6-13p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Facial recognition technology, known for its precision and user-friendly interface, plays a pivotal role in security solutions. This study, entitled "Enhancing Face Recognition through Grey Wolf Optimization" focuses on the accurate identification of faces using trained images. Employing advanced machine learning techniques, specifically grey wolf optimization and enhanced capsule networks, the project makes significant strides in improving vector capture and classification accuracy, thereby elevating overall performance. The integration of these innovative techniques ensures the provision of highly precise values for vector classification and face recognition. With a specific emphasis on sectors such as Law Enforcement, Marketing, Advertisements, and Education, the research facilitates swift and accurate face recognition within a condensed timeframe, resulting in enhanced overall .... |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 22400 |
| Topical term or geographic name entry element | Data Science |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25531 |
| Co-Author | Sreekala, K. |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Ghaziabad MAT Journals |
| Title | Journal of innovations in data science and big data management |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://matjournals.net/engineering/index.php/JIDSBDM/article/view/80 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 11/03/2025 | 2025-0350 | 11/03/2025 | 11/03/2025 | Articles Abstract Database |