Skin Disease Analysis with ADABOOST: A Machine Learning Approach for Improved Diagnosis (Record no. 49454)
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000 -LEADER | |
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fixed length control field | 01198 a2200193 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250128100529.0 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9786207468799 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 610.285 ANI |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Anil Kumar, Neelapala. |
245 ## - TITLE STATEMENT | |
Title | Skin Disease Analysis with ADABOOST: A Machine Learning Approach for Improved Diagnosis |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | LAP LAMBERT Academic Publishing |
Date of publication, distribution, etc | 2024 |
Place of publication, distribution, etc | London |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 60 |
520 ## - SUMMARY, ETC. | |
Summary, etc | Skin Disease Analysis with ADABOOST delves into the application of a powerful machine learning technique called ADABOOST for analyzing and diagnosing skin conditions. The book explores how ADABOOST can be harnessed to significantly improve the accuracy and efficiency of detecting and classifying various skin diseases. This approach holds immense potential for early diagnosis, which is crucial for effective treatment and improved patient outcomes. By leveraging the strengths of ADABOOST, the book equips healthcare professionals and researchers with valuable insights and tools to combat skin diseases and contribute to advancements in dermatology. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Electronics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | electro-Technology |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Communications Technology |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine Learning |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
No items available.