Skin Disease Analysis with ADABOOST

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Details

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.

Autorentext

O Dr. Neelapala Anil Kumar tem uma vasta experiência de ensino em diversas instituições. É um investigador e autor prolífico, tendo recebido vários prémios, incluindo o Pratibha, o Sastra, o prémio de Melhor Professor de Engenharia e o prémio de Excelência de Ensino. Atualmente, trabalha na ACED, Alliance University, Bangalore, Karnataka.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786207468799
    • Genre Thermal Engineering
    • Anzahl Seiten 76
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B220mm x T150mm
    • Jahr 2024
    • EAN 9786207468799
    • Format Kartonierter Einband
    • ISBN 978-620-7-46879-9
    • Titel Skin Disease Analysis with ADABOOST
    • Autor Neelapala Anil Kumar
    • Untertitel a Machine Learning Approach for Improved Diagnosis. DE
    • Sprache Englisch

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