Soft computing Techniques for Breast Cancer Detection

Language: English

Published by Scholars' Press, 2023

6205521199 / 9786205521199

  • Softcover
  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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Item description from seller

nach der Bestellung gedruckt Neuware - Printed after ordering - Soft Computing (SC) has emerged as a versatile tool for solving complex computational problems across various fields. SC leverages human-like recognition and learning capabilities to provide innovative solutions to real-world challenges. In an era of data explosion, effective data processing requires selecting key attributes for predictive modelling, leading to the demand for feature subset selection. Feature subset selection is a challenging NP-Hard problem, with various methods categorized into filter, wrapper, and embedded approaches. Metaheuristic algorithms, known for global search capabilities, have been harnessed for feature selection to maximize classification accuracy. With a focus on medical applications, this study explores computer-aided diagnosis, where population-based feature selection methods enhance classification accuracy by reducing analysis time. The research introduces two novel metaheuristic methods, Separated Enemy Driven Dragon Algorithm (SEDDA) and Fitness-based Crow Search Algorithm (FSCA), and compares them with established techniques. …

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Bibliographic details

Title
Soft computing Techniques for Breast Cancer Detection
Author
Pradeep Kumar Bheemavarapu
Publisher
Scholars' Press
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6205521199
ISBN 13
9786205521199
Item weight
155 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.21US$ 50.42
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