{"product_id":"soft-computing-techniques-for-breast-cancer-detection-von-srinivasa-rao-p-vani-kumari-s-und-pradeep-kumar-bheemavarapu","title":"Soft computing Techniques for Breast Cancer Detection","description":"\u003cp\u003eSoft 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786205521199\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9786205521199","offer_id":47290281951557,"sku":"9786205521199","price":65.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/ded93c04-e118-47de-b934-ca647615be88.png?v=1759300230","url":"https:\/\/shop.autorenwelt.de\/en\/products\/soft-computing-techniques-for-breast-cancer-detection-von-srinivasa-rao-p-vani-kumari-s-und-pradeep-kumar-bheemavarapu","provider":"Autorenwelt Shop","version":"1.0","type":"link"}