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Herausgeber: 
  • Crina Grosan
  • Aboul-Ella Hassanien
  • Mohamed Fahmy Tolba
  • Applications of Intelligent Optimization in Biology and Medicine: Current Trends and Open Problems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2015  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / bioinformatics / Biomathematics / Computational Intelligence / engineering / Information technology# general issues / Mathematical and Computational Biology / Maths for scientists
    ISBN:  9783319212111 
    EAN-Code: 
    9783319212111 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #96 - Intelligent Systems Reference Library  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  6092 gr 
    Seiten:  307 
    Illustration:  XIII, 307 p. 100 illus., 47 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This volume provides updated, in-depth material on the application of intelligent optimization in biology and medicine. The aim of the book is to present solutions to the challenges and problems facing biology and medicine applications. This Volume comprises of 13 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of intelligent optimization for bioinformatics applications, DNA based Steganography, a modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems, Optimization Methods for Medical Image Super Resolution Reconstruction and breast cancer classification. Moreover, some chapters that describe several bio-inspired approaches in MEDLINE Text Mining, DNA-Binding Proteins and Classes, Optimized Tumor Breast Cancer Classification using Combining Random Subspace and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers-from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.-who wish to enrich their knowledge on Intelligent Optimization in Biology and Medicine and applications with one single book.

     

      



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