Computer Science and Engineering: A Handbook (Concepts) - Srivastava, Chandan
50,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
25 °P sammeln
  • Broschiertes Buch

In this book, we introduce fundamental concept concerning comprehensive statistical and algorithmic techniques in the foremost streamline of computer science and engineering. We present the concept of computational intelligence methods and specific analysis along with examples and case studies from the perspective of a broad coverage and clear exposition of the subject matter. This text is designed for a swift overview and the tools required for solving problems for both the researchers and students. Herewith, this study offers all basic existing dimensions of computer science and engineering…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
In this book, we introduce fundamental concept concerning comprehensive statistical and algorithmic techniques in the foremost streamline of computer science and engineering. We present the concept of computational intelligence methods and specific analysis along with examples and case studies from the perspective of a broad coverage and clear exposition of the subject matter. This text is designed for a swift overview and the tools required for solving problems for both the researchers and students. Herewith, this study offers all basic existing dimensions of computer science and engineering theories and computational intelligence algorithms, centrally working towards contemporary modern real-world applications including biological data interpretations and gene feature selections, image enhancement algorithms, IPv6 generator, as well as the fuzzy clustering approach and perspective computing schemes.
Autorenporträt
Chandan Srivastava é investigador doutorado no Department de Enginyeria Química, Universitat Rovira i Virgili,Espanha. Obteve o seu mestrado e investigação no Departamento de Optimização e Segurança de Sistemas, Universidade de Tecnologia de Troyes, França. A sua área de investigação inclui a aprendizagem de máquinas, e o processamento de sinais biomédicos.