Camarena octavio (7 Ergebnisse)

Zustand: New. Idioma/Language: Español. Las imágenes representan una de las formas de transmitir información con mayor potencial. En esta obra se presentan los conceptos y técnicas fundamentales del procesamiento digital de imágenes, esto es, se expone la teoría y la práctica de temas básicos y avanzados de los sistemas de visión artificial, todo esto con el fin de que: Conozca los conceptos y técnicas de análisis del procesamiento digital de imágenes. Aprenda las técnicas algorítmicas asociadas al procesamiento digital de imágenes y su programación en MATLAB. Aplique el conocimiento y ejecución de los algoritmos usados para la manipulación, mejoramiento, realzado y detección de imágenes. Erik Cuevas es Ingeniero en Comunicaciones y Electrónica por parte de la Universidad de Guadalajara, Maestro en Electrónica Industrial por el ITESO y Doctor en Inteligencia Artificial por la Universidad Libre de Berlín (FU-Berlín) en Alemania; actualmente, es miembro del Sistema Nacional de Investigadores Nivel II en el área del cómputo evolutivo y sus aplicaciones al procesamiento de imágenes. Margarita Díaz Cortés es Ingeniera Biomédica y Maestra en Ciencias de la Ingeniería Electrónica y Computación por parte de la Universidad de Guadalajara; actualmente, realiza su doctorado en Ciencias Computacionales en la Universidad Libre de Berlín. José Octavio Camarena Méndez es Ingeniero Electrónico con especialidad en Instrumentación Biomédica por parte del Instituto Tecnológico de Morelia (ITM) y Maestro en Ciencias en Ingeniería Electrónica y Computación por la Universidad de Guadalajara; actualmente, estudia el doctorado en Ciencias de la Electrónica y Computación en el Centro Universitario de Ciencias Exactas e Ingenierías. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.…

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 283 pages. 9.25x6.10x0.83 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.…