Microwave Tomography
Autor Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtarien Limba Engleză Paperback – 3 sep 2016
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Specificații
ISBN-13: 9781493945771
ISBN-10: 1493945777
Pagini: 220
Ilustrații: XVII, 198 p. 117 illus., 112 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.38 kg
Ediția:Softcover reprint of the original 1st edition 2014
Editura: Springer
Locul publicării:New York, NY, United States
ISBN-10: 1493945777
Pagini: 220
Ilustrații: XVII, 198 p. 117 illus., 112 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.38 kg
Ediția:Softcover reprint of the original 1st edition 2014
Editura: Springer
Locul publicării:New York, NY, United States
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Cuprins
Introduction to Microwave Imaging.- Sequential Forward Solver.- Global Optimization: Differential Evolution, Genetic Algorithms, Particle Swarm and Hybrid Methods.- Sequential Optimization: Genetic Algorithm.- Inclusion of A Priori Information using Neural Networks.- Parallel Forward Solver.- Parallel Optimization Methods.- Benchmarking Parallel Evolutionary Algorithms.
Notă biografică
Sima Noghanian is an associate professor and chair of the Antenna and Applied Electromagnetics department of the University of North Dakota.
Travis Desell is an assistant professor at the University of North Dakota.
Abas Sabouni is a research associate at Concordia University.
Ali Ashtari is the lead researcher at Invenia Technical Computing.
Travis Desell is an assistant professor at the University of North Dakota.
Abas Sabouni is a research associate at Concordia University.
Ali Ashtari is the lead researcher at Invenia Technical Computing.
Textul de pe ultima copertă
This book provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The book focuses on techniques that are based on global optimization and electromagnetic numerical methods. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers. The book also discusses the multi-level optimization technique, hybrid genetic algorithm and its application in breast cancer imaging.
Caracteristici
Focuses on microwave tomography imaging which provide quantitative images and requires solve inverse scattering problem using iterative technique Introduces techniques that can be efficiently used for real time analysis of medical imaging techniques Examines the combination of classification methods to include a priori information, global optimization and numerical forward solver that is unique Includes supplementary material: sn.pub/extras