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Ajouter au panierTaschenbuch. Etat : Neu. Bioinspired Algorithms and Applications in Image Fusion | Jayant Bhardwaj (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786206769019 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 124 pp. Englisch.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhardwaj JayantDr. Jayant Bhardwaj and Dr. Pawan Sharma are working as Faculty in Bhagwan Parshuram Institute of Technology, Delhi with the department of ECE from a decade. There area of research is signal processing and wavelet theo.
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The preying strategies in animals and other living creatures have motivational intelligence which can be implemented significantly in computer algorithms designed for image fusion which is an eminent image processing technique. The research contributed in this book is the designing of few methodologies for the pixel type fusion of two magnetic resonance images harnessing the traits of different genres of discrete wavelet transform and Bayesian model. The parameters of this estimation model are then optimized employing distinctive nature encouraged optimization algorithms, for instance bird swarm algorithm (BSA), etc. to have an optimized fused image with peerless performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The preying strategies in animals and other living creatures have motivational intelligence which can be implemented significantly in computer algorithms designed for image fusion which is an eminent image processing technique. The research contributed in this book is the designing of few methodologies for the pixel type fusion of two magnetic resonance images harnessing the traits of different genres of discrete wavelet transform and Bayesian model. The parameters of this estimation model are then optimized employing distinctive nature encouraged optimization algorithms, for instance bird swarm algorithm (BSA), etc. to have an optimized fused image with peerless performance.