Bio-Inspired Computation and Applications in Image Processing (ePub)

Name: Bio-Inspired Computation and Applications in Image Processing
Brand: Elsevier Science & Techn.
SKU: 78803517
Price: 162.90 CHF
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(Sprache: Englisch)

Autoren: Xin-She Yang , João Paulo Papa

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Bio-Inspired Computation and Applications in Image Processing, Xin-She Yang, João Paulo Papa

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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization,...

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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field.

In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.

Reviews the latest developments in bio-inspired computation in image processing
Focuses on the introduction and analysis of the key bio-inspired methods and techniques
Combines theory with real-world applications in image processing
Helps solve complex problems in image and signal processing
Contains a diverse range of self-contained case studies in real-world applications

Autoren-Porträt von Xin-She Yang, João Paulo Papa

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi'an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).

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Bibliographische Angaben

Autoren: Xin-She Yang , João Paulo Papa
2016, 374 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 012804537X
ISBN-13: 9780128045374
Erscheinungsdatum: 09.08.2016

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Dateiformat: ePub
Grösse: 28 MB
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