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Bio-inspired computation and applica...
~
Yang, Xin-She.
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Bio-inspired computation and applications in image processing /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Bio-inspired computation and applications in image processing // edited by Xin-She Yang, João Paulo Papa.
other author:
Yang, Xin-She.
Description:
1 online resource
Notes:
Includes index.
Subject:
Natural computation. -
Online resource:
https://www.sciencedirect.com/science/book/9780128045367
ISBN:
9780128045374
Bio-inspired computation and applications in image processing /
Bio-inspired computation and applications in image processing /
edited by Xin-She Yang, João Paulo Papa. - 1 online resource
Includes index.
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.
ISBN: 9780128045374Subjects--Topical Terms:
1002233
Natural computation.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: QA76.9.N37
Dewey Class. No.: 006.3/82
Bio-inspired computation and applications in image processing /
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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.
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Papa, João Paulo.
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https://www.sciencedirect.com/science/book/9780128045367
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1
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Attachments
W9370826
電子資源
11.線上閱覽_V
電子書
EB QA76.9.N37
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