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Bio-inspired computation and applica...

Papa, João Paulo.

Bio-inspired computation and applications in image processing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bio-inspired computation and applications in image processing /edited by Xin-She Yang, João Paulo Papa.
其他作者:	Yang, Xin-She.
面頁冊數:	1 online resource
附註:	Includes index.
標題:	Natural computation.
電子資源:	https://www.sciencedirect.com/science/book/9780128045367
ISBN:	9780128045374$q(electronic bk.)

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: 9780128045374$q(electronic bk.)Subjects--Topical Terms:

339160
Natural computation.
Index Terms--Genre/Form:

214472
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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520 $a 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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