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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
杜威分類號:	006.3/82
書名/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.
標題:	Image processing - Digital techniques.
ISBN:	9780128045374
ISBN:	012804537X
ISBN:	9780128045367
ISBN:	0128045361
摘要、提要註:	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.
電子資源:	https://www.sciencedirect.com/science/book/9780128045367

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:

571196
Natural computation.
Index Terms--Genre/Form:

336502
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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245 0 0 $a Bio-inspired computation and applications in image processing / $c edited by Xin-She Yang, João Paulo Papa.
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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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650 0 $a Image processing $x Digital techniques. $3 365611
655 4 $a Electronic books. $2 local $3 336502
700 1 $a Yang, Xin-She. $3 554106
700 1 $a Papa, João Paulo. $3 716100
856 4 0 $u https://www.sciencedirect.com/science/book/9780128045367

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