Artificial bee colony optimization (ABC) for grape leaves disease detection-Reference-Cited by-同舟云学术

Artificial bee colony optimization (ABC) for grape leaves disease detection

Published:2019-05-22 Issue:1 Volume:11 Page:105-117
ISSN:1868-6478
Container-title:Evolving Systems
language:en
Short-container-title:Evolving Systems

Author:

Andrushia A. Diana,Patricia A. Trephena

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12530-019-09289-2.pdf

Reference42 articles.

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3. Andrushia AD, Thangarajan R (2019) RTS-ELM: an approach for saliency-directed image segmentation with ripplet transform. Pattern Anal Appl. https://doi.org/10.1007/s10044-019-00800-8

4. Andrushia AD, Thangarjan R (2018) Saliency-based image compression using Walsh-Hadamard Transform (WHT) biologically rationalized computing techniques for image processing applications. Lect Notes Comput Vis Biomech 25:21–42

5. Andrushia AD, Trephena Patricia A (2019) Artificial bee colony based feature selection for automatic skin disease identification of mango fruit. In: Hemanth J, Balas V (eds) Nature inspired optimization techniques for image processing applications. Intelligent systems reference library, vol 150. Springer, pp 215–233

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