Mathematical Research Data Initiative
Main page
Recent changes
Random page
SPARQL
MaRDI@GitHub
Special pages
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

Novel modified convolutional neural network and FFA algorithm for fish species classification

From MaRDI portal
Publication:2102900
Jump to:navigation, search

DOI10.1007/S10878-022-00952-0OpenAlexW4309878927MaRDI QIDQ2102900

C. D. Suriyakala, Pooja Prasenan

Publication date: 12 December 2022

Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10878-022-00952-0



zbMATH Keywords

region of interest (ROI)Hadamard control firefly algorithm (HCFA)modified convolutional neural network (MCNN)speeded up robust feature (SURF)thinning operation with hit miss (THM)


Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Taxonomy, cladistics, statistics in mathematical biology (92B10)


Cites Work

  • Plant species identification using computer vision techniques: a systematic literature review


Related Items (1)

Hybrid optimized deep recurrent neural network for atmospheric and oceanic parameters prediction by feature fusion and data augmentation model






This page was built for publication: Novel modified convolutional neural network and FFA algorithm for fish species classification

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q2102900)

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:2102900&oldid=14588106"
Tools
What links here
Related changes
Printable version
Permanent link
Page information
This page was last edited on 1 February 2024, at 22:45.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki