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ELMShip: An Efficient Ship Classifier Using Extreme Learning Machines

Year of publication

2023

Authors

Espinosa-Leal, Leonardo; Majd, Amin

Organizations and authors

Arcada University of Applied Sciences

Espinosa-Leal Leonardo Orcid -palvelun logo

Majd Amin

Publication type

Publication format

Article

Parent publication type

Compilation

Article type

Other article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A3 Book section, Chapters in research books

Publication channel information

Journal

Proceedings of ELM 2021

Publisher

Springer International Publishing

Volume

16

Pages

135-143

ISSN

2363-6084

ISBN

978-3-031-21677-0

​Publication forum

84312

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

Switzerland

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1007/978-3-031-21678-7_13

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes