BIBLIOS

   Ciências References Management System

Visitor Mode (Login)
Need help?


Back

Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Underwater noise recognition of marine vessels passages: two case studies using hidden Markov models

Participants in the publication
Manuel Vieira (Author)
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
 M Clara P Amorim (Author)
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
 Dep. Biologia Animal
 Andreas Sundelöf (Author)
Nuno Prista (Author)
Paulo J Fonseca (Author)
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
 Dep. Biologia Animal
 cE3c
 cE3c
Date of Publication
2019-10-30

Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Where published
ICES Journal of Marine Science

Publication Identifiers
ISSN - 1054-3139

Publisher
Oxford University Press (OUP)

Volume
77
Number
6

Number of pages
13
Starting page
2157
Last page
2170

Document Identifiers
DOI - https://doi.org/10.1093/icesjms/fsz194
URL - http://dx.doi.org/10.1093/icesjms/fsz194

Rankings
Web Of Science Q1 (2019) - 3.188 - MARINE & FRESHWATER BIOLOGY - SCIE
SCOPUS Q1 (2019) - 6.3 - Aquatic Science


Export

APA
Manuel Vieira, M Clara P Amorim, Andreas Sundelöf, Nuno Prista, Paulo J Fonseca, (2019). Underwater noise recognition of marine vessels passages: two case studies using hidden Markov models. ICES Journal of Marine Science, 77, 2157-2170. ISSN 1054-3139. eISSN . http://dx.doi.org/10.1093/icesjms/fsz194

IEEE
Manuel Vieira, M Clara P Amorim, Andreas Sundelöf, Nuno Prista, Paulo J Fonseca, "Underwater noise recognition of marine vessels passages: two case studies using hidden Markov models" in ICES Journal of Marine Science, vol. 77, pp. 2157-2170, 2019. 10.1093/icesjms/fsz194

BIBTEX
@article{50162, author = {Manuel Vieira and M Clara P Amorim and Andreas Sundelöf and Nuno Prista and Paulo J Fonseca}, title = {Underwater noise recognition of marine vessels passages: two case studies using hidden Markov models}, journal = {ICES Journal of Marine Science}, year = 2019, pages = {2157-2170}, volume = 77 }