Zobrazeno 1 - 10
of 32
pro vyhledávání: '"C. Alongi"'
Autor:
Tyler A. Helble, Gabriela C. Alongi, Regina A. Guazzo, Dylan R. Allhusen, Cameron R. Martin, Stephen W. Martin, Ian N. Durbach, E. Elizabeth Henderson
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
A unique acoustic call type was identified and attributed to Bryde’s whales in the central North Pacific in 2015, but little is known about the distribution, calling behavior, or swimming behavior of Bryde’s whales in the region. Acoustic detecti
Externí odkaz:
https://doaj.org/article/de61b955ec76415c85a4f0d4de28976b
Autor:
Tyler A. Helble, Regina A. Guazzo, Ian N. Durbach, Cameron R. Martin, Gabriela C. Alongi, Stephen W. Martin, E. Elizabeth Henderson
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Behavioral responses to sonar have been observed in a number of baleen whales, including minke whales (Balaenoptera acutorostrata). Previous studies used acoustic minke whale boing detections to localize and track individual whales on the U.S. Pacifi
Externí odkaz:
https://doaj.org/article/188e88799a0e4441ae3c85324ea38b28
Autor:
Cameron R. Martin, Regina A. Guazzo, Tyler A. Helble, Gabriela C. Alongi, Ian N. Durbach, Stephen W. Martin, Brian M. Matsuyama, E. Elizabeth Henderson
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
North Pacific minke whale (Balaenoptera acutorostrata) boing calls are commonly detected in Hawaiian waters. When producing boing vocalizations, minke whales seem to be in one of two calling behavioral states. Most often minke whales produce boings w
Externí odkaz:
https://doaj.org/article/52cef64db8984a0ea060bcc48e1fc411
Autor:
Regina A. Guazzo, Ian N. Durbach, Tyler A. Helble, Gabriela C. Alongi, Cameron R. Martin, Stephen W. Martin, E. Elizabeth Henderson
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Male fin whales sing using 20 Hz pulses produced in regular patterns of inter-note intervals, but little is known about fin whale swimming behavior while they are singing. Even less is known about fin whales in Hawaiian waters because they have rarel
Externí odkaz:
https://doaj.org/article/56b6f9c67e8540a9a59bc2acaca94ebe
Autor:
Tyler A. Helble, Regina A. Guazzo, Gabriela C. Alongi, Cameron R. Martin, Stephen W. Martin, E. Elizabeth Henderson
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
Male fin whales sing by producing 20 Hz pulses in regular patterns of inter-note intervals. While singing, fin whales may also alternate the frequency ranges of their notes. Different song patterns have been observed in different regions of the world
Externí odkaz:
https://doaj.org/article/b2a233ef0eea4fb9b0cd4a3cca7df2af
Autor:
Roanne Manzano‐Roth, E. Elizabeth Henderson, Gabriela C. Alongi, Cameron R. Martin, Stephen W. Martin, Brian Matsuyama
Publikováno v:
Marine Mammal Science. 39:22-41
Autor:
Stephen W. Martin, Cameron R. Martin, Gabriela C. Alongi, Tyler A. Helble, Regina A. Guazzo, E. Elizabeth Henderson, Ian N. Durbach
Publikováno v:
The Journal of the Acoustical Society of America. 148:542-555
Funding: Office of Naval Research (Code 322, Marine Mammals and Biology), Commander, U.S. Pacific Fleet (Code N465JR), and the Naval Facilities Engineering Command Living Marine Resources Program. Many animals increase the intensity of their vocaliza
Autor:
Ian N. Durbach, Tyler A. Helble, Cameron R. Martin, Gabriela C. Alongi, Regina A. Guazzo, E. Elizabeth Henderson, Stephen W. Martin
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
This research was supported by Commander, U.S. Pacific Fleet (Code N465JR, Award Number N0007020WR0EP8F), the Office of Naval Research (Code 322, Award Number N0001421WX00156), and tool development necessary for this analysis was supported by the U.S
Autor:
Gabriela C. Alongi, Tara Leota, Jessica Aschettino, E. Elizabeth Henderson, Mark H. H. Deakos
Publikováno v:
Aquatic Mammals. 45:612-631
Autor:
Elizabeth L. Ferguson, Peter Sugarman, Kevin R. Coffey, Jennifer Pettis Schallert, Gabriela C. Alongi
Publikováno v:
The Journal of the Acoustical Society of America. 151:A28-A28
As the collection of large acoustic datasets used to monitor marine mammals increases, so too does the need for expedited and reliable detection of accurately classified bioacoustic signals. Deep learning methods of detection and classification are i