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The development of deep convolutional generative adversarial network to synthesize odontocetes' clicks.
J Acoust Soc Am
January 2025
Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Ministry of Education, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China.
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional generative adversarial networks guided by an acoustic feature vector (AF-DCGANs) to synthesize narrowband clicks of the finless porpoise (Neophocaena phocaenoides sunameri) and broadband clicks of the bottlenose dolphins (Tursiops truncatus). The average short-time objective intelligibility (STOI), spectral correlation coefficient (Spe-CORR), waveform correlation coefficient (Wave-CORR), and dynamic time warping distance (DTW-Distance) of the synthetic clicks were 0.
View Article and Find Full Text PDFFatty acid carbon isotopes as tracers of trophic structure and contaminant biomagnification in Arctic marine food webs.
Sci Total Environ
January 2025
Department of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada. Electronic address:
Mercury (Hg) and persistent organic pollutant (POP) accumulation among species and biomagnification through food webs is typically assessed using stable isotopes of nitrogen (δN) and carbon (δC) in bulk (whole) tissues. Yet, bulk isotopic approaches have limitations, notably from the potential overlap of isotope values from different dietary sources and from spatial variation in source (baseline) signals. Here, we explore the potential of fatty acid carbon isotopes (FA δC) to (1) evaluate the trophic structure of a marine food web, (2) distinguish feeding patterns among four marine mammal consumers, (3) trace contaminant biomagnification through a food web, and (4) explain interspecific variation in contaminants among high-trophic position predators.
View Article and Find Full Text PDFComment on "Dolphin and porpoise detections by the F-POD are not independent: Implications for sympatric species monitoring" [JASA Express Lett. 4, 031202 (2024)].
JASA Express Lett
January 2025
Schmalhausen Institute of Zoology of National Academy of Sciences of Ukraine, Bohdana Khmel'nyts'koho Street, 15, Kyiv 02000, Ukraine.
Dolphin and porpoise detections by the F-POD are not independent: Implications for sympatric species monitoring, Cosentino, Marcolin, Griffiths, Sánchez-Camí, and Tougaard [(2024). JASA Express Lett. 4, 031202] address a significant issue, the reliability of the discrimination of dolphins and porpoises in recordings of their acoustic clicks by F-POD loggers, but unfortunately present a misleading interpretation of the process and results.
View Article and Find Full Text PDFHidden population turnover of small odontocetes in the northwestern North Pacific during the Holocene.
Biol Lett
January 2025
Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8601, Japan.
Despite numerous studies on the rise and fall of terrestrial megafauna in the late Quaternary, knowledge about marine megafauna from this period remains limited. In this study, we performed radiocarbon dating and partial mitochondrial DNA sequencing from the skeletal remains of three species of small odontocetes (Pacific white-sided dolphins, Dall's porpoises and harbour porpoises) excavated from prehistoric archaeological sites around the Japanese shore dating back to 8500-1000 years ago (ya). Pacific white-sided dolphins that habituated the eastern coast of Hokkaido around 2000 ya belonged to different maternal groups than those from over 5000 ya and today.
View Article and Find Full Text PDFMultipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors.
Sensors (Basel)
December 2024
School of Mechanical Electrical and Information Engineering, Shandong University, Weihai 264209, China.
Feature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features. However, for complex high-dimensional issues, traditional FS methods cannot find the ideal feature combination. To overcome this disadvantage, this paper presents a multispiral whale optimization algorithm (MSWOA) for feature selection.
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