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Profil bibliographique

Joshua Zingale

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

3Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Marine animal studies overviewAnimal Vocal Communication and BehaviorUnderwater Acoustics Research

Les publications récentes

Accès ouvert 2026 article OpenAlex

Application of deep learning to estimate blue and fin whale call density in the southern California Current Ecosystem

Michaela N. Alksne, Marie A. Roch, Kaitlin E. Frasier, John A. Hildebrand et autres

Abstract Blue ( Balaenoptera musculus ) and fin whales ( Balaenoptera physalus ) are dominant contributors to low-frequency ocean soundscapes, yet reliably extracting their calls from long-term passive acoustic recordings is methodologically challenging. Here, we train a multi-class deep-learning detector to identify …

us, no (code pays fourni par la source)

0 citations Scientific Reports
Accès ouvert 2026 dataset OpenAlex

Fine-tuned Faster-R-CNN for detection and classification of blue and fin whale calls in low-frequency audio data

Michaela Noel Alksne, Marie A. Roch, Kaitlin E. Frasier, John Hildebrand et autres

This repository contains the weights for a fine-tuned Faster R-CNN object detection model trained to detect blue and fin whale calls in 60-second spectrograms from passive acoustic recordings. The model detects five call types: blue whale A, B, and D calls, and …

us, no (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 dataset OpenAlex

Fine-tuned Faster-R-CNN for detection and classification of blue and fin whale calls in low-frequency audio data

Michaela Noel Alksne, Marie A. Roch, Kaitlin E. Frasier, John Hildebrand et autres

This repository contains the weights for a fine-tuned Faster R-CNN object detection model trained to detect blue and fin whale calls in 60-second spectrograms from passive acoustic recordings. The model detects five call types: blue whale A, B, and D calls, and …

us, no (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
2025 conference-abstract OpenAlex

Big whales and big data: A convolutional neural network approach to investigating long-term spatial-temporal patterns of blue and fin whales in the Southern California Bight

Michaela N. Alksne, Dolapo Adesanya, Isabelle Jeuris, Kaya Cohen et autres

Blue (Balaenoptera musculus) and fin whales (Balaenoptera physalus) produce low-frequency calls associated with foraging, social interactions, and reproduction. Sonobuoys deployed during California Cooperative Oceanic Fisheries Investigation (CalCOFI) surveys contain recordings of distinct calls produced by these species; namely blue whale A, B, …

us, no (code pays fourni par la source)

0 citations The Journal of the Acoustical Society of America

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