Chérubin LM - Search Results

1

Classifying Goliath Grouper (Epinephelus itajara) Behaviors from a Novel, Multi-Sensor Tag.

Brewster LR, Ibrahim AK, DeGroot BC, Ostendorf TJ, Zhuang H, Chérubin LM, Ajemian MJ. Brewster LR, et al. Among authors: cherubin lm. Sensors (Basel). 2021 Sep 24;21(19):6392. doi: 10.3390/s21196392. Sensors (Basel). 2021. PMID: 34640710 Free PMC article.

2

An approach for automatic classification of grouper vocalizations with passive acoustic monitoring.

Ibrahim AK, Chérubin LM, Zhuang H, Schärer Umpierre MT, Dalgleish F, Erdol N, Ouyang B, Dalgleish A. Ibrahim AK, et al. Among authors: cherubin lm. J Acoust Soc Am. 2018 Feb;143(2):666. doi: 10.1121/1.5022281. J Acoust Soc Am. 2018. PMID: 29495690

3

Automatic classification of grouper species by their sounds using deep neural networks.

Ibrahim AK, Zhuang H, Chérubin LM, Schärer-Umpierre MT, Erdol N. Ibrahim AK, et al. Among authors: cherubin lm. J Acoust Soc Am. 2018 Sep;144(3):EL196. doi: 10.1121/1.5054911. J Acoust Soc Am. 2018. PMID: 30424627

4

Classification of red hind grouper call types using random ensemble of stacked autoencoders.

Ibrahim AK, Zhuang H, Chérubin LM, Schärer Umpierre MT, Ali AM, Nemeth RS, Erdol N. Ibrahim AK, et al. Among authors: cherubin lm. J Acoust Soc Am. 2019 Oct;146(4):2155. doi: 10.1121/1.5126861. J Acoust Soc Am. 2019. PMID: 31671953

5

Transfer learning for efficient classification of grouper sound.

Ibrahim AK, Zhuang H, Chérubin LM, Schärer-Umpierre MT, Nemeth RS, Erdol N, Ali AM. Ibrahim AK, et al. Among authors: cherubin lm. J Acoust Soc Am. 2020 Sep;148(3):EL260. doi: 10.1121/10.0001943. J Acoust Soc Am. 2020. PMID: 33003883

6

A multimodel deep learning algorithm to detect North Atlantic right whale up-calls.

Ibrahim AK, Zhuang H, Chérubin LM, Erdol N, O'Corry-Crowe G, Ali AM. Ibrahim AK, et al. Among authors: cherubin lm. J Acoust Soc Am. 2021 Aug;150(2):1264. doi: 10.1121/10.0005898. J Acoust Soc Am. 2021. PMID: 34470309

7

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current.

Huang Y, Tang Y, Zhuang H, VanZwieten J, Cherubin L. Huang Y, et al. Front Artif Intell. 2021 Dec 24;4:780271. doi: 10.3389/frai.2021.780271. eCollection 2021. Front Artif Intell. 2021. PMID: 35005615 Free PMC article.

8

Biophysical larval dispersal models of observed bonefish (Albula vulpes) spawning events in Abaco, The Bahamas: An assessment of population connectivity and ocean dynamics.

Lombardo SM, Chérubin LM, Adams AJ, Shenker JM, Wills PS, Danylchuk AJ, Ajemian MJ. Lombardo SM, et al. Among authors: cherubin lm. PLoS One. 2022 Oct 20;17(10):e0276528. doi: 10.1371/journal.pone.0276528. eCollection 2022. PLoS One. 2022. PMID: 36264943 Free PMC article.

9

Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data.

Muhamed Ali A, Zhuang H, Ibrahim AK, Wang JL, Chérubin LM. Muhamed Ali A, et al. Among authors: cherubin lm. Front Artif Intell. 2022 Oct 21;5:923932. doi: 10.3389/frai.2022.923932. eCollection 2022. Front Artif Intell. 2022. PMID: 36337141 Free PMC article.

10

Detection and localization of Goliath grouper using their low-frequency pulse sounds.

Altaher AS, Zhuang H, Ibrahim AK, Ali AM, Altaher A, Locascio J, McCallister MP, Ajemian MJ, Chérubin LM. Altaher AS, et al. Among authors: cherubin lm. J Acoust Soc Am. 2023 Apr 1;153(4):2190. doi: 10.1121/10.0017804. J Acoust Soc Am. 2023. PMID: 37092909

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