Machine learning in marine ecology: an overview of techniques and applications

P Rubbens, S Brodie, T Cordier… - ICES Journal of …, 2023 - academic.oup.com
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review

A Yassir, SJ Andaloussi, O Ouchetto, K Mamza… - Fisheries …, 2023 - Elsevier
In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …

Research on mining of applied mathematics educational resources based on edge computing and data stream classification

L Lu, J Zhou - Mobile Information Systems, 2021 - Wiley Online Library
Facing the massive data of higher education institutions, data mining technology is an
intelligent information processing technology that can effectively discover knowledge from …

Recent advances in acoustic technology for aquaculture: A review

D Li, Z Du, Q Wang, J Wang, L Du - Reviews in Aquaculture, 2024 - Wiley Online Library
Acoustic technology has great application prospects in aquaculture. In particular, two
indispensable, critical technologies for the future aquaculture industry are multi‐sensor …

Setting the stage for the machine intelligence era in marine science

C Beyan, HI Browman - ICES Journal of Marine Science, 2020 - academic.oup.com
Abstract Machine learning, a subfield of artificial intelligence, offers various methods that can
be applied in marine science. It supports data-driven learning, which can result in automated …

Uncrewed surface vehicle (USV) survey of walleye pollock, Gadus chalcogrammus, in response to the cancellation of ship-based surveys

A De Robertis, M Levine… - ICES Journal of …, 2021 - academic.oup.com
Abstract In 2020, the developing COVID-19 pandemic disrupted fisheries surveys to an
unprecedented extent. Many surveys were cancelled, including those for walleye pollock …

Shark detection and classification with machine learning

J Jenrette, ZYC Liu, P Chimote, T Hastie, E Fox… - Ecological …, 2022 - Elsevier
Suitable shark conservation depends on well-informed population assessments. Direct
methods such as scientific surveys and fisheries monitoring are adequate for defining …

Quantitative processing of broadband data as implemented in a scientific split‐beam echosounder

LN Andersen, D Chu, NO Handegard… - Methods in Ecology …, 2024 - Wiley Online Library
The use of quantitative broadband echosounders for biological studies and surveys can
offer considerable advantages over narrowband echosounders. These include improved …

Detecting underwater discrete scatterers in echograms with deep learning-based semantic segmentation

R Vohra, F Senjaliya, M Cote, A Dash… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper reports on an exploratory study of the automatic detection of discrete scatterers in
the water column from underwater acoustic data with deep learning (DL) networks …

Model-informed classification of broadband acoustic backscatter from zooplankton in an in situ mesocosm

M Dunn, C McGowan-Yallop… - ICES Journal of …, 2024 - academic.oup.com
Classification of zooplankton to species with broadband echosounder data could increase
the taxonomic resolution of acoustic surveys and reduce the dependence on net and trawl …