Machine learning in marine ecology: an overview of techniques and applications
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 …
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
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 …
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 …
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 …
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 …
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 …
unprecedented extent. Many surveys were cancelled, including those for walleye pollock …
Shark detection and classification with machine learning
Suitable shark conservation depends on well-informed population assessments. Direct
methods such as scientific surveys and fisheries monitoring are adequate for defining …
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 …
offer considerable advantages over narrowband echosounders. These include improved …
Detecting underwater discrete scatterers in echograms with deep learning-based semantic segmentation
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 …
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 …
the taxonomic resolution of acoustic surveys and reduce the dependence on net and trawl …