Results 281 to 290 of about 294,880 (360)

What is “accuracy”? Rethinking machine learning classifier performance metrics for highly imbalanced, high variance, zero‐inflated species count data

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Machine learning has opened the door for the automated sorting (classification) of images, holograms and acoustic backscatters of individual plankton, invertebrates, fish and marine mammals. However, this field is complicated by decades of paradoxically promising reports of classifier performance that do not correlate with real‐world uptake of
Bianca M. Owen   +5 more
wiley   +1 more source

Relationships between acoustic scattering layers and ocean stratification: An acoustic approach to estimate mixed layer depth

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Ocean stratification, measured as mixed layer depth (MLD), is an important feature that influences many processes in the ocean; for example, by mediating the fluxes of momentum, heat and crucially key gases such as CO2 and oxygen from the atmosphere into the water column and vice versa. The conventional methods to measure stratification (e.g.,
Fabio Campanella   +2 more
wiley   +1 more source

A low‐cost, automated, and adaptable system for field‐based measurement of pCO2, pCH4, and associated variables in groundwater

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract The Groundwater Automated Chemical Examiner (GrACE) is an automated analytical system of integrated sensors for the field‐based measurement of chemical and physical properties of groundwater. The GrACE system was designed to explore parameters influencing the dissolved concentrations of carbon dioxide (pCO2) and methane (pCH4) in groundwater ...
Madeline McChesney Every   +2 more
wiley   +1 more source

Predicting potential Arctic kelp distribution and lower‐depth biomass from seafloor irradiance

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Kelps have an extensive distribution in Arctic coastal waters. However, quantifying their role in the Arctic food web and carbon cycle is challenged by the scarcity of documented geographical distribution, standing stocks and production. Here we present a framework based on an empirical function to predict the potential kelp distribution and ...
Laura Castro de la Guardia   +13 more
wiley   +1 more source

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