Exploration of risk factors for the incidence of knee osteoarthritis in rural areas of northern China and the establishment of a prediction model. [PDF]
PLoS OneMa J, Ma Q, Shi C, Zhuan B, Ma J.
europepmc +1 more source
Study on the Medium and Long Term of Fishery Forecasting Based on Neural Network [PDF]
Lecture Notes in Computer Science, 2012 The forecasting system for medium to long term fishery resources is based on historical production data of specified fish types and those marine environmental factors. As these systems give a macro level prediction of fishery resources in the coming years they provide indispensable references for the planning and management of catching seasons.
Jintao Wang, Xinjun Chen, Chen Xinjun
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A Novel Knowledge Discovery Model for Fishery Forecasting
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009In the area of ocean fisheries research, a new research interest is to use marine environment factors for fishery forecasting. This paper proposes a novel knowledge discovery model for fishery forecasting that uses the Indian Ocean big-eye tuna fishery as its testing ground. The model employs a 3-step process.
Hongchun Yuan
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Ecological-Fishery Forecasting of Squid Stock Dynamics under Climate Variability and Change: Review, Challenges, and Recommendations [PDF]
Reviews in Fisheries Science and Aquaculture, 2021 Globally, cephalopods support large industrial-scale fisheries and small-scale to partly large-scale local artisanal fisheries. They are of increasing economic importance as evidenced by the rapid rise in their global landings from 1950 to 2014 ...
Hassan Moustahfid +2 more
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Estimation Of Biomass, Production And Fishery Potential Of Ommastrephid Squids In The World Ocean And Problems Of Their Fishery Forecasting [PDF]
, 2004 No abstracts are to be cited without prior reference to the author.21 species of the nektonic squids family Ommastrephidae inhabits almost the entire waters of the World Ocean. It is the most commercial important group among cephalopods. Straight and expert evaluations of biomass were carried out for each species.
Ch. M. Nigmatullin (17825144)
openaire +2 more sources
Design and Implementation of Fishery Forecasting System Based on Radial Basis Function Neural Network [PDF]
, 2011 This article introduces the design and implementation of a fishery forecasting system based on Radial Basis Function (RBF) neural network. The system was developed using the Client/Server architecture, the C# programming language in the environment of ...
Jintao Wang, Xinjun Chen
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The Forecasting of the East Anglian Herring Fishery
Journal of Animal Ecology, 1932exaly +2 more sources
Puerulus settlement forecasting in a harvest strategy evaluation of the rock lobster fishery in South Australia [PDF]
Fisheries Management and EcologyHarvest strategies are utilised in the management of fishery resources globally. Critical to their success is harvest strategy evaluation, whereby future performance is assessed through projection modelling.
Richard Mcgarvey +2 more
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Removing biases in forecasts of fishery status
Journal of Bioeconomics, 2013A recent highly cited paper from this journal develops a model predicting maximum sustainable yield (\(MSY\)) of a fishery using the historical maximum catch (\(MaxCatch\)). The model is parameterized with a small sample of fisheries from the United States, and is subsequently applied globally to estimate the benefits of fishery recovery.
Christopher Costello +3 more
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Response to removing biases in forecasts of fishery status
Journal of Bioeconomics, 2013Previously in this journal, we demonstrated an empirical relationship between maximum sustainable yield (MSY) and historical maximum catch (Cmax) for fishery stocks off the Northeast U.S.—a relationship we then applied to estimate the potential catch losses from unsustainable fishing worldwide (Srinivasan et al. 2010).
U. Thara Srinivasan +3 more
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