Add to ORKGSIGLEAvailable from British Library Document Supply Centre-DSC:DXN040041 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts es...
Symposium on Integrating New Advances in Mediterranean Oceanography and Marine Biology, 26-29 Novemb...
An artificial neural network (ANN), a data driven modelling approach, is proposed to predict the alg...
We present an application of the Neural Network approach to a problem of classification of marine ba...
Radial basis function artificial neural networks (ANNs) were trained to discriminate between phytopl...
Phytoplankton form the basis of the marine food web and are an indicator for the overall status of t...
The variability of phytoplankton distribution has been unraveled by high-frequency measurements. Suc...
Automatic taxonomic categorisation of 23 species of dinoflagellates was demonstrated using field-col...
International audienceA neural network-based method is developed to assess the vertical distribution...
Neural network analysis is proposed and evaluated as a method of analysis of marine biological data...
Available from British Library Document Supply Centre- DSC:DXN060705 / BLDSC - British Library Docum...
A method based on artificial neural network (ANN) for monitoring aquatic bacteria which would be use...
Martech 2007 International Workshop on Marine Technology, 15-16 november 2007, Vilanova i la Geltrú,...
Abstract Background Phytoplankton species identification and counting is a crucial step of water qua...
We propose a new method for classification of marine bacteria. This method uses gaschromatograms, wh...
The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts es...
Symposium on Integrating New Advances in Mediterranean Oceanography and Marine Biology, 26-29 Novemb...
An artificial neural network (ANN), a data driven modelling approach, is proposed to predict the alg...
We present an application of the Neural Network approach to a problem of classification of marine ba...
Radial basis function artificial neural networks (ANNs) were trained to discriminate between phytopl...
Phytoplankton form the basis of the marine food web and are an indicator for the overall status of t...
The variability of phytoplankton distribution has been unraveled by high-frequency measurements. Suc...
Automatic taxonomic categorisation of 23 species of dinoflagellates was demonstrated using field-col...
International audienceA neural network-based method is developed to assess the vertical distribution...
Neural network analysis is proposed and evaluated as a method of analysis of marine biological data...
Available from British Library Document Supply Centre- DSC:DXN060705 / BLDSC - British Library Docum...
A method based on artificial neural network (ANN) for monitoring aquatic bacteria which would be use...
Martech 2007 International Workshop on Marine Technology, 15-16 november 2007, Vilanova i la Geltrú,...
Abstract Background Phytoplankton species identification and counting is a crucial step of water qua...
We propose a new method for classification of marine bacteria. This method uses gaschromatograms, wh...
The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts es...
Symposium on Integrating New Advances in Mediterranean Oceanography and Marine Biology, 26-29 Novemb...
An artificial neural network (ANN), a data driven modelling approach, is proposed to predict the alg...