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This paper presents a new neural network based method for the segmentation of sky from video data collected from a vehicle with a fixed camera position. Using a combination of spatial information, a neural network and thresholding, a high degree of success has been achieved with the images tested. Having the approximate location of the sky allows for an initial starting point for segmentation to be...
Neural networks provide an alternative approach for the solution of complex non-linear data fitting problems. In this paper, we propose a novel technique using a multilayer perceptron neural network to fit high energy stopping power data, where the unknown stopping power functional form was fitted to experimental data by a set of linear combination of neurons. The projectiles of Li, B, N, O, Ne and...
Correlations between magnetic susceptibility and contents of magnetic minerals in rocks are important in interpreting magnetic anomalies in geophysical exploration and understanding magnetic behaviors of rocks in rock magnetism studies. Previous studies were focused on describing such correlations using a sole expression or a set of expressions through statistical analysis. In this paper, we use neural...
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