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Automated classification algorithms have been applied to breast cancer diagnosis in order to improve the diagnostic accuracy and turnover time. However, classification accuracy, sensitivity and specificity could still be improved further. Moreover, reducing computational cost is another challenge as the number of images to be analyzed is typically large. In this paper, a novel Pixel N-gram approach...
Nitrophenol removal was assessed using four identical lab scale sequencing batch reactors R (background control), R1 (4-nitrophenol i.e. 4-NP), R2 (2,4-dinitrophenol i.e. 2,4-DNP), and R3 (2,4,6-trinitrophenol i.e. 2,4,6-TNP). In the present study, the SND based SBR system was used to carry out total nitrogen removal at reduced aeration (DO=2mg/L) using a specifically designed single sludge biomass...
This paper presents a novel technique for colour image annotation based on neural networks and fuzzy logic. Neural network is proposed for classifying the images based on their contents and fuzzy logic is proposed for interpreting the content of an image in terms of natural language. One of the main aspects of this research is to avoid re-training of the neural networks by training the content of...
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