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Double image compression might occur if the image has been tampered with or embedded into secret data. It is essential to detect double compression for image forensics and blind steganalysis. This paper analyzes the statistical difference in the sub-band DWT (discrete wavelet transform) coefficient histograms between single and double JPEG 2000 compression; devises a scheme to discriminate between...
Dilated Cardiomyopathy is one of leading courses of heart failure. Recent advances in microarray technology have promised significant advantages in understanding the molecular mechanisms underlying dilated cardiomyopathy and heart failure. Several microarray studies have successfully yielded a set of signature genes associated with heart failure. However, it has been found that the overlap of these...
One of key components in the development of smart home technology is the detection and recognition of activities of daily life. Based on a self-adaptive neural network called growing self-organizing maps (GSOM), this paper presents a new computational approach to cluster analysis of human activities of daily living within smart home environment. It was tested on a dataset collected from a set of simple...
Protein-protein interactions (PPIs) play crucial roles in virtually every aspect of cellular function within an organism. One important objective of modern biology is the extraction of functional modules, such as protein complexes from global protein interaction networks. This paper describes how seven genomic features and four experimental interaction data sets were combined using a Bayesian-networks-based...
State failure has been traditionally defined as the collapse of national authority, which may be reflected in disasters such as wars and disruptive regime transitions. The availability of comprehensive datasets and the limitations exhibited by previous forecasting analyses led us to integrate different predictive resources and models through statistical analysis and machine learning. Here we demonstrate...
Retinal photoreceptor cells are responsible for light detection and phototransduction. The understanding of molecular mechanisms regulating photoreceptor gene expression during retinal development may have important implications in clinical neuroscience. Using self-adaptive neural networks and pattern validation statistical tools, this paper explores large-scale analysis of photoreceptor gene expression...
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