We investigate the use of co-occurrence texture measures to provide information on different building densities inside a town structure. We try to improve the pixel-by-pixel classification of an urban area by considering texture measures as a means for block analysis and classification. We find some interesting hints concerning the optimal dimension of the window to be considered for texture me...

Several surveys have tried to determine the prevalence of decisionmaking policies and guidelines in hospitals and nursing homes, but available data are incomplete and inconclusive. The data do reveal substantial growth in the prevalence of protocols over the last decade, but they also suggest serious remaining deficits. In addition, differences in focus, methods, and timing of completed surveys...

This paper provides new insights into the currently available extended linear matrix inequality (LMI) conditions for control of discrete-time linear systems, motivating the use of two intrinsically different extended LMI characterizations for H2 performance. While these conditions are equivalent for H2 analysis and many H2 control problems related to precisely known linear time-invariant (LTI) ...

This work introduces, develops, and empirically applies an innovative approach aimed at assessing selling prices based on the value perceived by customers, as measured electronic word-of-mouth (eWOM) in guise of online reviews. To achieve this aim, it a constant return to scale Data Envelopment Analysis (DEA) where price is input, attributes are outputs through eWOM form We apply model hotel se...

An improved fuzzy c-means algorithm is put forward and applied to deal with meteorological data on top of the traditional fuzzy c-means algorithm. The proposed algorithm improves the classical fuzzy c-means algorithm (FCM) by adopting a novel strategy for selecting the initial cluster centers, to solve the problem that the traditional fuzzy c-means (FCM) clustering algorithm has difficulty in s...