Level curves higher than 100 m of the Gardon basin are analysed using scale relativity tools. These curves depend explicitly on scale (box counting method) and altitude. This dependence is solution of a partial derivative equation (in terms of scale and position). Then the descriptions in terms of scale invariance (constant fractal dimension DF ) are generalized to scale covariance (variable DF...

The regressive analytical method which can be generally understood as the way backward occurs in science on different levels. In scientific practice it represent research, i. e., activities of scientists when looking for the conditions necessary to solve given problems. On the methodological level it stands for ordering a given set of statements, and, finally, on the foundational level it gives...

This paper investigated exchange rate and stock price volatility connectedness spillover in Brazil, Russia, India, China, South Africa (BRICS) during pandemic-induced crises. We first extracted using the Generalized Auto-Regressive Conditional Heteroskedasticity (GARCH) model. Then were by (Diebold Yilmaz, International Journal of Forecasting, 28(1), 57–66, 2012) method. find that return volati...

Estimation of the long-term health effects of air pollution is a challenging task, especially when modeling spatial small-area disease incidence data in an ecological study design. The challenge comes from the unobserved underlying spatial autocorrelation structure in these data, which is accounted for using random effects modeled by a globally smooth conditional autoregressive model. These smo...

Artificial neural networks and fuzzy systems, have gradually established themselves as a popular tool in approximating complicated nonlinear systems and time series forecasting. This paper investigates the hypothesis that the nonlinear mathematical models of multilayer perceptron and radial basis function neural networks and the Takagi–Sugeno (TS) fuzzy system are able to provide a more accurat...

While probabilistic graphical models are a central tool for reasoning under uncertainty in AI, they general not as expressive deep neural models, and inference is notoriously hard slow. In contrast, such sum-product networks (SPNs) capture joint distributions ensure tractable inference, but still lack the power of intractable based on networks. this paper, we introduce conditional SPNs (CSPNs)—...

Three Economic Adjustment Programmes (EAPs) were implemented in Greece, between 2010 and 2015, without achieving the proposed economic objectives. This article analyses impact of EAPs Greece using synthetic control method (SCM) has three main contributions. First, it identifies a long-term negative worth 35.3 per cent Greek GDP capita caused by application EAPs. Second, finds that three-quarter...