Abstract Most conventional statistical methods aiming at defining geochemical concentration thresholds for separating anomalies from background have limited effectiveness in areas with complex geological settings and variable lithology. In this paper, median+2MAD as a method of exploratory data analysis (EDA) and concentration-area (C-A) fractal model as two effective approaches in separation g...

Keywords: Local mean decomposition Data fusion Complex signal analysis Time–frequency analysis Signal nonlinearity Spike identification a b s t r a c t The local mean decomposition (LMD) has been recently developed for the analysis of time series which have nonlinearity and nonstationarity. The smoothed local mean of the LMD surpasses the cubic spline method used by the empirical mode decomposi...

The Concealed Information Test (CIT) requires the examinee to deceptively deny recognition of known stimuli and to truthfully deny recognition of unknown stimuli. Because deception and orienting are typically coupled, it is unclear how exactly these sub-processes affect the physiological responses measured in the CIT. The present study aimed at separating the effects of deception from those of ...

This report follows Kishimoto et al. (2007). The Japan Meteorological Agency (JMA) conducted verification of the behaviors of past tropical cyclones (TCs) for the purpose of developing the diagnosis of T-number 0.5 (T0.5). The results indicate that T0.5 diagnosis is valid for satellite image analysis for TCs in the early developing stage (early stage Dvorak analysis: EDA). Organized convective ...

E nergy consumption has increased significantly in Iran during the recent decades. In this study, an inter-industrial model has been improved to investigate the sources of the changes in the energy consumption of the country. The input-output tables of Iran for the years 1988 and 2001 have been employed as the database of the model. The innovation of this research allows the researchers to stud...

Thailand is a net energy importer that has steadily increased the demand for over past several decades. But there not been systematic analysis of change factors. Therefore, decomposition was applied to determine major factor causing in use during years 1990-2020. The covered regional financial crisis known as “Tom Yum Kung” 1997-1998 and global pandemic COVID-19 2020 onwards. results showed val...