Permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. This study proposes an improved and novel model for predicting permeability from conventional well log data. The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...

In recent years, magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI) has seen wide clinical use, such as for early detection of cerebrovascular diseases and whole body screening for tumors. The apparent diffusion coefficient (ADC) standard phantom, which mimics the ADC values of several lesions in the body, is indispensable for the development of new pulse sequences for DWI, ...

We consider construction of empirical formulas for predicting new averaged experimental data from a finite number of the old ones so as to point out the relevant technical problems. The main problem is that there is always only a finite number of inaccurate data at our disposal. As an example, we construct empirical formulas for describing Planck’s law in terms of averaged experimental data. PA...

Abstract Latest experimental and evaluated α -decay half-lives between 82 ⩽ Z 118 have been used to modify two empirical formulas: (i) Horoi scaling law (2004 J. Phys. G: Nucl. Part. 30 945), Sobiczewski formula (2005 Acta Pol. B 36 3095) by adding asymmetry dependent terms ( I 2 ) refitting of the coefficients. The results these modified formulas are found with significant improvement while co...

MOTIVATION High-accuracy mass spectrometry is a popular technology for high-throughput measurements of cellular metabolites (metabolomics). One of the major challenges is the correct identification of the observed mass peaks, including the assignment of their empirical formula, based on the measured mass. RESULTS We propose a novel probabilistic method for the assignment of empirical formulas...