Precipitable water vapour (PWV) plays an important role in rain prediction; up to now, lots of different measuring methods and devices are developed observe PWV. In this paper, radiosonde techniques used compute PWV’s spatial temporal variations GNSS (Global Navigation Satellite Systems) using only. data (GPS GLONASS) from eight Egyptian stations were processed for the year 2014. Five period 20...

introduction: ordered subset expectation maximization (osem), is an effective iterative method for spect image reconstruction. the aim of this study is the evaluation of the role of system matrix in osem image reconstruction method using four different physical beam radiation models with three detection configurations. methods: spect was done with an arc of 180 degree in 32 projections after i...

This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors query. The has following features: (i) supports both pool-based and population-based sampling; (ii) is not tailored a particular class of predictors; (iii) can handle known unknown constraints queryable vectors; (iv) run either sequen...

Introduction: It is generally accepted that groundwater is one of the most vital sources of water for drinking use in cities and rural areas. The water drawn from these sources should be sanitary, have low soluble substances, and be free of any pathogens and microorganisms. Materials and Methods: In this study, 90 wells were sampled with proper dispersion over the study area to achieve suitabl...

Resource estimation is one of the most important steps in mining process. Precise resource has a significant influence on optimization subsequent steps, i.e. mine planning and scheduling. The previous Angouran Mine was conducted based provided information local coordinate system which causes considerable errors estimations. Therefore, an attempt made this research to optimize block model UTM gl...

Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. This paper investigates the application of statistical distance, like one minus common variance of observation time series, between data sites instead of geographical distance in interpolation. Here, as a typical representative of interpolation methods ...