The aptitude to select those standings from a given assembly that are most telltale of geographic location is of key reputation in efficaciously addressing this task.This procedure of selecting spatially relevant terms is at present not well understood, and the popular of current systems are based on regular term selection methods.They propose two classes of term assortment methods based on sta...

Facies cube is a required part of static model, especially concerning fields characterized by complicated geological structure. The important quantitative limitations for modeling are facies proportions in the formation volume. Nowadays these calculated using standard geostatistical methods without considering particular properties data. These specific geometrical characteristics sedimentologic...

The Environmental Public Health Tracking Network (EPHTN) proposes to link environmental hazards and exposures to health outcomes. Statistical methods used in case-control and cohort studies to link health outcomes to individual exposure estimates are well developed. However, reliable exposure estimates for many contaminants are not available at the individual level. In these cases, exposure/haz...

The coupled ̄ow-mass transport inverse problem is formulated using the maximum likelihood estimation concept. An evolutionary computational algorithm, the genetic algorithm, is applied to search for a global or near-global solution. The resulting inverse model allows for ̄ow and transport parameter estimation, based on inversion of spatial and temporal distributions of head and concentration meas...

in this paper we propose and construct fuzzy algebraic additive model, for the estimation of risk in various fields of human activities or nature’s behavior. though the proposed model is useful in a wide range of scientific fields, it was designed for to torrential risk evaluation in the area of river evros. clearly the model’s performance improves when the number of parameters and the actual d...

Data from the acoustic surveys of MV SA ‘‘Agulhas’’ and FRV ‘‘Walther Herwig’’, and the 1981 RRS ‘‘John Biscoe’’ South Georgia acoustic survey were analysed by geostatistical methods. Estimates of mean density (g m) of krill and their variances are compared with published results from statistical analyses based on random sampling theory. A further high-resolution geostatistical analysis of the ...

One of the most challenging aspects multivariate geostatistics is dealing with complex relationships between variables. Geostatistical co-simulation and spatial decorrelation methods, commonly used for modelling multiple variables, are ineffective in presence complexities. On other hand, multi-Gaussian transforms designed to deal relationships, such as non-linearity, heteroscedasticity geologic...

Air pollution is overflowing in big cities, especially in areas where pollution sources and the human population are concentrated. Economic growth and industrialization caused the increasing emissions of air polluting. Then, the quantities of polluting have increased dramatically; the evaluation of a suitable method for predicting and monitoring the pollution will be very important. To prevent ...

Co-training is a well-known semi-supervised learning technique that applies two basic learners to train the data source, which uses the most confident unlabeled data to augment labeled data in the learning process. In the paper, we use the diversity of class probability estimation (DCPE) between two learners and propose the DCPE co-training approach. The key idea is to use DCPE to predict label...