abstract precipitation as the most important factor plays the main role in many application researches which are based on climatic parameters. many researches in the field of hydrology, hydrometeorology and agriculture employs rain-gauges (such as synoptic and climatologic stations) data. precipitation characteristics, such as rainfall intensity and duration, usually exhibit significant spatial...

Abstract In recent years, the road visibility detection method based on video has been paid more and attention. It overcome deficiency of laser meter to some extent. Deep learning a good effect in image processing analysis. This paper firstly analyzes current situation deep learning, then compares DenseNet ResNet propose estimation model DenseNet. The integrates airport data data. Secondly, alg...

The purpose of this work is to compare the linear and non-linear kriging methods in the mineral resource estimation of the Qolqoleh gold deposit in Saqqez, NW Iran. Considering the fact that the gold distribution is positively skewed and has a significant difference with a normal curve, a geostatistical estimation is complicated in these cases. Linear kriging, as a resource estimation method, c...

Service discovery is the process of localizing resources and services available in large scale open and distributed systems. In a distributed and redundant system as the Web, it is necessary, beside localizing services, to filter them in order to obtain those which are best for the activities for which they have been requested. By the term matchmaker we mean a software entity which monitors ser...

The paper considers the problem of distributed adaptive linear parameter estimation in multi-agent inference networks. Local sensing model information is only partially available at the agents and inter-agent communication is assumed to be unpredictable. The paper develops a generic mixed time-scale stochastic procedure consisting of simultaneous distributed learning and estimation, in which th...

One of the most important issues in all stages of mining study is capital cost estimation. Determination of capital expenditure is a challenging issue for mine designers. In recent decade, quite a few number of studies have focused on proposing estimation models to predict mining capital cost. However, these efforts have not achieved to a predictor model with reliable range of error. Both of ov...