One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven metho...

A comprehensive set of ten artificial neural networks is developed to suggest optimal dimensions of type ‘C’ Bi-lobe tanks used in the shipping of liquefied natural gas. Multi-objective optimization technique considering the maximum capacity and minimum cost of vessels are implemented for determining optimum vessel dimensions. Generated populations from a genet...

today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in ecology. purpose of this research is to predict and map the distribution of tetranychus urticae koch (acari: tetranychidae) using mlp neural networks combined with genetic algorithm in surface of farm. population data of pest was obtained in 2016 by sampling in 1...

Temperature distribution is a critical indicator of the health condition for Liquefied Petroleum Gas (LPG) storage tanks. In this paper, we present a large-scale wireless temperature monitoring system to evaluate the safety of LPG storage tanks. The system includes wireless sensors networks, high temperature fiber-optic sensors, and monitoring software. Finally, a case study on real-world LPG s...

during recent years oil products has decreased because of growing population and increasing demand to oil products and decreasing of crude oil extraction at compare to export. however, to achieve suitable levels of production, the use of improved technologies should be considered. another way to prevent the evaporation and leakage from oil storage tanks and their products are using of storage t...

Nowadays, recognition of oil storage tanks that are crucial targets is vital. Making use of remote sensed images becomes more and more important in the field of targets recognition. In recent twenty years, numerous achievements in the field of object recognition, such as roads, buildings, planes and oil storage tanks. There are plentiful kinds of algorithms presented in target recognition and e...