I.3.7. Engineering
1. A Technique for Improving Web Mining using Enhanced Genetic Algorithm

F. Nosratian; H. Nematzadeh; H. Motameni

Volume 7, Issue 4 , Autumn 2019, , Pages 597-606

Abstract
  World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the ...  Read More

I.3.7. Engineering
2. Robust state estimation in power systems using pre-filtering measurement data

Mohsen Khosravi; Mahdi Banejad; Heydar Toosian Shandiz

Volume 5, Issue 1 , Winter 2017, , Pages 111-125

Abstract
  State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to ...  Read More

I.3.7. Engineering
3. Prediction of maximum surface settlement caused by earth pressure balance shield tunneling using random forest

V. R. Kohestani; M. R. Bazarganlari; J. Asgari marnani

Volume 5, Issue 1 , Winter 2017, , Pages 127-135

Abstract
  Due to urbanization and population increase, need for metro tunnels, has been considerably increased in urban areas. Estimating the surface settlement caused by tunnel excavation is an important task especially where the tunnels are excavated in urban areas or beneath important structures. Many models ...  Read More

I.3.7. Engineering
4. Artificial neural networks, genetic algorithm and response surface methods: The energy consumption of food and beverage industries in Iran

B. Hosseinzadeh Samani; H. HouriJafari; H. Zareiforoush

Volume 5, Issue 1 , Winter 2017, , Pages 79-88

Abstract
  In this study, the energy consumption in the food and beverage industries of Iran was investigated. The energy consumption in this sector was modeled using artificial neural network (ANN), response surface methodology (RSM) and genetic algorithm (GA). First, the input data to the model were calculated ...  Read More

I.3.7. Engineering
5. Evaluation of liquefaction potential based on CPT results using C4.5 decision tree

A. Ardakani; V. R. Kohestani

Volume 3, Issue 1 , Winter 2015, , Pages 85-92

Abstract
  The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design ...  Read More