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第九届环境系统网络和技术国际会议（The 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018)）
第九届 环境 系统网络和技术 国际会议
2018/1/10
The 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018) is a leading international conference for researchers and industry practitioners to share their new ideas, ori...
Travelers' Route Choice Behavior in Risky Networks
Process Model Route Choice Utility Model
2014/10/31
The accurate modeling of travelers’ route choice decision making when faced with unreliable (risky) travel times is necessary for the assessment of policies aimed at improving travel time reliability....
Application of Artificial Neural Networks Model as Analytical Tool for Groundwater Salinity
Groundwater Salinity Artificial Neural Networks Modeling Analytical Tool
2013/3/12
The main source of water in Gaza Strip is the shallow coastal aquifer. It is extremely deteriorated in terms of salinity which influenced by many variables. Studying the relation between these variabl...
DYNAQ: A Chlorine Decay Simulator in Water Supply Networks
Chlorine decay Water supply networks Computer modelling
2009/10/14
Drinking water chlorination is an important issue for public health. Chlorine de ciency may lead to contamination of water whereas an excess amount of chlorine may cause trihalomethanes, which are sus...
Entropy-Based Assessment of Water Quality Monitoring Networks
Water quality monitoring Design of monitoring networks Entropy Hydrologic information
2009/10/13
Assessment of water quality monitoring networks requires potential methods to delineate the efficiency and cost-effectiveness of current monitoring programs. To this end, the concept of entropy has be...
Determination of the Effects of Water Pollution of Aquacultures using Neural Networks
Balı k havuzları Su kirlilgi Modelleme Yapay sinir agları
2009/10/13
Determination of the Effects of Water Pollution of Aquacultures using Neural Networks。
Prediction of Sulfur Dioxide (SO2) Concentration Levels from the Mina Al-Fahal Refinery in Oman Using Artificial Neural Networks
Air pollution ANN SO models refinery Sultanate of Oman
2009/1/6
In this investigation, two Artificial Neural Network (ANN) models were applied for predicting ground-level sulfur dioxide (SO2) in the Sultanate of Oman in order to provide an early warning advisory f...