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| 1 | Frother persistence: A measure using gas holdup 显示文摘 | AZGOMI F GOMEZ C O FINCH J A | 2009 | Minerals Engineering2009，22，： | 1 |
| 2 | Correspondence of gas holdup and bubble size in presence of different frothers显示文摘 | Azgomi F Gomez C O Finch J A | | 0，，1： | 1 |
| 3 | Performance evaluation of sensor medium access control protocol usingcoloured petri nets显示文摘 | Mohammad Abdollahi Azgomi Ali Khalili | 2009 | Electronic Notes in Theoretical Computer Science2009，242，2： | 1 |
| 4 | Modeling and verification of hybrid dynamic systems using multi singular hybrid Petri nets 显示文摘 | MOTALLEBI H AZGOMI M A | 2012 | Theoretical Computer Science2012，446，： | 1 |
| 5 | Modeling the propaga- tion of topology-aware P2P worms considering temporal parameters 显示文摘 | Mojahedi E Abdollahi Azgomi M | 2015 | Peer-to-Peer Networking and Applica- tions2015，8，1： | 1 |
| 6 | A stochastic epidemi- ological model for the propagation of active worms con- sidering the dynamicity of network topology 显示文摘 | Jafarabadi A Abdollahi Azgomi M | 2015 | Peer-to- Peer Networking and Applications2015，8，6： | 1 |
| 7 | Conflict-free scheduling and routing of automated guided vehicles in mesh topologies显示文摘 | GHASEMZADEH H BEHRANGI E ABDOLLAHI AZGOMI M | 2009 | Robotics and Autonomous Systems2009，57，67： | 1 |
| 8 | Task scheduling modelling and reliability evaluation of grid services using coloured Petri nets显示文摘 | Azgomi M A Entezari-Maleki R | | 0，，8： | 1 |
| 9 | A modeling tool for hierarchical stochastic activity networks显示文摘 | Azgomi A Movaghar A | 1995 | Simulation Practice and Theory1995，16，6： | 1 |
| 10 | Real-Time and Intelligent Flood Forecasting Using UAV-Assisted Wireless Sensor Network显示文摘The Wireless Sensor Network(WSN)is a promising technology that could be used to monitor rivers’water levels for early warning flood detection in the 5G context.However,during a flood,sensor nodes may be washed up or become faulty,which seriously affects network connectivity.To address this issue,Unmanned Aerial Vehicles(UAVs)could be integrated with WSN as routers or data mules to provide reliable data collection and flood prediction.In light of this,we propose a fault-tolerant multi-level framework comprised of a WSN and a UAV to monitor river levels.The framework is capable to provide seamless data collection by handling the disconnections caused by the failed nodes during a flood.Besides,an algorithm hybridized with Group Method Data Handling(GMDH)and Particle Swarm Optimization(PSO)is proposed to predict forthcoming floods in an intelligent collaborative environment.The proposed water-level prediction model is trained based on the real dataset obtained fromthe Selangor River inMalaysia.The performance of the work in comparison with other models has been also evaluated and numerical results based on different metrics such as coefficient of determination(R2),correlation coefficient(R),RootMean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and BIAS are provided. | Shidrokh Goudarzi Seyed Ahmad Soleymani Mohammad Hossein Anisi Domenico Ciuonzo Nazri Kama Salwani Abdullah Mohammad Abdollahi Azgomi Zenon Chaczko Azri Azmi | 2022 | Computers, Materials & Continua2022，，1： | 0 |
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