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Improving Voice-Service Support in Cognitive Radio Networks
An Approach to Modeling and Simulating Resiliency in Multidisciplinary Microservice Networks
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
The impact of cyber network configuration on the dynamic-thermal failure of transformers considering distributed generator controller
Development of a Methodological Tool for Treatment Prioritization in Network-Level Pavement Management System
DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems
Graphene-Like Sheets Supported Fe-Co Layered Double Hydroxides Nanoflakes as An Efficient Electrocatalyst for Both Hydrogen and Oxygen Evolution Reaction, A Green Investigation
Graphene-Like Sheets Supported Fe-Co Layered Double Hydroxides Nanoflakes as An Efficient Electrocatalyst for Both Hydrogen and Oxygen Evolution Reaction, A Green Investigation
Spatiotemporal variation in macroinvertebrate community composition along the stressor gradients in rivers of a middle-eastern basin
Spatiotemporal variation in macroinvertebrate community composition along the stressor gradients in rivers of a middle-eastern basin
The Effect of COVID-19 Pandemic on Emitted PM2.5 in Urban Road Networks: Using Loop Data and Kriging Method for Passenger Cars in the Central Part of the City of Lodz
Applying a systematic conservation planning tool and ecological risk index for spatial prioritization and optimization of protected area networks in Iran
Applying a systematic conservation planning tool and ecological risk index for spatial prioritization and optimization of protected area networks in Iran
Component sizing of a series hybrid electric vehicle through artificial neural network
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تحت نظارت وف بومی