Topics
optimizationCultivar (cultivated variety)
Summarization: . 1: Communication networks fundamentals -- Ch. 2: Routing in modern communications networks -- Ch. 3: Satellite networks & the Iridium system -- Ch. 4: Neural networks as an optimization tool -- Ch. 5: A neural routing model for wireless network
Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially ...
Ant colony optimization (ACO) has been proposed as a promising tool for adaptive routing in telecomm...
Purpose. At the present stage, the strategy of informatization of railway transport of Ukraine envis...
Neural networks have shown promise as new computation tools for solving constrained optimization pro...
This paper presents the capability of the neural networks as a computational tool for solving constr...
A Spiking Neural Network (SNN) with neuromorphic architecture for optimal link decisions is put forw...
Generally, routing methods can be implemented using centralized and decentralized methods. In order ...
This article proposes a solution for the routing problem in wireless sensor networks (WSN) based on ...
The performance of nonhierachial circuit switched networks at moderate load conditions is improved w...
The application of neural networks to optimal satellite subset selection for navigation use is discu...
Neural network architectures are effectively applied to solve the channel routing problem. Algorithm...
The development of communication engineering (Internet, satellites, mobiles) changes our daily life....
Satellite communication is inevitable due to the Internet of Everything and the exponential increase...
Computational intelligence is an effective method in solving combinatorial optimization problems. We...
This paper presents a Hopfield neural network that solves the routing problem in a communication net...
Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially ...
Ant colony optimization (ACO) has been proposed as a promising tool for adaptive routing in telecomm...
Purpose. At the present stage, the strategy of informatization of railway transport of Ukraine envis...
Neural networks have shown promise as new computation tools for solving constrained optimization pro...
This paper presents the capability of the neural networks as a computational tool for solving constr...
A Spiking Neural Network (SNN) with neuromorphic architecture for optimal link decisions is put forw...
Generally, routing methods can be implemented using centralized and decentralized methods. In order ...
This article proposes a solution for the routing problem in wireless sensor networks (WSN) based on ...
The performance of nonhierachial circuit switched networks at moderate load conditions is improved w...
The application of neural networks to optimal satellite subset selection for navigation use is discu...
Neural network architectures are effectively applied to solve the channel routing problem. Algorithm...
The development of communication engineering (Internet, satellites, mobiles) changes our daily life....
Satellite communication is inevitable due to the Internet of Everything and the exponential increase...
Computational intelligence is an effective method in solving combinatorial optimization problems. We...
This paper presents a Hopfield neural network that solves the routing problem in a communication net...
Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially ...
Ant colony optimization (ACO) has been proposed as a promising tool for adaptive routing in telecomm...
Purpose. At the present stage, the strategy of informatization of railway transport of Ukraine envis...
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