Results 51 to 60 of about 19,576 (91)
DetServ: Network Models for Real-Time QoS Provisioning in SDN-Based Industrial Environments
IEEE Transactions on Network and Service Management, 2017 Jochen W. Guck +2 more
semanticscholar +1 more source
Optimal response to epidemics and cyber attacks in networks [PDF]
, 2012 Ilya Safro, Noam Goldberg, Sven Leyffer
core
Control of noise-induced behavior in neural network [PDF]
, 2007 Janson, Natalia +2 more
core +2 more sources
Proceedings of the 12th Cologne-Twente Workshop on Graphs and Combinatorial Optimization (CTW 2013) - Preface [PDF]
, 2013 Hurink, Johann L., Manthey, Bodo
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Some of the next articles are maybe not open access.
IEEE Transactions on Smart Grid, 2022
In multiarea power systems, by preempting the transmission resources, denial-of-service (DoS) attacks may cause continuous packet losses in communication network and correspondingly make a performance degradation or even instability of the load frequency
Yajian Zhang +3 more
semanticscholar +1 more source
In multiarea power systems, by preempting the transmission resources, denial-of-service (DoS) attacks may cause continuous packet losses in communication network and correspondingly make a performance degradation or even instability of the load frequency
Yajian Zhang +3 more
semanticscholar +1 more source
International Journal of Pavement Engineering, 2022
The process of pavement deterioration involves uncertainties, and neural networks have been widely used in pavement performance prediction due to their high accuracy.
Feng Xiao +4 more
semanticscholar +1 more source
The process of pavement deterioration involves uncertainties, and neural networks have been widely used in pavement performance prediction due to their high accuracy.
Feng Xiao +4 more
semanticscholar +1 more source
Deep Deterministic Policy Gradient With Compatible Critic Network
IEEE Transactions on Neural Networks and Learning Systems, 2021Deep deterministic policy gradient (DDPG) is a powerful reinforcement learning algorithm for large-scale continuous controls. DDPG runs the back-propagation from the state-action value function to the actor network’s parameters directly, which raises a ...
Di Wang, Mengqi Hu
semanticscholar +1 more source
International Conference on Neural Information Processing, 2017
The current paper proposes a novel variational Bayes predictive coding RNN model, which can learn to generate fluctuated temporal patterns from exemplars.
Ahmadreza Ahmadi, J. Tani
semanticscholar +1 more source
The current paper proposes a novel variational Bayes predictive coding RNN model, which can learn to generate fluctuated temporal patterns from exemplars.
Ahmadreza Ahmadi, J. Tani
semanticscholar +1 more source