Results 21 to 30 of about 807 (71)
Comparison of deterministic and stochastic models of the lac operon genetic network.
Biophysical Journal, 2009 M. Stamatakis, N. Mantzaris
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Some of the next articles are maybe not open access.
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Neural Information Processing Systems, 2022This paper proposes a fast and scalable method for uncertainty quantification of machine learning models' predictions. First, we show the principled way to measure the uncertainty of predictions for a classifier based on Nadaraya-Watson's nonparametric ...
Nikita Kotelevskii +8 more
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IEEE transactions on industrial electronics (1982. Print), 2023
In this article, we develop a deterministic learning control approach using an adaptive neural network (NN) for a two-degree-of-freedom helicopter nonlinear system subject to unknown backlash and model uncertainty.
Zhijia Zhao +4 more
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In this article, we develop a deterministic learning control approach using an adaptive neural network (NN) for a two-degree-of-freedom helicopter nonlinear system subject to unknown backlash and model uncertainty.
Zhijia Zhao +4 more
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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
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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
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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
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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
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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
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Towards Network-Wide Scheduling for Cyclic Traffic in IP-based Deterministic Networks
2021 4th International Conference on Hot Information-Centric Networking (HotICN), 2021The emerging time-sensitive applications, such as industrial automation, smart grids, and telesurgery, pose strong demands for enabling large-scale IP-based deterministic networks. The IETF DetNet working group recently proposes a Cycle Specified Queuing
Yudong Huang +6 more
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IEEE Transactions on Neural Networks and Learning Systems, 2019
In this article, a deterministic annealing neural network algorithm is proposed to solve the minimum concave cost transportation problem. Specifically, the algorithm is derived from two neural network models and Lagrange–barrier functions.
Zhengtian Wu, H. Karimi, C. Dang
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In this article, a deterministic annealing neural network algorithm is proposed to solve the minimum concave cost transportation problem. Specifically, the algorithm is derived from two neural network models and Lagrange–barrier functions.
Zhengtian Wu, H. Karimi, C. Dang
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IEEE Transactions on Network Science and Engineering
With the rise of the Metaverse, Real-time Holographic-type Communication (HTC) has emerged as a promising approach to creating immersive experiences.
Xu Huang +7 more
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With the rise of the Metaverse, Real-time Holographic-type Communication (HTC) has emerged as a promising approach to creating immersive experiences.
Xu Huang +7 more
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Nature Communications
Soil bacteria are vital to ecosystem resilience and resistance, yet ecological attributes and the drivers governing their composition and distribution, especially for taxa varying in ecological traits and inhabiting different ecosystems, are not fully ...
Mia Riddley +7 more
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Soil bacteria are vital to ecosystem resilience and resistance, yet ecological attributes and the drivers governing their composition and distribution, especially for taxa varying in ecological traits and inhabiting different ecosystems, are not fully ...
Mia Riddley +7 more
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