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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover assunto: Mathematical Models remover Engineering, Electrical & Electronic remover
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MoDL: Model-Based Deep Learning Architecture for Inverse Problems
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
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MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Aggarwal, Hemant K. ; Mani, Merry P. ; Jacob, Mathews

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.394-405

United States: IEEE

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2
Modular Dual-Active Bridge Converter Architecture
Modular Dual-Active Bridge Converter Architecture
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Modular Dual-Active Bridge Converter Architecture

Zumel, Pablo ; Ortega, Leonardo ; Lazaro, Antonio ; Fernandez, Cristina ; Barrado, Andres ; Rodriguez, Alberto ; Hernando, Marta Maria

IEEE transactions on industry applications, 2016-05, Vol.52 (3), p.2444-2455 [Periódico revisado por pares]

New York: IEEE

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3
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
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Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

Huang, Wenhao ; Song, Guojie ; Hong, Haikun ; Xie, Kunqing

IEEE transactions on intelligent transportation systems, 2014-10, Vol.15 (5), p.2191-2201 [Periódico revisado por pares]

New York: IEEE

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4
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing
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Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

Ghesu, Florin C. ; Krubasik, Edward ; Georgescu, Bogdan ; Singh, Vivek ; Yefeng Zheng ; Hornegger, Joachim ; Comaniciu, Dorin

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1217-1228

United States: IEEE

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5
Heterogeneous communication architecture for the smart grid
Heterogeneous communication architecture for the smart grid
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Heterogeneous communication architecture for the smart grid

Zaballos, A. ; Vallejo, A. ; Selga, J. M.

IEEE network, 2011-09, Vol.25 (5), p.30-37 [Periódico revisado por pares]

IEEE

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6
Control Architecture for Parallel-Connected Inverters in Uninterruptible Power Systems
Control Architecture for Parallel-Connected Inverters in Uninterruptible Power Systems
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Control Architecture for Parallel-Connected Inverters in Uninterruptible Power Systems

Chi Zhang ; Guerrero, Josep M. ; Vasquez, Juan C. ; Alves Coelho, Ernane Antonio

IEEE transactions on power electronics, 2016-07, Vol.31 (7), p.5176-5188 [Periódico revisado por pares]

New York: IEEE

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7
Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes
Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes
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Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes

Zhabelova, G. ; Vyatkin, V.

IEEE transactions on industrial electronics (1982), 2012-05, Vol.59 (5), p.2351-2362 [Periódico revisado por pares]

New York: IEEE

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8
Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges
Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges
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Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges

Khan, Latif U. ; Mustafa, Ehzaz ; Shuja, Junaid ; Rehman, Faisal ; Bilal, Kashif ; Han, Zhu ; Hong, Choong Seon

IEEE wireless communications, 2024-04, Vol.31 (2), p.156-162 [Periódico revisado por pares]

New York: IEEE

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9
Supporting Heterogeneity in Cyber-Physical Systems Architectures
Supporting Heterogeneity in Cyber-Physical Systems Architectures
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Supporting Heterogeneity in Cyber-Physical Systems Architectures

Rajhans, Akshay ; Bhave, Ajinkya ; Ruchkin, Ivan ; Krogh, Bruce H. ; Garlan, David ; Platzer, Andre ; Schmerl, Bradley

IEEE transactions on automatic control, 2014-12, Vol.59 (12), p.3178-3193 [Periódico revisado por pares]

New York: IEEE

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10
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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