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Clustering objectives in wireless sensor networks: A survey and research direction analysis
Clustering objectives in wireless sensor networks: A survey and research direction analysis
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Clustering objectives in wireless sensor networks: A survey and research direction analysis

Shahraki, Amin ; Taherkordi, Amir ; Haugen, Øystein ; Eliassen, Frank

Computer networks (Amsterdam, Netherlands : 1999), 2020-10, Vol.180, p.1, Article 107376 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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On the Performance of Bidirectional NOMA-SWIPT Enabled IoT Relay Networks
On the Performance of Bidirectional NOMA-SWIPT Enabled IoT Relay Networks
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On the Performance of Bidirectional NOMA-SWIPT Enabled IoT Relay Networks

Rauniyar, Ashish ; Engelstad, Paal E. ; Osterbo, Olav N.

IEEE sensors journal, 2021-01, Vol.21 (2), p.2299-2315 [Periódico revisado por pares]

New York: IEEE

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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Rabault, Jean ; Kuchta, Miroslav ; Jensen, Atle ; Réglade, Ulysse ; Cerardi, Nicolas

Journal of fluid mechanics, 2019-04, Vol.865, p.281-302 [Periódico revisado por pares]

Cambridge, UK: Cambridge University Press

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4
Community Detection in Large-Scale Bipartite Biological Networks
Community Detection in Large-Scale Bipartite Biological Networks
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Community Detection in Large-Scale Bipartite Biological Networks

Calderer, Genís ; Kuijjer, Marieke L

Frontiers in genetics, 2021-04, Vol.12, p.649440-649440 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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5
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
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Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Skrede, Ole-Johan ; De Raedt, Sepp ; Kleppe, Andreas ; Hveem, Tarjei S ; Liestøl, Knut ; Maddison, John ; Askautrud, Hanne A ; Pradhan, Manohar ; Nesheim, John Arne ; Albregtsen, Fritz ; Farstad, Inger Nina ; Domingo, Enric ; Church, David N ; Nesbakken, Arild ; Shepherd, Neil A ; Tomlinson, Ian ; Kerr, Rachel ; Novelli, Marco ; Kerr, David J ; Danielsen, Håvard E

The Lancet (British edition), 2020-02, Vol.395 (10221), p.350-360 [Periódico revisado por pares]

England: Elsevier Ltd

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Performing particle image velocimetry using artificial neural networks: a proof-of-concept
Performing particle image velocimetry using artificial neural networks: a proof-of-concept
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Performing particle image velocimetry using artificial neural networks: a proof-of-concept

Rabault, Jean ; Kolaas, Jostein ; Jensen, Atle

Measurement science & technology, 2017-11, Vol.28 (12), p.125301 [Periódico revisado por pares]

IOP Publishing

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7
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
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Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

Tang, Hongwei ; Rabault, Jean ; Kuhnle, Alexander ; Wang, Yan ; Wang, Tongguang

Physics of fluids (1994), 2020-05, Vol.32 (5) [Periódico revisado por pares]

Melville: American Institute of Physics

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8
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Cote-Allard, Ulysse ; Fall, Cheikh Latyr ; Drouin, Alexandre ; Campeau-Lecours, Alexandre ; Gosselin, Clement ; Glette, Kyrre ; Laviolette, Francois ; Gosselin, Benoit

IEEE transactions on neural systems and rehabilitation engineering, 2019-04, Vol.27 (4), p.760-771 [Periódico revisado por pares]

United States: IEEE

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9
A network design algorithm for multicast communication architectures in smart transmission grids
A network design algorithm for multicast communication architectures in smart transmission grids
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A network design algorithm for multicast communication architectures in smart transmission grids

Adrah, Charles M. ; Palma, David ; Kure, Øivind ; Heegaard, Poul E.

Electric power systems research, 2020-10, Vol.187, p.106484, Article 106484 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer
A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer
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A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer

Stashko, Connor ; Hayward, Mary-Kate ; Northey, Jason J ; Pearson, Neil ; Ironside, Alastair J ; Lakins, Johnathon N ; Oria, Roger ; Goyette, Marie-Anne ; Mayo, Lakyn ; Russnes, Hege G ; Hwang, E Shelley ; Kutys, Matthew L ; Polyak, Kornelia ; Weaver, Valerie M

Nature communications, 2023-06, Vol.14 (1), p.3561-3561, Article 3561 [Periódico revisado por pares]

England: Nature Publishing Group

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