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Dictionary of computer science, engineering, and technology
Dictionary of computer science, engineering, and technology
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Dictionary of computer science, engineering, and technology

Phillip A Laplante ed

Boca Raton, Flor. CRC Press c2001

Localização: ICMC - Inst. Ciên. Mat. Computação    (R D554 e.1 )(Acessar)

2
Current themes in engineering technologies : selected papers of the World Congress on Engineering and Computer Science, San Francisco, California, 24-26 October 2007
Current themes in engineering technologies : selected papers of the World Congress on Engineering and Computer Science, San Francisco, California, 24-26 October 2007
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Current themes in engineering technologies : selected papers of the World Congress on Engineering and Computer Science, San Francisco, California, 24-26 October 2007

World Congress on Engineering and Computer Science (2007 : San Francisco, Calif.) Sio-Iong Ao; Mahyar A Amouzegar; Su-shing Chen

Melville, N.Y. : American Institute of Physics 2008

Localização: IF - Instituto de Física    (MS AIP v.1007 )(Acessar)

3
VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code
VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code
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VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code

Wang, Vei ; Xu, Nan ; Liu, Jin-Cheng ; Tang, Gang ; Geng, Wen-Tong

Computer physics communications, 2021-10, Vol.267, p.108033, Article 108033 [Periódico revisado por pares]

Elsevier B.V

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4
Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo
Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo
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Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo

Abbott, R. ; Baltus, Grégory ; Collette, Christophe ; Cudell, Jean-René ; Fays, Maxime ; scieentific, Others-Ligo ; collaborations, Virgo

SoftwareX, 2021-01, Vol.13, p.100658, Article 100658 [Periódico revisado por pares]

Elsevier B.V

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5
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
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A deep generative model for probabilistic energy forecasting in power systems: normalizing flows

Dumas, Jonathan ; Wehenkel, Antoine ; Lanaspeze, Damien ; Cornélusse, Bertrand ; Sutera, Antonio

Applied energy, 2022-01, Vol.305, p.117871, Article 117871 [Periódico revisado por pares]

Elsevier Ltd

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6
An application of deep reinforcement learning to algorithmic trading
An application of deep reinforcement learning to algorithmic trading
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An application of deep reinforcement learning to algorithmic trading

Théate, Thibaut ; Ernst, Damien

Expert systems with applications, 2021-07, Vol.173, p.114632, Article 114632 [Periódico revisado por pares]

New York: Elsevier Ltd

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7
High-order CFD methods: current status and perspective
High-order CFD methods: current status and perspective
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High-order CFD methods: current status and perspective

Wang, Z.J. ; Fidkowski, Krzysztof ; Abgrall, Rémi ; Bassi, Francesco ; Caraeni, Doru ; Cary, Andrew ; Deconinck, Herman ; Hartmann, Ralf ; Hillewaert, Koen ; Huynh, H.T. ; Kroll, Norbert ; May, Georg ; Persson, Per-Olof ; van Leer, Bram ; Visbal, Miguel

International journal for numerical methods in fluids, 2013-07, Vol.72 (8), p.811-845 [Periódico revisado por pares]

Bognor Regis: Blackwell Publishing Ltd

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8
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
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Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

Nan, Yang ; Ser, Javier Del ; Walsh, Simon ; Schönlieb, Carola ; Roberts, Michael ; Selby, Ian ; Howard, Kit ; Owen, John ; Neville, Jon ; Guiot, Julien ; Ernst, Benoit ; Pastor, Ana ; Alberich-Bayarri, Angel ; Menzel, Marion I. ; Walsh, Sean ; Vos, Wim ; Flerin, Nina ; Charbonnier, Jean-Paul ; van Rikxoort, Eva ; Chatterjee, Avishek ; Woodruff, Henry ; Lambin, Philippe ; Cerdá-Alberich, Leonor ; Martí-Bonmatí, Luis ; Herrera, Francisco ; Yang, Guang

Information fusion, 2022-06, Vol.82, p.99-122 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics
A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics
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A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics

Rappel, H. ; Beex, L. A. A. ; Hale, J. S. ; Noels, L. ; Bordas, S. P. A.

Archives of computational methods in engineering, 2020-04, Vol.27 (2), p.361-385 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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10
Numerical computation of nonlinear normal modes in mechanical engineering
Numerical computation of nonlinear normal modes in mechanical engineering
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Numerical computation of nonlinear normal modes in mechanical engineering

Renson, L. ; Kerschen, G. ; Cochelin, B.

Journal of sound and vibration, 2016-03, Vol.364, p.177-206 [Periódico revisado por pares]

Elsevier Ltd

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Deste Autor:

  1. Chen, S
  2. Laplante, P
  3. Amouzegar, M
  4. World Congress on Engineering and Computer Science
  5. Ao, S

Neste Assunto:

  1. Technology
  2. Computer Science
  3. Technology
  4. Computer Science
  5. Science & Technology

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