Search Results - "Vu, M.T."

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  1. 1

    Magnetic phase transition in La0.8Sr0.2Mn0.9Sb0.1O3 manganite under pressure by Kichanov, S.E., Kozlenko, D.P., Khiem, L.H., Nghia, N.X., Lieu, N.T.T., Vu, M.T., Lukin, E.V., Khan, D.T., Tuan, N.Q., Savenko, B.N., Dang, N.T.

    Published in Chemical physics (01-01-2020)
    “…The high-pressure evolution of structural and magnetic properties of the single valence Mn3+ manganite La0.8Sr0.2Mn0.9Sb0.1O3 was studied by means of neutron…”
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    Journal Article
  2. 2

    Reconstruction of missing groundwater level data by using Long Short-Term Memory (LSTM) deep neural network by Vu, M.T., Jardani, A., Massei, N., Fournier, M.

    Published in Journal of hydrology (Amsterdam) (01-06-2021)
    “…•Employ the LSTM network to fill missing data of groundwater level over 50 years.•Approach requires no calibration for the time-lag in data…”
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  3. 3

    Multi-task neural network in hydrological tomography to map the transmissivity and storativity simultaneously: HT-XNET by Vu, M.T., Jardani, A.

    Published in Journal of hydrology (Amsterdam) (01-09-2022)
    “…•Mapping simultaneously transmissivity and storativity from temporal hydraulic head.•Directly approximate the inversion function using a convolutional neural…”
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  4. 4

    Multitasking neural network to jointly map discrete fracture structures and matrix transmissivity by inverting hydraulic data acquired in 2D fractured aquifers. XNET-fracture by Vu, M.T., Jardani, A.

    Published in Advances in water resources (01-07-2023)
    “…•Mapping simultaneously the fracture network and transmissivity tomography from measured hydraulic heads.•Approximate a direct inversion function using an…”
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  5. 5

    Mapping of hydraulic transmissivity field from inversion of tracer test data using convolutional neural networks. CNN-2T by Vu, M.T., Jardani, A.

    Published in Journal of hydrology (Amsterdam) (01-03-2022)
    “…•Mapping hydraulic transmissivity from temporal data in multiple tracer tests,•Principle based on an encoder-decoder convolutional neural network,•Time…”
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  6. 6

    Mapping discrete fracture networks using inversion of hydraulic tomography data with convolutional neural network: SegNet-Fracture by Vu, M.T., Jardani, A.

    Published in Journal of hydrology (Amsterdam) (01-06-2022)
    “…•Mapping the fracture network from hydraulic heads in a fractured aquifer.•Directly approximate the inverse function using a neural network.•Principle based on…”
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  7. 7

    Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system by Vu, M.T., Jardani, A., Krimissa, M., Zaoui, F., Massei, N.

    Published in The Science of the total environment (01-11-2023)
    “…Accurate prediction of river discharge is critical for a wide range of sectors, from human activities to environmental hazard management, especially in the…”
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  8. 8
  9. 9

    Long-run forecasting surface and groundwater dynamics from intermittent observation data: An evaluation for 50 years by Vu, M.T., Jardani, A., Massei, N., Deloffre, J., Fournier, M., Laignel, B.

    Published in The Science of the total environment (01-07-2023)
    “…The accurate prediction of water dynamics is critical for operational water resource management. In this study, we propose a novel approach to perform…”
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  10. 10

    Ensemble climate projections of mean and extreme rainfall over Vietnam by Raghavan, S.V., Vu, M.T., Liong, S.Y.

    Published in Global and planetary change (01-01-2017)
    “…A systematic ensemble high resolution climate modelling study over Vietnam has been performed using the PRECIS model developed by the Hadley Center in UK. A 5…”
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  11. 11

    Use of Point-and-Shoot Photography to Compare Regional Differences in Canis latrans (Coyote) Skull Size by Vu, Catherine M.T, Piniewski, Devan W, McLean, Osrica A.P, McCabe, Declan J

    Published in Northeastern naturalist (01-05-2018)
    “…Increasing interest in digital resources for zoological study have resulted in the creation of several online collections of specimens with varying degrees of…”
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  14. 14

    Hydraulic tomography in time-lapse mode for tracking the clogging effects associated with the colloid injection by Vu, M.T., Jardani, A., Krimissa, M., Fischer, P., Ahfir, N.

    Published in Advances in water resources (01-11-2019)
    “…•Numerical simulations were developed to highlight the effect of clogging on the hydraulic transmissivity.•Inversion process was formulated in time-lapse mode…”
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  15. 15

    Hydro-meteorological drought assessment under climate change impact over the Vu Gia-Thu Bon river basin, Vietnam by Vu, M.T., Vo, N.D., Gourbesville, P., Raghavan, S.V., Liong, S.-Y.

    Published in Hydrological sciences journal (27-07-2017)
    “…Hydro-meteorological drought was assessed with respect to climate change over an estuary catchment Vu Gia-Thu Bon in Central Vietnam, which economy is…”
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  16. 16

    Pressure induced antiferromagnetism in the manganite La0.7Sr0.3Mn0.83Nb0.17O3 by Vu, M.T., Kozlenko, D.P., Kichanov, S.E., Troyanchuk, I.O., Lukin, E.V., Khiem, L.H., Savenko, B.N.

    Published in Journal of alloys and compounds (05-10-2016)
    “…The crystal and magnetic structure of a manganite La0.7Sr0.3Mn0.83Nb0.17O3 have been studied by means of a neutron diffraction method at pressures up to…”
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  17. 17

    Use of Regional Climate Models for Proxy Data over Transboundary Regions by Vu, M. T, Raghavan, S. V, Liong, S.-Y

    Published in Journal of hydrologic engineering (01-06-2016)
    “…AbstractThe sharing of water resources across transboundary regions between countries has long been a political problem. Sharing of data among countries is…”
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  18. 18

    Ensemble Climate Projection for Hydro-Meteorological Drought over a river basin in Central Highland, Vietnam by Vu, M. T., Raghavan, V. S., Liong, S.-Y.

    Published in KSCE journal of civil engineering (01-02-2015)
    “…This study focuses on the Hydro-Meteorological Drought assessments by Ensemble Climate Projections from a regional climate model (Weather Research and…”
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  19. 19

    A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems by Pham, T.H., Vu, N.M.T., Prodan, I., Lefèvre, L.

    Published in Systems & control letters (01-09-2022)
    “…This paper proposes a Control by Interconnection design, for a class of constrained Port-Hamiltonian systems, which is based on an associated Model Predictive…”
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  20. 20

    Model-based electron density estimation using multiple diagnostics on TCV by Pastore, F., Felici, F., Bosman, T.O.S.J., Galperti, C., Sauter, O., Vincent, B., Vu, N.M.T.

    Published in Fusion engineering and design (01-07-2023)
    “…Estimation of the dynamic evolution of the electron plasma density during a tokamak discharge is crucial since it directly affects the plasma performance,…”
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