Articles avec mandats d'accès public - Timo LähivaaraEn savoir plus
Non disponibles : 6
Deterministic and statistical characterization of rigid frame porous materials from impedance tube measurements
M Niskanen, JP Groby, A Duclos, O Dazel, JC Le Roux, N Poulain, ...
The Journal of the Acoustical Society of America 142 (4), 2407-2418, 2017
Exigences : Academy of Finland, European Commission
Full-waveform seismic inversion for estimating aquifer dimensions and hydrologic parameters
T Lähivaara, A Pasanen, A Malehmir, J Kaipio
23rd European Meeting of Environmental and Engineering Geophysics 2017 (1), 1-5, 2017
Exigences : Academy of Finland
Uncertainty quantification in groundwater volume predictions from seismic data using neural networks
M Khalili, P Göransson, JS Hesthaven, S Heinonen, A Pasanen, ...
NSG 2024 30th European Meeting of Environmental and Engineering Geophysics …, 2024
Exigences : Academy of Finland
Monitoring of water table level and volume of water in a porous storage by seismic data
T Lähivaara, P Göransson, S Heinonen, B Bojan, JS Hesthaven, M Khalili, ...
NSG2023 29th European Meeting of Environmental and Engineering Geophysics …, 2023
Exigences : Academy of Finland
A 3D simulation study for monitoring water content in a porous storage
M Khalili, P Göransson, JS Hesthaven, A Pasanen, M Vauhkonen, ...
84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023
Exigences : Academy of Finland
Deep learning-based groundwater storage estimation from seismic data
T Lähivaara, A Malehmir, A Pasanen, L Kärkkäinen, JMJ Huttunen, ...
Second EAGE Conference on Seismic Inversion 2022 (1), 1-5, 2022
Exigences : Academy of Finland
Disponibles quelque part : 55
Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography
T Lähivaara, L Kärkkäinen, JMJ Huttunen, JS Hesthaven
arXiv:1709.09212, 2017
Exigences : Academy of Finland, European Commission
A discontinuous Galerkin method for poroelastic wave propagation: The two-dimensional case
NFD Ward, T Lähivaara, S Eveson
Journal of Computational Physics, 2017
Exigences : Academy of Finland
Estimation of groundwater storage from seismic data using deep learning
T Lähivaara, A Malehmir, A Pasanen, L Kärkkäinen, JMJ Huttunen, ...
Geophysical Prospecting, 2019
Exigences : Academy of Finland, Swedish Research Council for Environment, Agricultural …
Identification of new particle formation events with deep learning
J Joutsensaari, M Ozon, T Nieminen, S Mikkonen, T Lähivaara, ...
Atmospheric Chemistry and Physics 18 (13), 9597-9615, 2018
Exigences : Academy of Finland
A review on fast tomographic imaging techniques and their potential application in industrial process control
U Hampel, L Babout, R Banasiak, E Schleicher, M Soleimani, T Wondrak, ...
Sensors 22 (6), 2309, 2022
Exigences : European Commission
Stand density estimators based on individual tree detection and stochastic geometry
K Kansanen, J Vauhkonen, T Lähivaara, L Mehtätalo
Canadian journal of forest research 46 (11), 1359-1366, 2016
Exigences : Academy of Finland
Estimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching
K Kansanen, J Vauhkonen, T Lähivaara, A Seppänen, M Maltamo, ...
ISPRS Journal of Photogrammetry and Remote Sensing 152, 66-78, 2019
Exigences : Academy of Finland
Estimation of aquifer dimensions from passive seismic signals in the presence of material and source uncertainties
T Lähivaara, NF Dudley Ward, T Huttunen, Z Rawlinson, JP Kaipio
Geophysical Journal International 200 (3), 1662-1675, 2015
Exigences : Academy of Finland
A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials
JP Kaipio, T Huttunen, T Luostari, T Lähivaara, PB Monk
Inverse Problems 35 (8), 084001, 2019
Exigences : US Department of Defense, Academy of Finland
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning
T Nissinen, S Suoranta, T Saavalainen, R Sund, O Hurskainen, ...
Bone reports 14, 101070, 2021
Exigences : Academy of Finland
Estimation of moisture content distribution in porous foam using microwave tomography with neural networks
T Lähivaara, R Yadav, G Link, M Vauhkonen
IEEE Transactions on Computational Imaging 6, 1351-1361, 2020
Exigences : Academy of Finland, European Commission
Gaussian process regression for forest attribute estimation from airborne laser scanning data
P Varvia, T Lähivaara, M Maltamo, P Packalen, A Seppänen
IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3361-3369, 2018
Exigences : Academy of Finland
Deterministic and statistical methods for the characterisation of poroelastic media from multi-observation sound absorption measurements
J Cuenca, P Göransson, L De Ryck, T Lähivaara
Mechanical Systems and Signal Processing 163, 108186, 2022
Exigences : Academy of Finland, European Commission, Vinnova, Sweden
Microwave tomography using neural networks for its application in an industrial microwave drying system
R Yadav, A Omrani, G Link, M Vauhkonen, T Lähivaara
Sensors 21 (20), 6919, 2021
Exigences : Academy of Finland, European Commission
Les informations concernant la publication et le financement sont déterminées automatiquement par un programme informatique