Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Amirreza Khodadadian"'
Autor:
Shahrzad Shashaani, Mohammad Teshnehlab, Amirreza Khodadadian, Maryam Parvizi, Thomas Wick, Nima Noii
Publikováno v:
IEEE Access, Vol 11, Pp 46320-46329 (2023)
A recently developed application of computer vision is pathfinding in self-driving cars. Semantic scene understanding and semantic segmentation, as subfields of computer vision, are widely used in autonomous driving. Semantic segmentation for pathfin
Externí odkaz:
https://doaj.org/article/e5dbe52af3a94f27ad7bcf1539774153
Autor:
Effat Jalaeian Zaferani, Mohammad Teshnehlab, Amirreza Khodadadian, Clemens Heitzinger, Mansour Vali, Nima Noii, Thomas Wick
Publikováno v:
Sensors, Vol 22, Iss 16, p 6206 (2022)
In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-encoder is proposed. In previous work, the deep learning ability to extract personality perception from speech was shown, but hyper-parameter tuning was attain
Externí odkaz:
https://doaj.org/article/9925640a0d21458ba11619100d1f6590
Publikováno v:
Sensors, Vol 22, Iss 13, p 4785 (2022)
Silicon nanowire field-effect transistors are promising devices used to detect minute amounts of different biological species. We introduce the theoretical and computational aspects of forward and backward modeling of biosensitive sensors. Firstly, w
Externí odkaz:
https://doaj.org/article/a4b38133d38048e09c0070eab1e03701
Publikováno v:
Applied Mathematical Modelling. 104:826-849
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd18126d158c6c6c41c957f8f25f45c
https://doi.org/10.1016/j.apm.2021.12.011
https://doi.org/10.1016/j.apm.2021.12.011
BAYESIAN INVERSION USING GLOBAL-LOCAL FORWARD MODELS APPLIED TO FRACTURE PROPAGATION IN POROUS MEDIA
Publikováno v:
International Journal for Multiscale Computational Engineering. 20:57-79
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e501343fd39cc6cc855efa411b0e87
https://doi.org/10.1615/intjmultcompeng.2022041735
https://doi.org/10.1615/intjmultcompeng.2022041735
Autor:
Thomas Wick, Fadi Aldakheel, Peter Wriggers, Stijn François, Nima Noii, Amirreza Khodadadian, Jacinto Ulloa
Publikováno v:
Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity 68 (2021), Nr. 4
Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity
Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity
The prediction of crack initiation and propagation in ductile failure processes are challenging tasks for the design and fabrication of metallic materials and structures on a large scale. Numerical aspects of ductile failure dictate a sub-optimal cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c86ed1a3f369eedb291d5a2fb0215963
https://doi.org/10.1007/s00466-021-02054-w
https://doi.org/10.1007/s00466-021-02054-w
Publikováno v:
Mathematical Methods in the Applied Sciences. 44:12500-12521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9654da5df5312cec186874ce17ffd3c1
https://doi.org/10.1002/mma.7556
https://doi.org/10.1002/mma.7556
Publikováno v:
Numerical Methods for Partial Differential Equations. 38:1271-1292
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c77cd6cb5fdb10312c604690502a83d
https://doi.org/10.1002/num.22742
https://doi.org/10.1002/num.22742
A probabilistic approach to phase-field brittle and ductile fracture with random material and geometric properties is proposed within this work. In the macroscopic failure mechanics, materials properties and exactness of spatial quantities (of differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bebdf563bad9e3ce7afa81caecddfb27
http://arxiv.org/abs/2205.13447
http://arxiv.org/abs/2205.13447
Publikováno v:
Applicable Analysis. 101:2279-2294
In this work, we develop a Legendre spectral element method (LSEM) for solving the stochastic nonlinear system of advection–reaction–diffusion models. The used basis functions are based on a class ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8acb62da91df1604edf517129db0d931
https://doi.org/10.1080/00036811.2020.1807007
https://doi.org/10.1080/00036811.2020.1807007