Zobrazeno 1 - 10
of 338
pro vyhledávání: '"Alajlan, Naif"'
Publikováno v:
European Journal of Mechanics - A/Solids 87 (2021) 104225
In this paper, we present a deep autoencoder based energy method (DAEM) for the bending, vibration and buckling analysis of Kirchhoff plates. The DAEM exploits the higher order continuity of the DAEM and integrates a deep autoencoder and the minimum
Externí odkaz:
http://arxiv.org/abs/2010.05698
Publikováno v:
Engineering with Computers (2022) 1-22
In this work, we present a deep collocation method for three dimensional potential problems in nonhomogeneous media. This approach utilizes a physics informed neural network with material transfer learning reducing the solution of the nonhomogeneous
Externí odkaz:
http://arxiv.org/abs/2010.12060
Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning
Publikováno v:
In Computers and Mathematics with Applications 1 August 2023 143:303-317
Publikováno v:
In Engineering Analysis with Boundary Elements October 2022 143:535-546
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 December 2021 386
Publikováno v:
In European Journal of Mechanics / A Solids May-June 2021 87
Autor:
Alajlan, Naif
This work presents a geometry-based image retrieval approach for multi-object images. We commence with developing an effective shape matching method for closed boundaries. Then, a structured representation, called curvature tree (CT), is introduced t
Externí odkaz:
http://hdl.handle.net/10012/2625
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 February 2020 359
Autor:
Hamdia, Khader M., Ghasemi, Hamid, Bazi, Yakoub, AlHichri, Haikel, Alajlan, Naif, Rabczuk, Timon
Publikováno v:
In Finite Elements in Analysis & Design 1 November 2019 165:21-30
Publikováno v:
In Computational Materials Science October 2019 168:1-10