Results 61 to 70 of about 261 (91)

Robust Reconstruction of the Void Fraction from Noisy Magnetic Flux Density Using Invertible Neural Networks. [PDF]

Sensors (Basel)
Kumar N, Krause L, Wondrak T, Eckert S, Eckert K, Gumhold S.   +5 more
europepmc   +1 more source

Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems. [PDF]

Sci Rep
Puleio A, Gaudio P.
europepmc   +1 more source

SRS-Net: a universal framework for solving stimulated Raman scattering in nonlinear fiber-optic systems by physics-informed deep learning. [PDF]

Commun Eng
Song Y, Zhang M, Jiang X, Zhang F, Ju C, Huang S, Lau APT, Wang D.   +7 more
europepmc   +1 more source

AI for atmosphere-ocean sciences: advancements, challenges and ways forward. [PDF]

Natl Sci Rev
Luo JJ, Xia J, Pan B, Ham YG, Li X, Shangguan W, Xue W, Wang Y, Mu B, Hong Y, Li H, Zhong X, Dai K, Bai L, Ling F, Boers N, Bretherton C, Chen B, Cho D, Gentine P, Guo Z, Huang X, Kang D, Kim HJ, Kim JH, Lei L, Meng F, Oh SH, Qin B, Shen Z, Sun Q, Tang Y, Tong X, Wan B, Wang L, Wang Y, Wang Y, Wu J, Xiao Y, Yao L, Yang S, Yuan C, Yuan S, Yu T, Zhao M.   +44 more
europepmc   +1 more source

Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks. [PDF]

Tomography
Leontiou T, Frixou A, Charalambides M, Stiliaris E, Papanicolas CN, Nikolaidou S, Papadakis A.   +6 more
europepmc   +1 more source

A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs. [PDF]

Int J Comput Vis
Amiri-Hezaveh A, Tan S, Deng Q, Umulis D, Cunniff L, Weickenmeier J, Buganza Tepole A.   +6 more
europepmc   +1 more source

Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies. [PDF]

Trans Math Appl
Glatt-Holtz NE, Holbrook AJ, Krometis JA, Mondaini CF.   +3 more
europepmc   +1 more source

Universal differential equations as a unifying modeling language for neuroscience. [PDF]

Front Comput Neurosci
El-Gazzar A, van Gerven M.
europepmc   +1 more source

Towards Nonlinearity: The <i>p</i>-Regularity Theory. [PDF]

Entropy (Basel)
Bednarczuk E, Brezhneva O, Leśniewski K, Prusińska A, Tret'yakov AA.   +4 more
europepmc   +1 more source