240 citations · 323 across the 11 of their papers we have counts for
4 papers · 1 filter
Is it time to swish? Comparing activation functions in solving the Helmholtz equation using physics-informed neural networks
Ali Al-Safwan, Chao Song, Umair bin Waheed
Solving the wave equation numerically constitutes the majority of the computational cost for applications like seismic imaging and full waveform inversion. An alternative approach…
PINNtomo: Seismic tomography using physics-informed neural networks
Umair bin Waheed, Tariq Alkhalifah, Ehsan Haghighat +2
Seismic traveltime tomography using transmission data is widely used to image the Earth's interior from global to local scales. In seismic imaging, it is used to obtain velocity mo…
Deep learning for low-magnitude earthquake detection on a multi-level sensor network
Ahmed Shaheen, Umair bin Waheed, Michael Fehler +2
Automatic detection of low-magnitude earthquakes has become an increasingly important research topic in recent years due to a sharp increase in induced seismicity around the globe.…
A holistic approach to computing first-arrival traveltimes using neural networks
Umair bin Waheed, Tariq Alkhalifah, Ehsan Haghighat +1
Since the original algorithm by John Vidale in 1988 to numerically solve the isotropic eikonal equation, there has been tremendous progress on the topic addressing an array of chal…