Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
PINNeik: Eikonal solution using physics-informed neural networks
The eikonal equation is utilized across a wide spectrum of science and engineering
disciplines. In seismology, it regulates seismic wave traveltimes needed for applications like …
disciplines. In seismology, it regulates seismic wave traveltimes needed for applications like …
Regularized elastic full-waveform inversion using deep learning
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …
potentially provides more accurate high-resolution reservoir characterization from seismic …
PINNtomo: Seismic tomography using physics-informed neural networks
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 models for …
interior from global to local scales. In seismic imaging, it is used to obtain velocity models for …
Joint inversion of multiple geophysical and petrophysical data using generalized fuzzy clustering algorithms
Joint inversion that simultaneously inverts multiple geophysical data sets to recover a
common Earth model is increasingly being applied to exploration problems. Petrophysical …
common Earth model is increasingly being applied to exploration problems. Petrophysical …
Ntfields: Neural time fields for physics-informed robot motion planning
Neural Motion Planners (NMPs) have emerged as a promising tool for solving robot
navigation tasks in complex environments. However, these methods often require expert …
navigation tasks in complex environments. However, these methods often require expert …
Adjoint‐state teleseismic traveltime tomography: Method and application to Thailand in Indochina Peninsula
We propose a novel framework for teleseismic traveltime tomography that requires no ray
tracing. The tomographic inverse problem is formulated as an Eikonal equation‐constrained …
tracing. The tomographic inverse problem is formulated as an Eikonal equation‐constrained …
A neural network based global traveltime function (GlobeNN)
Global traveltime modeling is an essential component of modern seismological studies with
a whole gamut of applications ranging from earthquake source localization to seismic …
a whole gamut of applications ranging from earthquake source localization to seismic …
Laplace HypoPINN: physics-informed neural network for hypocenter localization and its predictive uncertainty
Several techniques have been proposed over the years for automatic hypocenter
localization. While those techniques have pros and cons that trade-off computational …
localization. While those techniques have pros and cons that trade-off computational …
A fast marching algorithm for the factored eikonal equation
The eikonal equation is instrumental in many applications in several fields ranging from
computer vision to geoscience. This equation can be efficiently solved using the iterative …
computer vision to geoscience. This equation can be efficiently solved using the iterative …
Upwind, no more: Flexible traveltime solutions using physics-informed neural networks
The eikonal equation plays an important role across multidisciplinary branches of science
and engineering. In geophysics, the eikonal equation and its characteristics are used in …
and engineering. In geophysics, the eikonal equation and its characteristics are used in …