Results 181 to 190 of about 105,084 (302)
Active protothrusts and fluid highways: Seismic noise reveals hidden subduction dynamics in Cascadia. [PDF]
Kidiwela M +3 more
europepmc +1 more source
The Application of Telemedicine in Surgery
This figure provides an overview of the content presented in this article. Telemedicine is integrated throughout the entire surgical workflow, with distinct applications across the preoperative, intraoperative, and postoperative phases. These applications are enabled by a suite of supporting technologies, while the associated implementation challenges ...
Yufan Yang +8 more
wiley +1 more source
Aseismic slip and seismic swarms leading up to the 2024 M7.3 Hualien earthquake. [PDF]
Peng W +4 more
europepmc +1 more source
ABSTRACT Recent advances in the numerical solution of fractional partial differential equations have yielded promising results. In particular, the Shifted Grünwald–Letnikov (SGL) approach allows for a generalization of the traditional finite difference method to the context of fractional differential equations.
Pedro Victor Serra Mascarenhas +1 more
wiley +1 more source
Rupture of solidified ancient magma that impeded preceding swarm migrations led to the 2024 Noto earthquake. [PDF]
Takagi R, Yoshida K, Okada T.
europepmc +1 more source
Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley +1 more source
Tidal and hydrological seismicity modulations reveal pore fluid diffusion during earthquake nucleation. [PDF]
Zhao Z +5 more
europepmc +1 more source
ABSTRACT Integrating interdisciplinary strategies with artificial intelligence (AI), particularly machine learning (ML), is an effective way of addressing urgent engineering challenges. Therefore, a thorough evaluation of existing methodologies is essential, taking into account their respective strengths, limitations and opportunities.
Lina‐María Guayacán‐Carrillo +2 more
wiley +1 more source
Recent Report on "Slow Earthquake Database"
identifier:oai:t2r2.star.titech.ac.jp ...
openaire +1 more source
Long-period microseismicity reveals cryptic earthquake-triggered fluid activity can facilitate caldera eruptions. [PDF]
Song Z +7 more
europepmc +1 more source

