Results 191 to 200 of about 20,321 (318)
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Modeling of the Arabian/Nubian shield's geothermal structure: a multi-parametric analysis using geophysical and geological tools. [PDF]
Haggag M +5 more
europepmc +1 more source
Seismic processing prediction with a generative adversarial network
Jaime Andres Collazos Gonzalez
openalex +1 more source
Unsupervised and Self-Supervised Deep Learning for Seismic Data Processing: Methods and Applications
Ji Li
openalex +1 more source
LamelODF is a MATLAB‐based toolbox aimed at simplifying the automated extraction of orientation distribution functions from 2D X‐ray diffraction data of lamellar minerals in transmission mode. It accommodates both laboratory and synchrotron data formats, providing an integrated pipeline from raw data to spatially resolved textural maps, enabling robust
Baptiste Dazas +5 more
wiley +1 more source
Single-station analysis of Campi Flegrei (Italy) seismic signals using multiscale entropy and unsupervised learning. [PDF]
Grimaldi A +9 more
europepmc +1 more source
Superresolution with Seismic Arrays using Empirical Matched Field Processing
D. B. Harris, Tormod Kværna
openalex +1 more source
The Multilevel Implications of a Sinn Féin Government in Ireland
Abstract The electoral growth of Sinn Féin on both sides of the Irish border has generated much political and academic attention in recent years. The party could form part of the government in Dublin for the first time at the next Irish general election, though that outcome is far from certain.
Conor J. Kelly
wiley +1 more source

