Results 21 to 30 of about 15,161 (215)

Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast [PDF]

, 2020
Ultrasound Tomography has seen a revival of interest in the past decade, especially for breast imaging, due to improvements in both ultrasound and computing hardware.
Cox, Ben, Javaherian, Ashkan, Lucka, Felix   +2 more
core   +3 more sources

An array-assisted deep learning approach to seismic phase-picking [PDF]

Chinese Science Bulletin, 2020
Rapid increase of seismic data poses challenges to seismic data processing, in which phase-picking is a crucial procedure and accordingly attracts attention from seismologists. Among the breakthroughs in deep learning methods for seismic data processing, seismologists have especially proposed many seismic phase-picking methods based on deep learning ...
Fang Liu, Yiran Jiang, Jieyuan Ning, Jianzhong Zhang, Yanhong Zhao   +4 more
openaire   +1 more source

Pavement testing by integrated geophysical methods: Feasibility, resolution and diagnostic potential [PDF]

, 2017
This work is focused on the assessment of the diagnostic potential of several geophysical methods when applied to the investigation of a rigid airport pavement.
CARDARELLI, Ettore, CERCATO, MICHELE, DE DONNO, GIORGIO, DI GIAMBATTISTA, LUCA, ORLANDO, Luciana   +4 more
core   +1 more source

P- and S- wave velocities of consolidated sediments from a seafloor seismic survey in the North Celtic Sea Basin, offshore Ireland [PDF]

, 2007
A geophysical survey was conducted over a hydrocarbon prospect in the North Celtic Sea Basin using a small array of ocean-bottom seismographs (OBSs). The purpose of this study was to determine the ratio of (P) compressional- to (S) shear-wave velocity of
Minshull, Timothy A., O'Sullivan, John M., Peirce, Christine, Shillington, Donna J.   +3 more
core   +1 more source

Customization of a deep neural network using local data for seismic phase picking

Frontiers in Earth Science, 2023
Deep-learning (DL) pickers have demonstrated superior performance in seismic phase picking compared to traditional pickers. DL pickers are extremely effective in processing large amounts of seismic data.
Yoontaek Hong, Ah-Hyun Byun, Seongryong Kim, Dong-Hoon Sheen   +3 more
doaj   +1 more source

A multiphase seismic investigation of the shallow subduction zone, southern North Island, New Zealand [PDF]

, 2001
The shallow structure of the Hikurangi margin, in particular the interface between the Australian Plate and the subducting Pacific Plate, is investigated using the traveltimes of direct and converted seismic phases from local earthquakes.
Aki, Ansell, Ansell, Anya M. Reading, Bannister, Barnes, Barnes, Bradshaw, Brisbourne, Chanier, David Gubbins, Davy, de Boor, Eberhart-Phillips, Eberhart-Phillips, Franklin, Gledhill, Gubbins, Helffrich, Helffrich, Iidaka, Lancaster, Lodge, Luyendyk, Mao, Marson-Pidgeon, Powell, Reading, Robinson, Samson, Smith, Smith, Smith, Spencer, Stuart, Walcott, Weijian Mao, Wessel, Wood   +38 more
core   +1 more source

First Arrival Picking of Seismic Data Based on Trace Envelope

IEEE Access, 2019
We introduce a new method for first arrival traveltime picking based on the maximum difference between adjacent points of the envelope (MDPE) of a seismic trace.
Abdullah A. Al-Mashhor, Abdullatif A. Al-Shuhail, Sherif M. Hanafy, Wail A. Mousa   +3 more
doaj   +1 more source

The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time

Sensors, 2021
When recording seismic ground motion in multiple sites using independent recording stations one needs to recognize the presence of the same parts of seismic waves arriving at these stations.
Andrey Stepnov, Vladimir Chernykh, Alexey Konovalov   +2 more
doaj   +1 more source

Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves [PDF]

, 2019
The inversion of surface-wave phase-velocity dispersion curves provides a reliable method to derive near-surface shear-wave velocity profiles. In this work, we invert phase-velocity dispersion curves estimated from 2D seismic-reflection data.
Carcione, Jose M., Onnis, Luciano Emanuel, Osella, Ana Maria   +2 more
core   +1 more source

Blockly earthquake transformer: A deep learning platform for custom phase picking

Artificial Intelligence in Geosciences, 2023
Deep-learning (DL) algorithms are increasingly used for routine seismic data processing tasks, including seismic event detection and phase arrival picking.
Hao Mai, Pascal Audet, H.K. Claire Perry, S. Mostafa Mousavi, Quan Zhang   +4 more
doaj   +1 more source