Results 141 to 150 of about 313,735 (187)

Task-Parceling and Synchronous Retrieval Scheme for Twin-Arm Orchard Apple Tree Automaton. [PDF]

Plants (Basel)
Yan B, Li X.
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Hinst: Human-Like Interactive Instinct Enables Robots to Robustly Accomplish Universal Tasks. [PDF]

Adv Sci (Weinh)
Liao Z, Mao Q, Qin Y, Yuan J, Zhu R.
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Enhancing the resolution of microseismicity through dense array monitoring in complex extensional settings. [PDF]

Sci Rep
Scotto di Uccio F, Muzellec T, Scala A, De Landro G, Camanni G, Carotenuto F, Elia L, Picozzi M, Zollo A, Strumia C, Beroza GC, Festa G.   +11 more
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LPPN: A Lightweight Network for Fast Phase Picking

Seismological Research Letters, 2022
Abstract We here present one lightweight phase picking network (LPPN) to pick P/S phases from continuous seismic recordings. It first classifies the phase type for a segment of waveform, and then performs regression to get accurate phase arrival time.
Ziye Yu, Weitao Wang
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Seismic Phase Picking Using Convolutional Networks

IEEE Transactions on Geoscience and Remote Sensing, 2019
When a seismometer network records an earthquake, operators will manually review the waveforms and identify the wave phases, a task known as phase picking. Manual phase picking is a time-consuming process that can be automated using machine learning; however, automatic methods have not yet achieved human-level performance, and open-source ...
Esteban Pardo, Carmen Garfias, Norberto Malpica   +2 more
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CubeNet: Array-Based Seismic Phase Picking with Deep Learning

Seismological Research Letters, 2022
Abstract In recent years, a variety of deep learning (DL) models for seismic phase picking have attracted considerable attention and are widely adopted in many earthquake monitoring projects. However, most current DL models pick P and S arrivals trace by trace without simultaneously considering the spatial coherence of seismic phases ...
Guoyi Chen, Junlun Li
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Automated phase attribute-based picking applied to reflection seismics

GEOPHYSICS, 2016
We have applied an attribute-based autopicking algorithm to reflection seismics with the aim of reducing the influence of the user’s subjectivity on the picking results and making the interpretation faster with respect to manual and semiautomated techniques.
FORTE, Emanuele, DOSSI, MATTEO, PIPAN, MICHELE, DEL BEN, Anna   +3 more
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Picking and Choosing Among Phase I Trials

2019
This article empirically examines how healthy volunteers evaluate and make sense of the risks of phase I clinical drug trials. This is an ethically important topic because healthy volunteers are exposed to risk but can gain no medical benefit from their trial participation.
Fisher, Jill A., Walker, Rebecca L., Monahan, Torin   +2 more
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Automatic $P$-Phase Picking Based on Local-Maxima Distribution

IEEE Transactions on Geoscience and Remote Sensing, 2008
In this paper, we propose a method for the automatic identification of P-phase arrival based on the distribution of local maxima (LM) in earthquake seismograms. The method efficiently combines energy and frequency characteristics of the LM distribution (LMD).
C. Panagiotakis, E. Kokinou, F. Vallianatos   +2 more
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