Results 41 to 50 of about 37,745 (280)

An Integrated Horizon Picking Method for Obtaining the Main and Detailed Reflectors on Sub-Bottom Profiler Sonar Image

open access: yesRemote Sensing, 2021
A sub-bottom profiler (SBP) can capture the sediment interfaces and properties of different types of sediment. Horizon picking from SBP images is one of the most crucial steps in marine sub-bottom sediment interpretation.
Shaobo Li   +3 more
doaj   +1 more source

Seismic Phase Picking

open access: yesCoRR
Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring. Generally, manual phase picking is trustworthy, but with the increasing number of worldwide stations and seismic monitors, it becomes more challenging for human to complete the task comprehensively ...
Yuchen Wang, Ruihuan Wang
openaire   +2 more sources

Arrival times by Recurrent Neural Network for induced seismic events from a permanent network

open access: yesFrontiers in Big Data, 2023
We have developed a Recurrent Neural Network (RNN)-based phase picker for data obtained from a local seismic monitoring array specifically designated for induced seismicity analysis. The proposed algorithm was rigorously tested using real-world data from
Petr Kolar   +3 more
doaj   +1 more source

A Two-Step Matheuristics for Order-Picking Process Problems with One-Directional Material Flow and Buffers

open access: yesApplied Sciences, 2023
The necessity for undertaking this research is driven by the prevailing challenges encountered in logistic centers. This study addresses a logistic order-picking issue involving unidirectional conveyors and buffers, which are assigned to racks and ...
Kateryna Czerniachowska   +2 more
doaj   +1 more source

GreenPhase: A Green Learning Approach for Earthquake Phase Picking

open access: yesCoRR
Earthquake detection and seismic phase picking are fundamental yet challenging tasks in seismology due to low signal-to-noise ratios, waveform variability, and overlapping events. Recent deep-learning models achieve strong results but rely on large datasets and heavy backpropagation training, raising concerns over efficiency, interpretability, and ...
Yixing Wu   +7 more
openaire   +2 more sources

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

open access: yes, 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.
Dong-Hoon Sheen   +3 more
core   +1 more source

Collision-free inverse kinematics of the redundant seven-link manipulator used in a cucumber picking robot

open access: yes, 2010
The paper presents results of research on an inverse kinematics algorithm that has been used in a functional model of a cucumber-harvesting robot consisting of a redundant P6R manipulator.
Willigenburg, L.G., van   +8 more
core   +1 more source

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

open access: yesFEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

PSSegNet: Segmenting the P- and S-Phases in Microseismic Signals through Deep Learning

open access: yesMathematics, 2023
Microseismic P- and S-phase segmentation is an influential step that limits the accuracy of event location, parameter inversion, and mechanism analysis.
Zhengxiang He   +5 more
doaj   +1 more source

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