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| 1 | Non bronchial collateral supply from the left gastric artery in massive haemoptysis显示文摘 | Sellars N ]qli A M | 2001 | Eur Radiol2001，11，1： | 1 |
| 2 | A DSC approach to adaptive neural network tracking control for pure-feedback nonlinear sys- tems显示文摘 | G Sun D Wang X QLi Z H Peng | 2013 | Applied Mathematics and Computation2013，219，11： | 1 |
| 3 | Newcastle disease outbreaks in western china were cause by genotypes Ⅶa and Ⅷ显示文摘 | LIANG R CAO D J QLI J | 2002 | Veterinary Microbiology2002，87，3： | 1 |
| 4 | Molecularly imprinted polymer foams with well-defined open-cell strncture derived from Pickering HIPEs and their enhanced recognition of λ-cyhalnthrin显示文摘 | PAN J M QLI Q CAO J | 2014 | Chem Eng J2014，253，： | 1 |
| 5 | Effects of auxiliary fiber posts on endodontically treated teeth with flared canals 显示文摘 | QLi BXu Y Wang | 2011 | Operative Dentistry2011，36，4： | 1 |
| 6 | Biological characteristics and pathogenicity of a highly pathogenic Shewanella marisflavi infecting sea cucumber, Apostichopus japonicus显示文摘 | HLi GQiao QLi WZhou K MWon D‐HXu S‐IPark | 2010 | Journal of Fish Diseases2010，，11： | 1 |
| 7 | Biological characteristics and pathogenicity of a highly pathogenic Shewanella marisflavi infecting sea cucumber, Apostichopus japonicus显示文摘 | HLi GQiao QLi WZhou K MWon D‐HXu S‐IPark | 2010 | Journal of Fish Diseases2010，，11： | 1 |
| 8 | High-doseAmbroxolReducesPulmonaryComplicationsinPatientswithAcuteCervicalSpinalCordInjuryAfterSurgery显示文摘 | QLi GYao XZhu | 2012 | Neurocriticalcare2012，16，2： | 1 |
| 9 | Transfer learning framework for multi-scale crack type classification with sparse microseismic networks显示文摘Rock fracture mechanisms can be inferred from moment tensors(MT)inverted from microseismic events.However,MT can only be inverted for events whose waveforms are acquired across a network of sensors.This is limiting for underground mines where the microseismic stations often lack azimuthal coverage.Thus,there is a need for a method to invert fracture mechanisms using waveforms acquired by a sparse microseismic network.Here,we present a novel,multi-scale framework to classify whether a rock crack contracts or dilates based on a single waveform.The framework consists of a deep learning model that is initially trained on 2400000+manually labelled field-scale seismic and microseismic waveforms acquired across 692 stations.Transfer learning is then applied to fine-tune the model on 300000+MT-labelled labscale acoustic emission waveforms from 39 individual experiments instrumented with different sensor layouts,loading,and rock types in training.The optimal model achieves over 86%F-score on unseen waveforms at both the lab-and field-scale.This model outperforms existing empirical methods in classification of rock fracture mechanisms monitored by a sparse microseismic network.This facilitates rapid assessment of,and early warning against,various rock engineering hazard such as induced earthquakes and rock bursts. | Arnold Yuxuan Xie Bing QLi | 2024 | International Journal of Mining Science and Technology2024，34，2： | 0 |
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