Search Results - "Zhu, Yueqin"
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A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications
Published in Applied geochemistry (01-05-2022)“…The development of analytical and computational techniques and growing scientific funds collectively contribute to the rapid accumulation of geoscience data…”
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Attention-Based Relation Extraction With Bidirectional Gated Recurrent Unit and Highway Network in the Analysis of Geological Data
Published in IEEE access (2018)“…Attention-based deep learning model as a human-centered smart technology has become the state-of-the-art method in addressing relation extraction, while…”
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Feature Engineering of Geohazard Susceptibility Analysis Based on the Random Forest Algorithm: Taking Tianshui City, Gansu Province, as an Example
Published in Remote sensing (Basel, Switzerland) (01-11-2022)“…In this paper, Feature Engineering (FE) was applied to Landslide Susceptibility Mapping (LSM), while the most suitable conditioning feature dataset and…”
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A Coherence-Guided InSAR Phase Unwrapping Method With Cycle-Consistent Adversarial Networks
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2024)“…Phase unwrapping (PU) is a critical processing step for obtaining information on land surface deformation from interferometric synthetic aperture radar (InSAR)…”
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An Enhanced Rock Mineral Recognition Method Integrating a Deep Learning Model and Clustering Algorithm
Published in Minerals (Basel) (01-09-2019)“…Rock mineral recognition is a costly and time-consuming task when using traditional methods, during which physical and chemical properties are tested at micro-…”
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Studies of Dopamine Oxidation Process by Atmospheric Pressure Glow Discharge Mass Spectrometry
Published in Molecules (Basel, Switzerland) (01-05-2023)“…An atmospheric pressure glow discharge ionisation source was constructed and utilized to study the dopamine (DA) oxidation process coupling with mass…”
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Susceptibility-Guided Landslide Detection Using Fully Convolutional Neural Network
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2023)“…Automatic landslide detection based on very high spatial resolution remote sensing images is crucial for disaster prevention and mitigation applications. With…”
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The Landscape of Aberrant Alternative Splicing Events in Steatotic Liver Graft Post Transplantation via Transcriptome-Wide Analysis
Published in International journal of molecular sciences (04-05-2023)“…The application of steatotic liver graft has been increased significantly due to the severe donor shortage and prevalence of non-alcoholic fatty liver disease…”
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Automatic Identification of Landslides Based on Deep Learning
Published in Applied sciences (01-08-2022)“…A landslide is a kind of geological disaster with high frequency, great destructiveness, and wide distribution today. The occurrence of landslide disasters…”
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Ni-doped GST materials for high speed phase change memory applications
Published in Materials research bulletin (01-04-2015)“…[Display omitted] •Phase change materials of Ni doped GST were made by magnetron co-sputtering.•The optimal component of Ni doped GST was…”
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Event Coverage Detection and Event Source Determination in Underwater Wireless Sensor Networks
Published in Sensors (Basel, Switzerland) (15-12-2015)“…With the advent of the Internet of Underwater Things, smart things are deployed in the ocean space and establish underwater wireless sensor networks for the…”
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Spatial-Temporal Distribution Analysis of Industrial Heat Sources in the US with Geocoded, Tree-Based, Large-Scale Clustering
Published in Remote sensing (Basel, Switzerland) (01-09-2020)“…Heavy industrial burning contributes significantly to the greenhouse gas (GHG) emissions. It is responsible for almost one-quarter of the global energy-related…”
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13
Urban Expansion Monitoring Based on the Digital Surface Model—A Case Study of the Beijing–Tianjin–Hebei Plain
Published in Applied sciences (01-06-2022)“…Although urban expansion statistics have been widely carried out, large-scale and rapid monitoring is still worth doing in order to improve the efficiency of…”
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Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
Published in Geomatics, natural hazards and risk (01-01-2021)“…This study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l'Observation de la…”
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15
P_Segnet and NP_Segnet: New Neural Network Architectures for Cloud Recognition of Remote Sensing Images
Published in IEEE access (2019)“…In recent years, remote sensing images have played an important role in environmental monitoring, weather forecasting, and agricultural planning. However,…”
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Cyber-physical-social-thinking modeling and computing for geological information service system
Published in International journal of distributed sensor networks (01-11-2016)“…The serious geological hazards occurred frequently in the last few years. They have inflicted heavy casualties and property losses. Hence, it is necessary to…”
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17
Similarity assessment for scientific workflow clustering and recommendation
Published in Science China. Information sciences (01-11-2016)“…This article proposes to identify and recommend scientific workflows for reuse and repurposing. Specifically, a scientific workflow is represented as a layer…”
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Arachidonic acid activates NLRP3 inflammasome in MDSCs via FATP2 to promote post-transplant tumour recurrence in steatotic liver grafts
Published in JHEP reports (01-12-2023)“…The steatotic grafts have been applied in liver transplantation frequently owing to the high incidence of non-alcoholic fatty liver disease. However, fatty…”
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An Entropy-Based Kernel Learning Scheme toward Efficient Data Prediction in Cloud-Assisted Network Environments
Published in Entropy (Basel, Switzerland) (22-07-2016)“…With the recent emergence of wireless sensor networks (WSNs) in the cloud computing environment, it is now possible to monitor and gather physical information…”
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Etching of new phase change material Ti0.5Sb2Te3 by Cl2/Ar and CF4/Ar inductively coupled plasmas
Published in Applied surface science (01-08-2014)“…•High etch rate, anisotropic patterning, smooth surface, and relatively high selectivity of TST to SiO2 is possible using Cl2/Ar and CF4/Ar ICPS.•XPS analysis…”
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