Yuanyuan Pu

ORCID: 0000-0003-4548-2691
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About
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Research Areas
  • Rock Mechanics and Modeling
  • Nitrogen and Sulfur Effects on Brassica
  • Plant Molecular Biology Research
  • Photosynthetic Processes and Mechanisms
  • Landslides and related hazards
  • Mineral Processing and Grinding
  • Geophysical Methods and Applications
  • Plant Stress Responses and Tolerance
  • Seismic Waves and Analysis
  • Geotechnical and Geomechanical Engineering
  • Seismology and Earthquake Studies
  • Plant Gene Expression Analysis
  • Lipid metabolism and biosynthesis
  • Plant Disease Resistance and Genetics
  • Seismic Imaging and Inversion Techniques
  • Indoor and Outdoor Localization Technologies
  • Drilling and Well Engineering
  • Minerals Flotation and Separation Techniques
  • Tunneling and Rock Mechanics
  • Geoscience and Mining Technology
  • Earthquake Detection and Analysis
  • Advanced Algorithms and Applications
  • Peanut Plant Research Studies
  • Geotechnical Engineering and Analysis
  • Soybean genetics and cultivation

Chongqing University
2019-2025

Gansu Agricultural University
2019-2025

Inner Mongolia University
2020-2025

Xizang Minzu University
2022-2024

Chengdu University of Information Technology
2023-2024

University of Alberta
2018-2023

Yunnan University
2022

Guizhou University
2021

Tobacco Research Institute
2021

Chinese People's Liberation Army
2020

One of the most serious mining disasters in underground mines is rockburst phenomena. They can lead to injuries and even fatalities as well damage openings equipment. This has forced many researchers investigate alternative methods predict potential for occurrence. However, due highly complex relation between geological, mechanical geometric parameters environment, traditional mechanics-based prediction do not always yield precise results. With emergence machine learning methods, a...

10.1016/j.ijmst.2019.06.009 article EN cc-by-nc-nd International Journal of Mining Science and Technology 2019-06-24

Recognizing and distinguishing coal gangue are essential in engineering, such as coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize images help segregate gangue. A typical workflow for CNN image recognition is presented well strategy updating the model parameters. Based on powerful trained model, VGG16, idea of transfer learning was introduced build custom solve problems massive trainable parameters limited computing linked building brand-new from...

10.3390/en12091735 article EN cc-by Energies 2019-05-08

The fault is potentially vulnerability's geological structure in the working face and its vicinity, it also a crucial factor affecting coal mine safety exploitation. To investigate unstable failure of surrounding rock induced by activation under influence adoption, which was studied utilizing field case numerical analysis for deformation process near fault-affected zone. Combined with cases, this paper analyzes disturbance stress roof abscission layer monitoring effecting zones activation....

10.1016/j.rockmb.2023.100037 article EN cc-by-nc-nd Rock Mechanics Bulletin 2023-02-03

A rockburst is a common engineering geological hazard. In order to predict potential in kimberlite at an underground diamond mine, decision tree method was employed. Based on two fundamental premises of occurrence, σθ,σc,σt,WET are determined as indicators rockburst, which also partition attributes the tree. 132 training samples (with 24 incomplete samples) were obtained from real cases all over world build The based 108 complete built with accuracy 73% for 15 validation while another groups...

10.1016/j.jsm.2018.07.004 article EN cc-by-nc-nd Journal of Sustainable Mining 2018-01-01

Improving the soil structure and fertility of saline–alkali land is a major issue in establishing sustainable agro-ecosystem. To explore potential different straw returning improving saline–alkaline land, we utilized native (SCK), wheat straw-returned (SXM) rapeseed (SYC) as our research objects. Soil physicochemical properties, fungal community diversity soils were investigated treatments at 0–10 cm, 10–20 cm 20–30 depths. The results showed that SXM SYC reduced pH total salinity but...

10.3390/microorganisms12020277 article EN cc-by Microorganisms 2024-01-28

Winter rapeseed is not only an important oilseed crop, but also a winter cover crop in Northern China, where its production was severely limited by freezing stress. As overwinter the Therefore, understanding physiological and molecular mechanism of (Brassica napus L.) stress responses becomes essential for improvement development freezing-tolerant varieties Brassica napus. In this study, morphological, physiological, ultrastructure transcriptome changes line “2016TS(G)10” (freezing-tolerance...

10.3390/ijms20112771 article EN International Journal of Molecular Sciences 2019-06-05

Abstract Background The aerial parts of land plants are covered with cuticular waxes that limit non-stomatal water loss and gaseous exchange, protect from ultraviolet radiation pathogen attack. This is the first report on characterization genetic mapping a novel dominant glossy mutant ( BnaA.GL ) in Brassica napus . Results Transmission electron microscopy revealed cuticle ultrastructure GL leaf stem were altered dramatically compared wide type (WT). Scanning corroborated reduction wax...

10.1186/1471-2229-13-215 article EN cc-by BMC Plant Biology 2013-12-01

The current source localization is severely challenged by the geometric layout of sensor network. To eliminate influence network on accuracy, this paper proposes a novel optimization method networks for microseismic/acoustic emission (MS/AE) monitoring systems using fisher information and an improved encoding framework. Firstly, range difference equation MS/AE constructed system with known wave velocity. Secondly, function probability integral. Thirdly, domains, combined genetic...

10.1109/jsen.2024.3383864 article EN IEEE Sensors Journal 2024-05-27

<title>Abstract</title> Landslides pose severe risks to lives, property, and infrastructure, particularly in mountainous regions where monitoring is hindered by harsh environmental conditions complex terrains. This study proposes a scalable, low-cost landslide early warning system that integrates deep learning computer vision technologies. Using single optical camera, time-lapse images of slopes were captured processed through advanced alignment, masking, histogram equalization maintain...

10.21203/rs.3.rs-5744473/v1 preprint EN cc-by Research Square (Research Square) 2025-01-24

The layout of acoustic emission sensors plays a critical role in non-destructive structural testing. This study proposes grid-based optimization method focused on multi-source location results, contrast to traditional sensor methods that construct correlation matrix based and one source location. Based the seismic travel time theory, proposed establishes objective function minimum differences, which is solved through particle swarm (PSO). Furthermore, accuracy across various configurations,...

10.3390/pr13020496 article EN Processes 2025-02-10
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