Y. Zhang

ORCID: 0009-0005-2611-9215
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About
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Research Areas
  • Carbon Nanotubes in Composites
  • Paleontology and Stratigraphy of Fossils
  • Marine Biology and Ecology Research
  • Advanced Neural Network Applications
  • Force Microscopy Techniques and Applications
  • Radioactive element chemistry and processing
  • Consumer Market Behavior and Pricing
  • Video Surveillance and Tracking Methods
  • Metaheuristic Optimization Algorithms Research
  • Conducting polymers and applications
  • Geology and Paleoclimatology Research
  • Advanced NMR Techniques and Applications
  • Electron Spin Resonance Studies
  • Coal and Its By-products
  • Robotics and Sensor-Based Localization
  • Energy Load and Power Forecasting
  • Geochemistry and Elemental Analysis
  • Coal Properties and Utilization

China University of Geosciences
2010-2024

Abstract Analysis of Permian–Triassic brachiopod diversity and body size changes from different water depths spanning the continental shelf to basinal facies in South China provides insights into process environmental deterioration. Comparison temporal between deepwater shallow‐water demonstrates that brachiopods disappeared earlier than brachiopods. This indicates high stress commenced first settings later extended shallow waters. is attributed major volcanic eruptions, which led formation...

10.1111/gbi.12119 article EN Geobiology 2014-11-21

This study examines the morphological responses of Late Permian brachiopods to environmental changes. Quantitative analysis body size data from Permian-Triassic has demonstrated significant, directional changes in before, during and after mass extinction event. Brachiopod significantly reduced before interval, increased for a short time more extinction-resistant taxa latter stages then dramatically again across Permian/Triassic boundary. Relative abundances trace elements acritarchs...

10.1111/j.1472-4669.2010.00248.x article EN Geobiology 2010-09-03

Recent studies have demonstrated that the attention mechanism can effectively enhance effectiveness of deep convolutional neural networks. In this paper, we propose a "Pyramid channel and spatial attention" (PCSA), which consists reconstructing features after pyramidal multiscale convolution by extracting weights weights. This dual weight extraction process helps to merge information more accurately enhances model's focus on complex locations image objects. As plug-and-play module, PCSA be...

10.1109/access.2024.3368801 article EN cc-by-nc-nd IEEE Access 2024-01-01

Na 2 CO 3 /NaHCO mixtures with different oxidants were used to leach uranium in the lignite which was obtained from Lincang, Yunnan province. The experimental results showed that optimal solid/liquid ratio and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">C</mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn...

10.1155/2017/7130971 article EN cc-by Geofluids 2017-01-01

With the popularity of mobile devices in recent years, understanding and predicting prices is crucial for manufacturers. Mobile price can be influenced by different hardware factors, making accurate prediction complex challenging. In this paper, a novel classification model combining Dung beetle optimizer (DBO) XGBoost proposed to accurately classify price. PCA dimensionality reduction phase, we design feature filtering strategy with consideration importance. Through DBO, optimal parameters...

10.1109/bdai59165.2023.10256847 article EN 2023-07-07
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