A5100377450- Soil and Water Nutrient Dynamics
- Phosphorus and nutrient management
- Structural Load-Bearing Analysis
- Structural Behavior of Reinforced Concrete
- Fire effects on concrete materials
- Imbalanced Data Classification Techniques
- Drilling and Well Engineering
- Manufacturing Process and Optimization
- Metal Extraction and Bioleaching
- Machine Fault Diagnosis Techniques
- Geochemistry and Geologic Mapping
- Geochemistry and Elemental Analysis
- Tunneling and Rock Mechanics
- Extraction and Separation Processes
- Fish Ecology and Management Studies
- Bauxite Residue and Utilization
- Infrastructure Maintenance and Monitoring
- Advanced machining processes and optimization
- Electricity Theft Detection Techniques
- Image Enhancement Techniques
- Aquatic Invertebrate Ecology and Behavior
- Welding Techniques and Residual Stresses
- Asphalt Pavement Performance Evaluation
- Geological and Geochemical Analysis
- Research studies in Vietnam
Guizhou University
2023-2025
McGill University
2022-2024
Kunming University of Science and Technology
2024
Tsinghua University
2024
Ministry of Natural Resources
2016-2024
University of Shanghai for Science and Technology
2024
Chinese Academy of Geological Sciences
2014-2023
Southwest Jiaotong University
2022-2023
Lanzhou University of Technology
2023
Shandong University of Finance and Economics
2022
This paper examines the influence of perforations on buckling instability and load-bearing capacity advanced high-strength steel channel section (C-section) columns. Experimental tests were first conducted 19 column specimens made complex phrase HC700CP980 under axial compression, followed by finite element (FE) analysis. Two types, flat web C-section web-stiffened C-section, considered, with categorised as web-only or both flanges. Material initial imperfection measurements reported. Using...
Abstract The prediction of tool remaining useful life (RUL) is crucial for ensuring the quality and reliability components in high-end equipment. However, practical applications, wear data typically sparse exhibits irregular time-series patterns, which pose significant challenges to development accurate reliable predictive models RUL. To address these challenges, this paper presents a novel interpretable augmentation collaborative regression model (DL-SVRs). DL-SVRs deep framework with...
Abstract With limited phosphorus (P) supplies, increasing P demand, and issues with runoff pollution, developing an ability to reuse the large amounts of residual stored in agricultural soils is increasingly important. In this study, we investigated potential for soil maintain crop yields while reducing applications losses Canada. Using a cycling model coupled dynamics model, analyzed over 110 years across Canada's provinces. We found that using may reduce mineral demand as 132 Gg year −1...
Abstract Human activities have greatly changed global phosphorus (P) cycling, posing urgent challenges related to both supply uncertainty and aquatic eutrophication. However, the long‐term dynamics of P across Canada remain unquantified under‐explored. Using a material flow analysis model, we quantified temporal cycling in Canadian provinces from 1961 2018 characterized changes soil balances through study period. We found most agricultural regions had surpluses except Saskatchewan, where...
Abstract In the field of industrial production, machine failures not only negatively affect productivity and product quality, but also lead to safety accidents, so it is crucial accurately diagnose in time take appropriate measures. However, machines cannot operate with faults for extended periods, diversity fault modes results limited data collection, posing challenges building accurate prediction models. Despite recent advancements, intelligent diagnosis methods based on traditional...