426 results on '"Chen, Qiusong"'
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2. The Bragg Diffraction Experiment Based on Ultrasonic Wave and Artificial Crystal Lattice
3. Tree-based machine learning models for enhanced large-scale soil Mn classification by integrating visible-near infrared spectroscopy
4. Using cemented paste backfill to tackle the phosphogypsum stockpile in China: A down-to-earth technology with new vitalities in pollutant retention and CO2 abatement
5. In-depth study on influence of material ratio on performance of gangue filler through experiment and machine learning
6. A systematic evaluation of advanced machine learning models for nickel contamination management in soil using spectral data
7. Enhanced immobilization of fluoride in phosphogypsum-based cement-free paste backfill modified by polyaluminum chloride and its mechanism
8. Enhancing CO2 mitigation potential and mechanical properties of shotcrete in underground mining utilizing microbially induced calcium carbonate precipitation
9. Alkaline-washed phosphogypsum-based cemented paste backfill prepared using steel slag and blast furnace slag: Mechanical properties, fluoride immobilization, and hydration mechanism
10. An intelligent approach using micro-seismic monitoring signal clustering and an optimized K-means model to guide the selection of support patterns in underground mines
11. Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem
12. Alkali activation of blast furnace slag using Bayer red mud as an alternative activator to prepare cemented paste backfill
13. Leveraging visible-near-infrared spectroscopy and machine learning to detect nickel contamination in soil: Addressing class imbalances for environmental management
14. Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning
15. Hydration process and fluoride solidification mechanism of multi-source solid waste-based phosphogypsum cemented paste backfill under CaO modification
16. Comparative analysis of machine learning algorithms for identifying cobalt contamination in soil using spectroscopy
17. Enhanced solidification/stabilization (S/S) of fluoride in smelting solid waste-based phosphogypsum cemented paste backfill utilizing biochar: Mechanisms and performance assessment
18. Improved classification of soil As contamination at continental scale: Resolving class imbalances using machine learning approach
19. Challenges and future perspectives of machine learning in industrial solid ashes management
20. FIELD: fast mobility evaluation and environmental index for solid ashes with machine learning
21. Identifying the amorphous content in solid ashes: a machine learning approach using an international dataset
22. The reactivity classification of coal fly ash based on the random forest method
23. The application of clustering algorithms for industrial solid ashes based on physicochemical properties
24. Background of machine learning
25. Legal framework for ashes
26. Ash management, recycling, and sustainability
27. The accurate production forecast of solid ashes: application and comparison of machine learning techniques
28. Emerging innovative techniques for ash management
29. Machine learning modeling methodology for industrial solid ash
30. Forecasting the uniaxial compressive strength of solid ash-based concrete
31. Identifying mining-induced chromium contamination in soil through visible-near infrared spectroscopy and machine learning
32. Analytical Model for Gaussian Disorder Traps in Organic Thin-Film Transistor
33. Mechanical and microstructural analysis of cemented tailings backfill by copper slag through alkaline activation emphasizing red mud
34. Mechanical properties of eco-cement mortar containing MgO-modified phosphorous slag
35. Artificial intelligence-based prediction model for the elemental occurrence form of tailings and mine wastes
36. Guidance and review: Advancing mining technology for enhanced production and supply of strategic minerals in China
37. Erosion wear at the bend of pipe during tailings slurry transportation: Numerical study considering inlet velocity, particle size and bend angle
38. Effect of enhanced pozzolanic activity in nickel slag modified with Al2O3 on mechanical properties of cemented fine tailings backfill
39. Fluorides immobilization through calcium aluminate cement-based backfill: Accessing the detailed leaching characterization under torrential rainfall
40. Editorial for special issue on frontiers and advances in cemented paste backfill
41. Mechanistic insights into Pb and sulfates retention in ordinary Portland cement and aluminous cement: Assessing the contributions from binders and solid waste
42. Investigation of flocculation behavior of tailings during settling-concentration: influence of true density, particle size, and mud layer height
43. Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset
44. Effect of ice addition on the properties and microstructure of cemented paste backfill at early-age
45. The sponge effect of phosphogypsum-based cemented paste backfill in the atmospheric carbon capture: Roles of fluorides, phosphates, and alkalinity
46. Evaluating the metal recovery potential of coal fly ash based on sequential extraction and machine learning
47. In-situ remediation of phosphogypsum in a cement-free pathway: Utilization of ground granulated blast furnace slag and NaOH pretreatment
48. List of contributors
49. Solid ashes investigation for its efficient recycling: chemical properties and clustering analysis
50. The carbon uptake and mechanical property of cemented paste backfill carbonation curing for low concentration of CO2
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