Ligang Sun

ORCID: 0009-0005-1722-1621
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About
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Research Areas
  • Rough Sets and Fuzzy Logic
  • Metallurgical Processes and Thermodynamics
  • Neural Networks and Applications
  • Advanced Computational Techniques and Applications
  • Groundwater and Isotope Geochemistry
  • Geology and Paleoclimatology Research
  • Isotope Analysis in Ecology

Baogang Group (China)
2023

Anhui University of Science and Technology
2021

The prediction of oxygen consumption during the steel smelting process is crucial for enhancing production efficiency and optimizing resource utilization. This study aims to propose a novel combination data processing model construction predicting in steelmaking. Firstly, we collected related employed effective preprocessing techniques. Utilizing Permutation Importance feature selection, established dataset comprising features such as temperature, molten iron scrap metal mass, various...

10.1145/3653081.3653227 article EN 2023-11-24

Converter steelmaking process usually involves many complex processes and technical specifications, the knowledge in field of iron steel smelting exists form documents databases, which lacks integration sharing. In order to assist real-time decision-making converter steelmaking, this paper investigates graph-based expert system for steelmaking. design graph, a top-down construction method is adopted, ontology level constructed first, then entities relations are extracted. Where each entity...

10.1145/3653081.3653226 article EN 2023-11-24

It is of great significance to study the influence evaporation on protection and management regional water resources. In this study, samples have been collected from a typical enclosed body, Liuxi, small brook in campus Suzhou University May June, then analyzed for their hydrogen oxygen stable isotopes. The results indicate that June higher d18O dD values relative May, both them plotted at right meteoric line, combination with lower deuterium excess (d-excess) implying has influenced by...

10.46488/nept.2021.v20i03.032 article EN cc-by Nature Environment and Pollution Technology 2021-09-01
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