Luo Liang

ORCID: 0009-0005-0046-9137
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About
Contact & Profiles
Research Areas
  • Minerals Flotation and Separation Techniques
  • Membrane Separation Technologies
  • Mineral Processing and Grinding
  • Water Treatment and Disinfection
  • Inertial Sensor and Navigation
  • Statistics Education and Methodologies
  • Insect Pheromone Research and Control
  • 3D Surveying and Cultural Heritage
  • Reading and Literacy Development
  • Geochemistry and Geologic Mapping
  • Power Systems and Technologies
  • Advanced Statistical Process Monitoring
  • Forecasting Techniques and Applications
  • Decision-Making and Behavioral Economics
  • Quality and Safety in Healthcare
  • Cognitive and developmental aspects of mathematical skills
  • Fault Detection and Control Systems
  • Thermodynamic and Structural Properties of Metals and Alloys
  • Advanced Statistical Methods and Models
  • Nuclear reactor physics and engineering
  • Membrane-based Ion Separation Techniques
  • Robotics and Sensor-Based Localization
  • Mobile Agent-Based Network Management
  • Child and Animal Learning Development
  • Arsenic contamination and mitigation

Wuhan University
2025

Hunan University of Technology
2023-2024

Chongqing University of Technology
2021

Zhejiang Institute of Communications
2008

The concept of critical flux, introduced by R.W. Field, defines the flux below which filtration resistance remains constant over time. Notably, this concept, originally for cross-flow filtration, faces challenges in dead-end (the dominant mode used drinking water ultrafiltration (UF)). Herein, leveraged regulated membrane biofilms, we proposed a novel biofilm-induced specific to filtration. Below biofilm could act like maintain mass balances biodegradation foulants, thereby preventing...

10.1021/acs.est.4c11760 article EN Environmental Science & Technology 2025-03-03

At present, in the mineral flotation process, data are easily influenced by various factors, resulting non-stationary time series data, which lead to overfitting of prediction models, ultimately severely affecting accuracy grade prediction. Thus, this study proposes a de-stationary attention mechanism based on transformer model (DST) learn information raw sequences. First, normalization processing is performed matched and values, make sequences stationary, thereby enhancing capabilities....

10.3390/min14030230 article EN Minerals 2024-02-25

Accurate and timely foam grade prediction plays an important role in the flotation industry process. However, information between characteristic series at different sampling times often does not match, making result lagging behind. A multistep fusion transformer (MSFT) model is designed this article. First, we extract multiple froth time as input to correlate feature under series, then, a self-attention structure fuse scales, which enhances degree of correlation finally, matrix passed...

10.1109/tii.2023.3342458 article EN IEEE Transactions on Industrial Informatics 2023-12-29

Abstract Aiming at the problem that matching rate of traditional star map recognition methods is not high enough, this paper proposes a method based on ICP point cloud algorithm feature extraction. Feature points are selected through change local normal vector cloud, and then used Common (ICP) to realize more accurate registration clouds. In order further reduce error matching, an improved accurately register cloud. Finally, conditions several maps obtained MATLAB tool simulation calculated....

10.1088/1742-6596/1754/1/012184 article EN Journal of Physics Conference Series 2021-02-01
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