Nanning, Guangxi
China
Guangxi University - Guangxi Key Laboratory of Power System Optimization and Energy Technology
MoTe2, Lung cancer VOCs, gas-sensitive material, DFT
Spatial distribution, Attention mechanism, Spatio-temporal correlation, Gas distribution map, Graph Convolutional Network
Electronic nose, Sensor drift, Meta learning, Learning to learn, Gini value-based approach
CO emission, NOx emission, Gas turbine, Savitzky-Golay filters, ProbSparse self-attention
Electronic Nose, Concentration estimation, Harmful gas analysis, Gated attention mechanism, Shortcut connection
Sulfur hexafluoride decomposition gas, Cobalt oxide modified SnSe, DFT, Gas adsorption, Sensor Characteristics
hazardous gases, g-C3N4, Gas adsorption, Gas-sensitive properties, Emission reduction
Electronic nose, Gas concentration prediction, Multilayer graph convolution, Sptial-temporal correlations, Long term-short term prediction
metal footprints, value chains, renewable-power sector, metal efficiency, trade imbalance
gas sensor materials, oil-immersed transformer, DFT, Pt-WS2, Cu-WS2
Electronic nose, Gas concentration prediction, SCINet, Mish, Multi-head attention
Cr2 dimer, g-CN, gas adsorption, gas-sensitive, green gas
Air discharge pollutants, Single-walled CNT, Geometric structure, Gas Adsorption, DFT
Greenhouse gases, DFT, HfSe2 monolayers, adsorption and sensing
Air quality forecasts, Long-term multivariate forecasting, Feature engineering, Diffusion Models, Variational Autoencoder
machine learning, gas-sensitive material, SF6, screening model, adsorption.
Electronic nose, CO concentration prediction, Gated recurrent unit, Dilated convolution
Machine Learning, Gas Adsorption, Density Functional Theory, interpretability, SHAP analysis, XGBoost
