Area of research
Pollution · Organic Chemistry
Research interest
Research interests include Computer science, Series (stratigraphy), Time series, Machine learning, Scale (ratio), and Mixing (physics).
Metagenomic insights towards understanding the role of riboflavin-loaded granular activated carbon and Methanosarcina barkeri co-addition in enhancing anaerobic digestion
MTSMNet: a multi-scale trend-seasonal mixing network for long-term time series forecasting
CMMamba: channel mixing Mamba for time series forecasting
LinWA:Linear Weights Attention for Time Series Forecasting
MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting
Treatment of antibiotic fermentation‐based pharmaceutical wastewater using anaerobic and aerobic moving bed biofilm reactors combined with ozone/hydrogen peroxide process