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Past Projects

AI-Driven Subway Air Quality Prediction

We developed sophisticated AI prediction models using Dynamic Slow Feature Analysis (DSFA), LSTM networks, and Convolutional Block Attention Modules (CBAM) to effectively forecast indoor PM2.5 levels in subway environments.

Deep Optimized Broad Learning Systems

Electricity generation from waste biomass using microbial fuel cell technology

AI-Aided High-Frequency Surface Wave Radar Image Analysis

Design of a retrofit MFC for winery wastewater treatment

Investigation of bio-mineral fertilizer for agricultural pollutant remediation

Biological treatment of oil sands production wastewater

Design of an intelligent fault detection system for papermaking wastewater treatment process

Design and investigation of a novel paper-based nanosized TiO2 gas sensor

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