Publications by authors named "Xueying Liao"
Article Synopsis
- The advancement of Unmanned Aerial Vehicles (UAVs) has improved urban target detection, but challenges like subtle features and complex backgrounds still hinder accuracy.
- The introduction of the Polysemantic Cooperative Detection Transformer (Pc-DETR), featuring the innovative Polysemantic Transformer (PoT) Backbone, enhances detection by utilizing contextual information and a dynamic attention matrix.
- The new training scheme, Polysemantic Cooperative Mixed-Task Training, increases learning capacity through diverse label assignments, achieving a 3% accuracy improvement over existing models like MFEFNet and pushing the boundaries for UAV surveillance systems.
UV/chlor(am)ine are efficient for achieving multiple-barrier disinfection and maintaining residuals, while bromide (Br) has notable impacts on the formation and toxicity of halonitromethanes (HNMs) during UV/chlor(am)ine disinfection. This study investigated the effects of Br on HNMs formation and toxicity alteration during UV/chlor(am)ine disinfection of nitrate containing humic acid (HA) water. Results reveal that the maximum concentration of HNMs during UV/chlorine disinfection was 12.
View Article and Find Full Text PDFInvestigations were conducted to examine the effects of amine type and initial concentration, free chlorine concentration, UV light intensity, pH and tert-butyl alcohol (TBA) on the formation of dichloronitromethane (DCNM) under UV/chlorine. Methylamine (MA), dimethylamine (DMA) and poly-dimethyl diallyl ammonium chloride (PolyDADMAC) were selected as the amine precursors of DCNM. And the reaction products of amines were explored through observing the contents of various nitrogen under UV/chlorine.
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