To address the low detection accuracy and frequent missed detections of citrus diseases caused by leaf occlusion, small lesion sizes, and high visual similarity among disease categories in complex orchard environments, this study proposes LCWG-DETR, a citrus disease detection method that combines wavelet edge features...
Da-Lin Zhang, Bai-Jing Wu, Ke Gao et al.· Frontiers in Plant Science· 0 citations
Drowsy driving EEG recognition faces challenges such as signal non-stationarity, imbalanced class distribution, and insufficient utilization of spatio-temporal features. To improve fatigue state recognition performance, this paper proposes an EEG-based drowsy driving recognition method that integrates multi-scale tempo...
Yongjing Yan, Guang-Hui Yan, Jun Zhang· 2026 8th International Confe...· 0 citations
Experimental results on the public PEMS04 and PEMS08 datasets demonstrate that the proposed ESDG-ALSTM model significantly improves forecasting accuracy, confirming that ESDG-ALSTM is more sensitive to abrupt events and multimodal evolution patterns and can effectively enhance prediction performance in complex traffic...
Guozheng Li, Bai-Jing Wu, Ke Gao et al.· Frontiers of Computer Scienc...· 0 citations
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