A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms von Li, Min, Tian, Hangwei, Chen, Qinghui, Zhou, Mingle, Li, Gang

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Characterization of Ultrasonic Energy Diffusion in a Steel Alloy Sample with Tensile Force Using PZT Transducers von Lu, Guangtao, Wang, Tao, Zhou, Mingle, Li, Yourong

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Research on Key Influencing Factors of E-Government Cloud Service Satisfaction von Li, Gang, Zhou, Mingle, Feng, Zhengqian, Li, Min, Jiang, Hui

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TD-Net:tiny defect detection network for industrial products von Shao, Rui, Zhou, Mingle, Li, Min, Han, Delong, Li, Gang

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An End-to-End Formula Recognition Method Integrated Attention Mechanism von Zhou, Mingle, Cai, Ming, Li, Gang, Li, Min

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UTTSR: A Novel Non-Structured Text Table Recognition Model Powered by Deep Learning Technology von Li, Min, Zhang, Liping, Zhou, Mingle, Han, Delong

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CRSAtt: By Capturing Relational Span and Using Attention for Relation Classification von Shao, Cong, Li, Min, Li, Gang, Zhou, Mingle, Han, Delong

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MDFULog: Multi-Feature Deep Fusion of Unstable Log Anomaly Detection Model von Li, Min, Sun, Mengjie, Li, Gang, Han, Delong, Zhou, Mingle

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FA-RCNet: A Fused Feature Attention Network for Relationship Classification von Tian, Jiakai, Li, Gang, Zhou, Mingle, Li, Min, Han, Delong

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Rethinking interactive networks and regression loss functions for industrial defect detection von Su, Zhanzhi, Zhou, Mingle, Wan, Honglin, Li, Min, Zhang, Zekai, Han, Delong, Shao, Rui, Li, Gang

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AAL-Net: A Lightweight Detection Method for Road Surface Defects Based on Attention and Data Augmentation von Zhang, Cheng, Li, Gang, Zhang, Zekai, Shao, Rui, Li, Min, Han, Delong, Zhou, Mingle

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Research on performance Evaluation method to promote sustainable development of opening government affairs von Zhou, Mingle, Cao, Shengli, Wang, Ran, Wang, Yu

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CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection von Zhou, Mingle, Su, Zhanzhi, Li, Min, Wang, Yingjie, Li, Gang

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IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement von Li, Gang, Zhao, Shilong, Li, Min, Zhou, Mingle, Ying, Zuobin

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Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models von Han, Delong, Xu, Luo, Zhou, Mingle, Wan, Jin, Li, Min, Li, Gang

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IDD-Net: Industrial defect detection method based on Deep-Learning von Zhang, Zekai, Zhou, Mingle, Wan, Honglin, Li, Min, Li, Gang, Han, Delong

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YOLO-CEA: a real-time industrial defect detection method based on contextual enhancement and attention von Zhao, Shilong, Li, Gang, Zhou, Mingle, Li, Min

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MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection von Feng, Zhengqian, Wang, Wei, Li, Wang, Li, Gang, Li, Min, Zhou, Mingle

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ICA-Net: Industrial defect detection network based on convolutional attention guidance and aggregation of multiscale features von Zhao, ShiLong, Li, Gang, Zhou, MingLe, Li, Min

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Can open government data policy improve firm performance? Evidence from listed firms in China von Zhou, Mingle, Wang, Yu, Huang, Xiaohui, Li, Gang

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