A Holt Trend-Enabled Attention-ConV-GRU Method for Long-Term Degradation Prediction of Fuel Cells von Xie, Teng, Wang, Chu, Wang, Peng, Wang, Xueren, Di, Ruohai

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Research on Polyurethane Creep Prediction Model Based on BWO-BP von Di, Ruohai, Song, Nan, Lv, Zhigang, Li, Jianheng, Gao, Hui, Xu, Yuntao

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MSRR-T2I: Multi-Scale Reverse Residual for Text-to-Image von Wu, Haowen, Wang, Peng, Li, Xiaoyan, Sun, Bo, Sun, Mengyu, Li, Liangliang, Di, Ruohai

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SFFN: Serial Feature Fusion Network for Visual Tracking von Kou, Qi, Wang, Peng, Sun, Mengyu, Li, Xiaoyan, Di, Ruohai, Lv, Zhigang

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SPCF-YOLO: Dense Small Target Detection Algorithm for Autonomous Driving von Zhao, Yan, Zhao, Xiangmo, Wang, Peng, Li, Liangliang, Sun, Bo, Di, Ruohai

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Study of load cell calibration based on adaptive kalman filter algorithm von Liu, Kai, He, Chuchao, Zhao, Xiangmo, Di, Ruohai, Li, Xiaoyan, Sun, Mengyu

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Lightweight Object Detection Based on Autonomous Driving von Hua, Song, Wang, Peng, Li, Xiaoyan, Sun, Bo, Sun, Mengyu, Di, Ruohai, Lv, Zhigang

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Remaining useful life prediction of lithium-ion batteries based on KS agglomeration function integrating multi-expert knowledge von Zhigang, Lv, Meng, Zhou, Ruohai, Di, Peng, Wang, Hui, Gao, Hongxi, Wang

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A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets von Wan, Kaifang, Guo, Zhigao, Gao, Xiaoguang, Di, Ruohai

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Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters von Di, Ruohai, Wang, Peng, He, Chuchao, Guo, Zhigao

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Research on Dynamic Programming Strategy of Bayesian Network Structure Learning von Di, Ruohai, Li, Ye, Li, Tingpeng, Wang, Peng, He, Chuchao

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A Novel Qualitative Maximum a Posteriori Estimation for Bayesian Network Parameters Based on Computing the Center Point of Constrained Parameter Regions von Di, Ruohai, Wang, Peng, Wu, Jiao, Guo, Zhigao

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Bayesian Network Structure Learning Using Improved A with Constraints from Potential Optimal Parent Sets von He, Chuchao, Di, Ruohai, Tan, Xiangyuan

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Small Target Detection Algorithm Based on Transfer Learning and Deep Separable Network von Wang, Peng, Wang, Haiyan, Li, Xiaoyan, Zhang, Lingling, Di, Ruohai, Lv, Zhigang

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Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition von Lv, Zhigang, Chen, Yiwei, Di, Ruohai, Wang, Hongxi, Sun, Xiaojing, He, Chuchao, Li, Xiaoyan

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Bayesian network parameter learning algorithm based on improved QMAP von Di, Ruohai, Li, Ye, Wan, Kaifang, Lyu, Zhigang, Wang, Peng

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Improved Parameter Uniform Priors in Bayesian Network Structure Learning von Wang, Manxi, Wang, Liandong, Wang, Zidong, Gao, Xiaoguang, Di, Ruohai

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Learning Bayesian network parameters under new monotonic constraints von Ruohai Di, Xiaoguang Gao, Zhigao Guo

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GRM: Gaussian response module for visual tracking von Sun, Mengyu, Wang, Peng, Xu, Junqi, Li, Xiaoyan, Di, Ruohai

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A novel virtual sample generation method to improve the quality of data and the accuracy of data-driven models von Chen, Zhiwen, Lv, Zhigang, Di, Ruohai, Wang, Peng, Li, Xiaoyan, Sun, Xiaojing, Xu, Yuntao

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