Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm by Zhichong Zhou, Guhao Zhao, Yiru Jiang, Yarong Wu, Jiale Yang, Lingzhong Meng

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Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior by Huahua CHEN, Zhe CHEN

“…Anomaly detection remains to be an essential and extensive research branch in data mining due to its widespread use in a wide range of applications.It helps researchers to obtain vital information and make better decisions about data by detecting abnormal data.Considering that sparse coding can get more powerful features and improve the performance of other tasks, an anomaly detection model based on sparse variational autoencoder was proposed.Firstly, the discrete mixed modelspike and slab distribution was used as the prior of variational autoencoder, simulated the sparsity of the space where the hidden variables were located, and obtained the sparse representation of data characteristics.Secondly, combined with the deep support vector network, the feature space was compressed, and the optimal hypersphere was found to discriminate normal data and abnormal data.And then, the abnormal fraction of the data was measured by the Euclidean distance from the data feature to the center of the hypersphere, and then the abnormal detection was carried out.Finally, the algorithm was evaluated on the benchmark datasets MNIST and Fashion-MNIST, and the experimental results show that the proposed algorithm achieves better effects than the state-of-the-art methods.…”
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Research on Audit Risk Prediction in Enterprise Management Based on Optimized BP Neural Network Algorithm by Wang Mingming

“…After understanding the current research status of enterprise management audit risk prediction, this paper mainly discusses the risk assessment model of audit material misstatement based on the optimized B neural network algorithm based on the BP neural network algorithm and the basic concepts of enterprise audit work, and conducts verification and analysis based on practical cases, and finally proves that the prediction results of the model are effective and scientific, which is worthy of application in enterprise management.…”
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Research on path planning for mine rescue UAV based on improved Artificial Jellyfish Search algorithm by ZHENG Xuezhao, DIAO Chengze, CAI Guobin, WEN Hu, YANG Bo, HOU Zongxuan, MOU Haowei

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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

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Research on Static/Dynamic Global Path Planning Based on Improved A∗ Algorithm for Mobile Robots by Huifang Bao, Jie Fang, Chaohai Wang, Zebin Li, Jinsi Zhang, Chuansheng Wang

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Correction: Research on building energy consumption prediction algorithm based on customized deep learning model by Zheng Liang, Junjie Chen

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Research on multi-stage optimization planning of power internet of things based on seagull optimization algorithm by Peng Ye, Guanxian Liu, Shuo Yang, Shaotao Guo, Huan Wang, Yi Zhao, Mingli Zhang

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Research on Improved Bridge Surface Disease Detection Algorithm Based on YOLOv7-Tiny-DBB by Haichao An, Ying Fan, Zhuobin Jiao, Meiqin Liu

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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

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Research on a stable clustering algorithm based on the optimal connectivity power for wireless sensor networks by LI Fang-min1, LIU Xin-hua1, KUANG Hai-lan1, FANG Yi-lin1

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Research on routing strategy of wireless sensor network in intelligent substation based on improved EEUC algorithm by LIU Yuming, CUI Chen, SUN Yanzhi, LI Xu, TIAN Feng

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Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

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Research on the prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis by FANG Xin, LIU Tong, CHENG Yaping, SUN Yuduo, WANG Feier

“…This algorithm consisted of two steps: data pre-processing and data-based prediction analysis. …”
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Research on Risk Identification System Based on Random Forest Algorithm-High-Order Moment Model by Li-Jun Liu, Wei-Kang Shen, Jia-Ming Zhu

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Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm by Liyang Ju, Xiaoyuan Wu, Yixi Zhao, Jianfeng Liu, Kun Liu

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Research on APF-Dijkstra Path Planning Fusion Algorithm Based on Steering Model and Volume Constraints by Xizheng Wang, Gang Li, Zijian Bian

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Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large by HE Wei-chan, YANG Zhi-jing, QIN Jing-hui

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Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation by Yujiao Li, Yingjie Mu

“…This indicates that the algorithm proposed by the research institute has high classification accuracy and performance proves that the Random Forest-based feature selection algorithm established in this study is superior to the existing traditional feature extraction and extraction methods in terms of both performance and accuracy. …”
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Adhesion control research for freight trains based on an improved sliding mode extremum seeking algorithm by CHENG Xiang, TANG Runzhong, HUANG Gang, HUANG Yishan

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