Search Results - "Bi, Zhongqin"

Unsupervised Hyperspectral Band Selection by Dominant Set Extraction by Zhu, Guokang, Huang, Yuancheng, Lei, Jingsheng, Bi, Zhongqin, Xu, Feifei

“…Unsupervised hyperspectral band selection has been an important topic in hyperspectral imagery. This technique aims at selecting some critical and decisive…”
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Fault Location in Active Distribution Network Under Hybrid Classical Quantum Computing Architecture by Xie, Yuzhe, Yang, Xiaoting, Zhu, Qinran, Bi, Zhongqin

“…At present, research on the combination of quantum computing and artificial intelligence algorithms applied to the fault location of distribution networks is…”
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YOLOX++ for Transmission Line Abnormal Target Detection by Bi, Zhongqin, Jing, Lina, Sun, Chao, Shan, Meijing

“…The detection of abnormal targets in transmission lines plays a significant role in maintaining the stability and safety of transmission systems. To achieve…”
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Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers by Bi, Zhongqin, Zhang, Tianchen, Zhou, Ping, Li, Yongbin

“…Knowledge base completion (KBC) aims to predict missing information in a knowledge base. Most existing embedding-based KBC models assume that all test entities…”
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Improving the Uplink Performance of Drive-Thru Internet via Platoon-Based Cooperative Retransmission by Jia, Dongyao, Zhang, Rui, Lu, Kejie, Wang, Jianping, Bi, Zhongqin, Lei, Jingsheng

“…For many vehicular safety applications, it is critical to timely and reliably deliver multimedia data from a traveling vehicle to a roadside access point (AP)…”
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SSE : A Secure Searchable Encryption Scheme for Urban Sensing and Querying by Wen, Mi, Bi, Zhongqin, Lei, Jingsheng

“…With the distributed sensors that are deployed to monitor the urban environment in smart cities, the sensed data are overwhelming and beyond the scope of the…”
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Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios by Bi, Zhongqin, Yu, Ling, Gao, Honghao, Zhou, Ping, Yao, Hongyang

“…The rapid development and application of AI in intelligent transportation systems has widely impacted daily life. The application of an intelligent visual aid…”
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Transmission line abnormal target detection algorithm based on improved YOLOX by Bi, Zhongqin, Jing, Lina, Sun, Chao, Shan, Meijing, Zhong, Wei

“…The detection of anomalous targets in transmission lines is an important research topic for industrial applications and power grid construction. However, due…”
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Variational bayesian clustering algorithm for unsupervised anomalous sound detection incorporating VH-BCL by Bi, Zhongqin, Li, Huanfeng, Zhang, Weina, Dong, Zhen

“…In industrial environments, acoustic detection of equipment can often significantly change the acoustic characteristics between training and testing data due…”
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Quantum annealing algorithm for fault section location in distribution networks by Bi, Zhongqin, Yang, Xiaoting, Wang, Baonan, Zhang, Weina, Dong, Zhen, Zhang, Dan

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Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism by Bi, Zhongqin, Sun, Susu, Zhang, Weina, Shan, Meijing

“…Purpose Predicting a user’s click-through rate on an advertisement or item often uses deep learning methods to mine hidden information in data features, which…”
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IFGAN: Information fusion generative adversarial network for knowledge base completion by Zhang, Tianchen, Bi, Zhongqin, Shan, Meijing, Li, Yongbin

“…Knowledge base completion (KBC) aims to predict missing information in a knowledge base. From a data governance perspective, KBC is an important task not only…”
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Advances and Future Challenges in Electric Power Big Data by Yang Yindong, Bi Zhongqin

“…Through storage, consolidation, calculation, application core technologies of Big Data, application in electric power industry could drive upgrading and…”
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Steganalysis Over Large-Scale Social Networks With High-Order Joint Features and Clustering Ensembles by Li, Fengyong, Wu, Kui, Lei, Jingsheng, Wen, Mi, Bi, Zhongqin, Gu, Chunhua

“…This paper tackles a recent challenge in identifying culprit actors, who try to hide confidential payload with steganography, among many innocent actors in…”
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Mechanical algorithm for proving a geometric theorem by Zhongqin Bi

“…We present a mechanical algorithm for proving a geometric theorem involving inequality. The main idea is to convert the geometric theorem into a polynomial…”
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A new VRSA‐based pairing‐free certificateless signature scheme for fog computing by Wang, Liangliang, Wen, Mi, Chen, Kefei, Bi, Zhongqin, Long, Yu

“…Summary Fog computing is composed of various computers with weak performance instead of servers with strong performance. As history has shown, there has not…”
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From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data by Tang, Guoming, Wu, Kui, Lei, Jingsheng, Bi, Zhongqin, Tang, Jiuyang

“…In power systems, load curve data is one of the most important datasets that are collected and retained by utilities. The quality of load curve data, however,…”
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Research on wireless robot path planning under edge computing considering multistep searching and inflection points by Bi, Zhongqin, Ma, Yuanyuan, Yang, Xiaoxian, Zhou, Ping

“…The wireless robot path planning is a hot research topic in the fields of automatic control and wireless communication. With the help of the edge computing…”
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Cost minimization attribute reduction based on mutual information by Feifei Xu, Zhongqin Bi, Jingsheng Lei

“…The classical rough set attribute reduction is mainly based on maintaining three unvarying regions: positive region, boundary region, and negative region. In…”
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Attribute reduction in decision-theoretic rough set model based on minimum decision cost by Bi, Zhongqin, Xu, Feifei, Lei, Jingsheng, Jiang, Teng

“…Summary Attribute reduction is one of the most important topics in rough set theory. In the classical rough sets, the method for attribute reduction is mainly…”
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