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Qingjian Ni

Showing results (1-10 of 6) with videos related to

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Thescientificworldjournal|July 3, 2013
A new logistic dynamic particle swarm optimization algorithm based on random topologyQingjian Ni, Jianming Deng
Entropy (Basel, Switzerland)|July 29, 2023
A Novel Trajectory Feature-Boosting Network for Trajectory PredictionQingjian Ni, Wenqiang Peng, Yuntian Zhu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 10, 2017
A Novel Cluster Head Selection Algorithm Based on Fuzzy Clustering and Particle Swarm OptimizationQingjian Ni, Qianqian Pan, Huimin Du, et al.
Environmental Science and Pollution Research International|September 12, 2022
An improved graph convolutional network with feature and temporal attention for multivariate water quality predictionQingjian Ni, Xuehan Cao, Chaoqun Tan, et al.
Environmental Science and Pollution Research International|February 2, 2024
An unsupervised water quality anomaly detection method based on a combination of time-frequency analysis and clusteringQingjian Ni, Xuehan Cao, Ziqi Zhao, et al.
Sensors (Basel, Switzerland)|April 25, 2020
Using the Decomposition-Based Multi-Objective Evolutionary Algorithm with Adaptive Neighborhood Sizes and Dynamic Constraint Strategies to Retrieve Atmospheric DuctsYanbo Mai, Hanqing Shi, Qixiang Liao, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Thescientificworldjournal|July 3, 2013
A new logistic dynamic particle swarm optimization algorithm based on random topologyQingjian Ni, Jianming Deng
Entropy (Basel, Switzerland)|July 29, 2023
A Novel Trajectory Feature-Boosting Network for Trajectory PredictionQingjian Ni, Wenqiang Peng, Yuntian Zhu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 10, 2017
A Novel Cluster Head Selection Algorithm Based on Fuzzy Clustering and Particle Swarm OptimizationQingjian Ni, Qianqian Pan, Huimin Du, et al.
Environmental Science and Pollution Research International|September 12, 2022
An improved graph convolutional network with feature and temporal attention for multivariate water quality predictionQingjian Ni, Xuehan Cao, Chaoqun Tan, et al.
Environmental Science and Pollution Research International|February 2, 2024
An unsupervised water quality anomaly detection method based on a combination of time-frequency analysis and clusteringQingjian Ni, Xuehan Cao, Ziqi Zhao, et al.
Sensors (Basel, Switzerland)|April 25, 2020
Using the Decomposition-Based Multi-Objective Evolutionary Algorithm with Adaptive Neighborhood Sizes and Dynamic Constraint Strategies to Retrieve Atmospheric DuctsYanbo Mai, Hanqing Shi, Qixiang Liao, et al.
Pageof 1