Showing 2,161 - 2,180 results of 3,615 for search 'complex detection (coefficient OR (efficient OR efficiency))', query time: 0.21s Refine Results
  1. 2161

    Research on Design of Intelligent Background Differential Model for Training Target Monitoring by Ya Liu, Fusheng Jiang, Yuhui Wang, Lu OuYang, Bo Gao, Jinling Jiang, Bo Zhang

    Published 2021-01-01
    “…At the same time, compared with traditional methods, it also has a higher detection efficiency.…”
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  2. 2162

    Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

    Published 2021-01-01
    “…The average error of the prediction results is 1.45%, which suggests that the proposed method can achieve accurate detection and quantitative characterization of the porosity of TBCs with complex pore morphology.…”
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    Convolutional Neural Network and Channel Attention Mechanism for Multiclass Brain Tumor Classification by Ali Naderi, Akbar Asgharzadeh-Bonab, Farid Ahmadi, Hashem Kalbkhani

    Published 2025-01-01
    “…The proposed model comprises three key components: (1) a fine-tuned EfficientNetB7 convolutional neural network (CNN), adapted through transfer learning by freezing the initial layers and retraining subsequent layers to optimize feature extraction from MR images; (2) a channel attention module that refines extracted feature maps, emphasizing essential features for accurate tumor detection; and (3) a fully connected classifier, optimized through grid search, to achieve precise multiclass tumor classification. …”
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    A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

    Published 2020-01-01
    “…In order to reduce the complexity of underwater acoustic signal sequence and improve operation efficiency, the original signal is decomposed by VMD into intrinsic mode components (IMFs) according to the characteristics of the signal, and dispersion entropy (DE) is used to analyze the complexity of IMF. …”
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    GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification by Xin Bi, Zhixun Liu, Yao He, Xiangguo Zhao, Yongjiao Sun, Hao Liu

    Published 2020-01-01
    “…We propose an aggregator based on extreme learning machine (ELM) that boosts the aggregation ability and efficiency of graph convolution without iterative tuning. …”
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    Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach by Hongzeng He, Shufen Dai

    Published 2021-01-01
    “…In this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. …”
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  13. 2173

    Coordinate Control of Power/Current for Grid-Connected Inverter Based on PCI Controller under Unbalanced Grid Conditions by Chencong Zhao, Jun Liu, Zhouhua Xie, Feihang Zhou

    Published 2019-01-01
    “…The proposed control is achieved by adjusting the weight coefficient of current reference values to change the current harmonic contents based on proportional complex integral (PCI) controller and proportional multiple complex integral (PMCI) controller. …”
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    Sign Prediction on Social Networks Based Nodal Features by Xiaoyu Zhu, Yinghong Ma

    Published 2020-01-01
    “…The experiments on real big social data proved the feasibility and efficiency of the SPR model: Comparing with some popular predication methods, the SPR model in this issue shows lower complexity and higher accuracy. …”
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    A Novel Synchronization-Based Approach for Functional Connectivity Analysis by Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella

    Published 2017-01-01
    “…The synchronization metric is also compared with Pearson’s correlation coefficient and the detected communities seem to better reflect the functional brain organization during the specific task.…”
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