Search Results - Tang, Ningkai

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  1. 1
    Solar Power Generation Forecasting With a LASSO-Based Approach

    Solar Power Generation Forecasting With a LASSO-Based Approach by Ningkai Tang, Shiwen Mao, Yu Wang, Nelms, R. M.

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  2. 2
    A hybrid RBF neural network based model for day-ahead prediction of photovoltaic plant power output

    A hybrid RBF neural network based model for day-ahead prediction of photovoltaic plant power output by Zhang, Qipei, Tang, Ningkai, Lu, Jixiang, Wang, Wei, Wu, Lin, Kuang, Wenteng

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  3. 3
    Power Control in Full Duplex Underlay Cognitive Radio Networks: A Control Theoretic Approach

    Power Control in Full Duplex Underlay Cognitive Radio Networks: A Control Theoretic Approach by Ningkai Tang, Shiwen Mao, Kompella, Sastry

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  4. 4
    794 - THE PROGNOSTIC COMPARISON OF TREATMENTS IN KNEE CARTILAGE DEFECT REPAIR: A SYSTEMATIC REVIEW AND BAYESIAN NETWORK META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS

    794 - THE PROGNOSTIC COMPARISON OF TREATMENTS IN KNEE CARTILAGE DEFECT REPAIR: A SYSTEMATIC REVIEW AND BAYESIAN NETWORK META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS by Wu, Haotian, Tang, Ningkai, Lin, Jianhao, Liu, Qiang

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  5. 5
    THE PROGNOSTIC COMPARISON OF TREATMENTS IN KNEE CARTILAGE DEFECT REPAIR: A SYSTEMATIC REVIEW AND BAYESIAN NETWORK META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS

    THE PROGNOSTIC COMPARISON OF TREATMENTS IN KNEE CARTILAGE DEFECT REPAIR: A SYSTEMATIC REVIEW AND BAYESIAN NETWORK META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS by Wu, Haotian, Tang, Ningkai, Lin, Jianhao, Liu, Qiang

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  6. 6
    On power control in full duplex underlay cognitive radio networks

    On power control in full duplex underlay cognitive radio networks by Tang, Ningkai, Mao, Shiwen, Kompella, Sastry

    Published in Ad hoc networks
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  7. 7
    Study on metabolic variation reveals metabolites important for flavor development and antioxidant property of Hainan Dayezhong black tea

    Study on metabolic variation reveals metabolites important for flavor development and antioxidant property of Hainan Dayezhong black tea by Hu, Yunfei, Wang, Jialin, Luo, Wenyuan, Tang, Jun, Tuo, Yanming, Liao, Ningkai, Zhuang, Dawen, Yang, Kehang, Lin, Jinke, Zhang, Yue, Wu, Liangyu

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