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  1. 121

    Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm by Wenjing Zhang, Hongjing Yan, Lili Xiang, Linling Shao

    Published 2025-03-01
    “…To raise the accuracy of wind power generation prediction, a bidirectional long short-term memory network combination model based on sparrow search algorithm and firefly algorithm optimization is designed. …”
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    A congestion prediction method based on trajectory mining algorithm by Liu Dongjiang, Li Leixiao, Li Jie

    Published 2025-01-01
    “…So many traffic congestion prediction methods have been proposed. Almost all these methods are based on traffic flow prediction algorithm. …”
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    Research on Pressurizer Pressure Control Based on Adaptive Prediction Algorithm by Hong Qian, Yuan Yuan, Yu Wang, Gaofeng Jiang, Ting Yang

    Published 2019-01-01
    “…To tackle the problem, an adaptive predictive control method for pressurizer pressure is devised in this paper. …”
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  10. 130

    Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

    Published 2024-06-01
    “…In general, the criteria of accuracy, precision, sensitivity, and specificity in predicting the change of auditor using the Water Cycle Algorithm were 89%, 75%, 2%, and 99.9%, respectively. …”
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    Article
  11. 131

    A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment by Zilong Jin, Yoonjeong Han, Jinsung Cho, Ben Lee

    Published 2015-03-01
    “…Therefore, this paper presents a learning-based algorithm to efficiently predict the coexistence condition in a multiple-WBAN environment. …”
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    Article
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    ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

    Published 2018-01-01
    “…It is necessary to study more effective control algorithm in ATO system. As the train operation process is a complex nonlinear system, and fuzzy predictive control algorithm has good control effect and strong robustness, the model accuracy requirement is not high, it can overcome the influence of various uncertainty and complex changes. …”
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  14. 134

    Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

    Published 2015-06-01
    “…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
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    Fast intra prediction algorithm applied in QS enhancement layer by WANG Da-yong1 SHU Jian2

    Published 2011-01-01
    “…A fast intra coding algorithm was proposed which was suitable for enhancement layer in quality salability.Base on the coding structure of quality scalability,our algorithm used the relationships between layers,the relationships between rate distortion and modes,and temporal and spatial relationships to predict the modes and coding order to be ap-plied,with an early termination determined by the relationships between quantization parameters and modes,residual co-efficients,and rate distortion.The experimental results show that the encoding speed of the proposed algorithm can be improved by 70%,with negligible coding loss.…”
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  18. 138

    Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

    Published 2015-06-01
    “…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
    Get full text
    Article
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