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  1. 661

    Applicability Evaluation of TRMM Satellite Precipitation Data in Jiangsu Province by XU Shanshan

    Published 2023-01-01
    “…According to the measured data of 167 rainfall stations in Jiangsu Province from 2000 to 2013,the feasibility of the application of TRMM satellite precipitation data (TRMM 3B42 daily precipitation products and TRMM 3B43 monthly precipitation products) in Jiangsu Province is tested and discussed at multiple scales.On the multi-year average scale,the spatial distribution of TRMM precipitation data and measured precipitation data are decreasing from south to north,but the precipitation value of TRMM is higher than the measured one.On the daily scale,the coincidence degree between TRMM 3B42 precipitation data and measured precipitation data is tested by precipitation frequency,missing and empty retrieval rates,and precipitation classification.The missing and empty retrieval rates of Lianyungang and Suqian are lower,thus,in the two places,TRMM inversion data are more accurate to distinguish whether there is precipitation in the actual situation.The relative error of TRMM 3B42 data for measuring light rain is relatively large,while it is small for medium rain,heavy rain,and rainstorm.On the monthly scale,it can be seen that the consistency between TRMM 3B43 data and ground data is overall high by examining the correlation coefficient and the absolute error.The correlation coefficient is the highest in Xuzhou and the north of Lianyungang but slightly lower in the south of Jiangsu and surrounding areas of Hongze Lake.On the annual scale,the variation coefficients between the measured precipitation data and the TRMM precipitation data are compared,and they show the same law that the fluctuation of precipitation is small in the south of Jiangsu but large in the north.…”
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  2. 662

    Application of Low Crest Factor Modulation in Radio Communication Systems by V. V. Evstratko, V. V. Sukhotin, T. A. Zubov, A. V. Mishurov, A. I. Konovalenko

    Published 2025-03-01
    “…Radio communication systems for small Earth-orbiting objects possess a number of specific features associated with their application area, thus being expected to meet conflicting requirements. …”
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  3. 663

    Analysis and Application of Grey-Markov Chain Model in Tax Forecasting by Huidi Zhang, Yimao Chen

    Published 2021-01-01
    “…Based on the summary and analysis of previous research works, this paper expounds the current research status and significance of tax forecasting, elaborates the development background, current status, and future challenges of the Grey-Markov chain model, introduces the basic principles of grey forecasting model and Markov chain model, constructs the Grey-Markov chain model, analyzes the model’s residual error and posteriori error tests, conducts the analysis of Grey-Markov chain model, performs grey forecasting model construction and its state division, implements the calculation of transition probability matrix and the determination of tax forecasting value, discusses the application of the Grey-Markov chain model in tax forecasting, and finally carries out a simulation experiment and its result analysis. …”
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  4. 664

    Refining Jensen–Mercer inequality and its applications in probability and statistics by Rabia Bibi, Sajid Ali

    Published 2025-07-01
    “…Abstract This paper focuses on refining the Jensen–Mercer inequality and extending its applications to various important inequalities, including Hölder’s, Ky Fan, and AM-GM inequalities. …”
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    On estimation of the quadratic hazard rate model parameters: Simulation and application by M. Nagy, A. H. Mansi, Moustafa N. Mousa, M. E. Moshref, N. Youns, M. M. M. Mansour

    Published 2025-05-01
    “…The precision and consistency of point and interval estimates are assessed using four performance metrics: root mean squared error, mean relative absolute bias, average confidence interval length, and coverage probability. …”
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  8. 668

    Data efficiency assessment of generative adversarial networks in energy applications by Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, William L. Gurecky, Pradeep Ramuhalli, Majdi I. Radaideh

    Published 2025-05-01
    “…Seasonal variations posed challenges, with wGAN achieving a relatively high error of Root Mean Squared Error (RMSE) of 0.32 for load power prediction, compared to RMSE of 0.07 under same-season conditions. …”
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  9. 669

    Automated Calibration of SWMM for Improved Stormwater Model Development and Application by Hossein Ahmadi, Durelle Scott, David J. Sample, Mina Shahed Behrouz

    Published 2025-05-01
    “…This tool can employ either a single-objective or multi-objective approach to calibrate a SWMM model by minimizing the error between prediction and observed values. This tool uses performance metrics including Nash-Sutcliffe Efficiency (NSE), Percent Bias (PBIAS), and Root Mean Square Error (RMSE) Standardized Ratio (RSR) for both single-event and long-term continuous rainfall-runoff processes. …”
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  10. 670
  11. 671

    Synchronization of Switched Interval Networks and Applications to Chaotic Neural Networks by Jinde Cao, Abdulaziz Alofi, Abdullah Al-Mazrooei, Ahmed Elaiw

    Published 2013-01-01
    “…Moreover, as an application, the proposed scheme is then applied to chaotic neural networks. …”
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    Study of intelligent game adversarial algorithms and their applications in the intelligence field by LIU Geng, LIU Xing

    Published 2024-12-01
    “…Finally, it gives the specific application of intelligent game confrontation algorithm in the field of intelligence, as well as the effective measures to improve the quality and efficiency.…”
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    Signal-Cooperative Multilayer-Modulated VLC Systems for Automotive Applications by Yan-Yu Zhang, Hong-Yi Yu, Jian-Kang Zhang, Yi-Jun Zhu

    Published 2016-01-01
    “…Computer simulations indicate that our proposed design has better error performance than the currently available time-orthogonal transmission scheme for this application.…”
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