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  1. 1541

    Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas by Cheng Chen, Binquan Li, Yang Xiao, Huihui Li, Taotao Zhang, Dong Xu, Huanghao Yu

    Published 2025-02-01
    “…A BP neural network (BPNN) was employed for error correction to reduce model uncertainty in forecasting. …”
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    Article
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    Parameter estimation in solar power plant systems: a comparative study of recursive and iterative techniques by Kiavash Hossein Sadeghi, Mahmood Shafikhah, Arash Marashian, Emad Roshandel, Abolhassan Razminia

    Published 2024-11-01
    “…In this study, we utilized the prediction error method (PEM), a robust algorithm for system identification, to capture the plant’s operational characteristics with precision. …”
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    Article
  9. 1549

    High-Accuracy Bandgap Reference of <20 ppm/°C: A Review by Haoyu Zhuang, Xudong Chen, Enzhe Zhang, Qiang Li

    Published 2025-01-01
    “…This review discusses the principle of typical bandgap reference circuits and analyzes their sources of errors. In order to provide readers with a clear perspective, we categorize the error sources into four types: (a) amplifier offset; (b) high-order nonlinearity of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>V</mi><mrow><mi>B</mi><mi>E</mi></mrow></msub></semantics></math></inline-formula>; (c) current mirror mismatch; and (d) other error sources. …”
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    Article
  10. 1550

    Design of integrated radar and communication system based on solvable chaotic signal by Jun-Liang Yao, Mei-Xin He, Yu-Jie Ma, Yun-Fan Yang, Hui-Ping Yin, Hui Hui

    Published 2024-12-01
    “…Recently, some new properties of a class of solvable chaotic system have been studied for wireless applications, such as low bit error rate (BER) wireless communications and low cost target detection. …”
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    Article
  11. 1551

    RS Coded Mixed RF and Multi-Hop FSO System for 5G-CRAN- A Performance Analysis by Hemanth. C, Sangeetha R. G, Kaushal Karthik K M, Anbarasi K.

    Published 2025-01-01
    “…The effectiveness of the system is assessed by comparing coded and uncoded systems under various atmospheric weather conditions, including atmospheric turbulence (AT) and pointing error (PE). Monte Carlo simulation validates the results, demonstrating how the system can support 5G applications.…”
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  12. 1552

    Design and Hysteresis Compensation of Novel Resistive Angle Sensor Based on Rotary Potentiometer by Ruiqi Liu, Min Li, Jiahong Zhang, Zhengguo Han

    Published 2025-06-01
    “…The results show that the percentage nonlinearity error was reduced from the original 4.413% to 0.182%, and the percentage hysteresis error was decreased from the original 4.061% to 0.404%. …”
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  13. 1553

    A novel low complexity, low latency rate 1/2 FEC code by Maan A.S. Al-Adwany, Mohammed H. Al-Jammas, Hind Th. Hamdoon

    Published 2024-12-01
    “…Accordingly, the proposed code is suitable for applications that require a good balance between error correction and data rate.…”
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    Application of blade element momentum theory with guaranteed convergence to analyze a straight-blade horizontal axis wind turbine by Dang Huy Le, The Bao Nguyen, Van Minh Ngo

    Published 2025-06-01
    “…The obtained results show that the improved BEM method can be applied to calculate the mechanical power output of straight-blade turbines with errors of less than 10% compared to reality. This thereby proves the applicability of the improved BEM method to solve practical problems of small wind turbines.…”
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  18. 1558

    A Semi‐Analytic Hybrid Approach for Solving the Buckmaster Equation: Application of the Elzaki Projected Differential Transform Method (EPDTM) by Kabir Oluwatobi Idowu, Abdullateef Adedeji, Adedapo Christopher Loyinmi, Guang Lin

    Published 2025-03-01
    “…A detailed comparative analysis of the EPDTM results with exact solutions, using tables, 3D plots, and error graphs, demonstrates the negligible absolute errors achieved by the method. …”
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    Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data by Abdelaziz Mojahid, Driss El Ouai, Khalid El Amraoui, Khalil El-Hami, Hamou Aitbenamer

    Published 2025-04-01
    “…By providing this labelled dataset for deep learning model training, this can facilitate the development of automated systems, capable of detecting subsurface anomalies effectively, which could reduce manual errors.…”
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    Article