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  1. 621

    PEMFC Thermal Management Control Strategy Based on Dual Deep Deterministic Policy Gradient by Zhi Zhang, Yunde Shen, Kai Ou, Zhuwei Liu, Dongji Xuan

    Published 2025-03-01
    “…Specifically, the D-DDPG PID achieves a temperature error reduction of up to 75.4% and shortens the average tuning time by up to 25.6% compared to PSO-PID. …”
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    Article
  2. 622

    Blackman–Tukey spectral estimation and electric network frequency matching from power mains and speech recordings by Georgios Karantaidis, Constantine Kotropoulos

    Published 2021-08-01
    “…Maximum correlation coefficient and minimum standard deviation of errors are employed to measure ENF estimation accuracy. …”
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    Article
  3. 623

    Darwinian Philosophy as Optimization Method for Design High Reflection Mirror Include New Merit Function by Baghdad Science Journal

    Published 2010-03-01
    “…This work appears designed high reflection mirror that have good performance with reduction the number of layers, which can enable one to controlling the errors effect of the thickness layers on the final product, where in this work we can yield such a solution in a very shorter time by controlling the length of the chromosome and optimal genetic operators . …”
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  4. 624

    Comparison of nonlinear Kalman filtering schemes for sensorless control of permanent magnet-assisted synchronous reluctance machines by M.A. González-Cagigal, Cristina Martín, Mario Bermúdez, Pedro Cruz-Romero

    Published 2025-04-01
    “…Performance, computational effort, and sensitivity to measurement errors and model parameters are evaluated and compared through simulation to clarify which filtering algorithm is more suitable for the system under study.…”
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    Article
  5. 625

    Category-like representation of statistical regularities allows for stable distractor suppression by Catherine W. Seitz, Anthony W. Sali

    Published 2025-08-01
    “…We then used computational modeling to explore whether the strength of suppression was best explained by continuous distractor frequency summation, reinforcement learning prediction errors, or a categorical all-or-nothing response. …”
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    Article
  6. 626

    A sequential-generation-based intelligent method for layout of pipeline supports by Jingjing Wu, Qichang He

    Published 2025-01-01
    “…Finally, the proposed method’s validity was confirmed via real-world design cases, demonstrating an accuracy of 91.55% with minimal errors and a 40-fold reduction in the design cycle.…”
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    Article
  7. 627

    Enhancing Eye-Hand Coordination with Therapy Intervention to Improve Visual-Spatial Abilities using ‘The Re-training Approach’ in Children with Down Syndrome: Three Case Studies... by Deena Ashok, Sumi S, Shruti Nadkarni

    Published 2012-08-01
    “…This improvement manifested in the reduction of time taken to perform the coordination tests and in the errors made while performing the tests.…”
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  8. 628

    Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

    Published 2023-01-01
    “…The reached decoding latency on the parallel processing platform is 150 μs for 288 bits with a bit error ratio of 3.410–9.…”
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    Article
  9. 629

    From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

    Published 2025-05-01
    “…By identifying and optimizing informacophores through in-depth analysis of ultra-large datasets of potential lead compounds and automating standard parts in the development process, there will be a significant reduction in biased intuitive decisions, which may lead to systemic errors and a parallel acceleration of drug discovery processes.…”
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    Article
  10. 630

    Failure Analysis of Static Analysis Software Module Based on Big Data Tendency Prediction by Jian Zhu, Qian Li, Shi Ying

    Published 2021-01-01
    “…In the paper, static analysis software is taken as the research object, the errors or failures caused by the potential defects of the software modules are analyzed, and a software analysis method based on big data tendency prediction is proposed to use the software defects of the stacked noise reduction sparse analyzer to predict. …”
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    Article
  11. 631

    Temperature effects in composite structures of resonant frequency pressure sensor by Vtorushin Sergey, Talovskaya Alena, Barbin Evgenii, Kulinich Ivan

    Published 2025-01-01
    “…Temperature effects can introduce significant errors in measurements and also cause a reduction in sensitivity thresholds during operation. …”
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    Article
  12. 632

    Research on Performance of Asymmetrical Shutter Fins in Microchannel Heat Exchanger by Gou Weilong, Liu Yusheng, Feng Jiawang, Li Jiawei, Li Wanyong, Chen Jiangping

    Published 2021-01-01
    “…This study also conducted experimental research on a new type of fin, and the results show that most of the errors between the experimental and simulation results are below 10%.…”
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  13. 633

    Hourly and Day Ahead Power Prediction of Building Integrated Semitransparent Photovoltaic System by S. Kaliappan, R. Saravanakumar, Alagar Karthick, P. Marish Kumar, V. Venkatesh, V. Mohanavel, S. Rajkumar

    Published 2021-01-01
    “…The performance metrics of the errors are analysed such as the root mean square error (RMSE), mean absolute percentage error (MAPE), and mean square root (MSE). …”
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  14. 634

    A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

    Published 2019-06-01
    “…Also, under rough initial position estimates, the proposed algorithm achieves root mean square error values less than the radio range of unknown sensors, in average, with only a few iterations.…”
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  15. 635

    Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction by Qinhe Zhang, Jiachen Zhang, Tie Feng, Jialang Xue, Xinxin Zhu, Ningyang Zhu, Zhiheng Li

    Published 2024-01-01
    “…Unfortunately, all the previous research conducted without effective feature reduction suffers from high-dimensional data, leading to unsatisfactory prediction performance measures. …”
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    Article
  16. 636

    Investigation of viscous damping in perforated MEMS devices by Zeyu Jia, Yuhao Wang, Xiaoxu Wang, Xiang Xu, Jinshuai Sun, Mengqi Sun, Jian Bai, Wei Huang, Qianbo Lu

    Published 2025-05-01
    “…Subsequently, the theoretical models are validated through a series of vibration tests on perforated oscillators, with errors consistently controlled within 10%. Experimental results demonstrate that perforations can easily achieve a damping reduction of more than one order of magnitude. …”
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  17. 637

    An Efficient Large-Scale 3D Map Stitching Algorithm Using Automatic Overlapping Area Identification by Hsien-I Lin, Muhammad Ahsan Fatwaddin Shodiq, An-Kai Jeng, Chun-Wei Chang

    Published 2025-01-01
    “…In terms of accuracy, the proposed method reduces translation error to 0.1723m and rotation error to 0.1763°, representing decreases of 5.28% and 16.16%, respectively, while manual selection results in a translation error of 0.4278m and rotation error of 0.7123°, increases of 135.25% and 238.75% respectively, compared to the entire maps 0.1819m and 0.2103°.…”
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  18. 638

    Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

    Published 2025-02-01
    “…The model achieved a maximum accuracy of 0.993 with 160 training epochs, minimizing the error function to 0.005. In comparison with similar approaches, the proposed method demonstrated better results in accuracy and training speed, which was confirmed by a reduction in the number of iterations by 1.36 times and an improvement in the mean square error by 1.86–6.02 times.…”
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  19. 639

    The effects of different post-activation potentiation strategies on the performance of elite female track cyclists in position 1 of team sprint by Tianhe Li, Yapu Liang

    Published 2024-10-01
    “…After DYN activation, the 250 m TT significantly improved (p = 0.018), primarily through a reduction in the 62.5 m time (p = 0.006) and an increase in peak torque (p = 0.018). …”
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  20. 640

    Automatic Importance Biasing in FLUKA: Application Scenarios by Ruiz Francisco Ogallar, Theis Christian, Vincke Helmut

    Published 2024-01-01
    “…In the context of Monte Carlo simulation, importance biasing is a well-established variance reduction technique. It is typically employed to compensate for particle attenuation and is commonly used in FLUKA simulations. …”
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