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  1. 1161

    Ionic diffusion into the peripheral area of a glow discharge in the electronegative gases by Golovitskii Alexander

    Published 2024-12-01
    “…The results of a specially conducted computational experiment were compared with those obtained through the approximate solution, and their good agreement was established (the error did not exceed 13%). The research carried out is important for correct quantitative evaluations of ionization rate, electron temperature and a longitudinal field in a positive column of an electronegative glow discharge.…”
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  2. 1162

    Experimental Study on The Mechanical Properties of Novel Viscous Mass Damper by CAI Yijie, XU Weizhi, WANG Shuguang, DU Dongsheng, SUN Yue

    Published 2025-01-01
    “…In terms of force magnitude, the maximum error was 42.5 kN, while the average error was as low as 20.97 kN. …”
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  3. 1163

    Enhancing short-packet communications: BLER performance in RIS-assisted ambient backscatter NOMA systems. by Le Si Phu, Tan N Nguyen, Bui Vu Minh, Phu Tran Tin, Miroslav Voznak

    Published 2025-01-01
    “…In this paper, we investigate the block error rate (BLER) performance of a reconfigurable intelligent surface (RIS)-assisted ambient backscatter communication (AmBC) system operating under a non-orthogonal multiple access (NOMA) framework. …”
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  4. 1164

    Task domain independent speech keyword detection system by HAN Jiang, LIU Xiao-xing, YAN Yong-hong, ZHANG Peng-yuan

    Published 2006-01-01
    “…A multiple scale acoustic modeling framework for task-domain independent keyword spotting was proposed.A large-scale phoneme set was obtained automatically through decision-tree based phoneme clustering,and a large-scale phoneme acoustic context dependent background model was trained accordingly through using standard HMM training framework.The modeling accuracy for filler speech is improved.Under the framework,an efficient searching space construction through using shared HMM state was also described.Experimental results showed that in average absolute 6.9% improvement of keyword recognition accuracy could be obtained.Furthermore an acoustic context neighbor algorithm to measure acoustic confidence and a method of computing candidate keyword likelihood based on proposed multiple-scale acoustic model were proposed and a fusing method based on FLDA was adopted.The effectiveness of acoustic confidence measure is improved significantly.Experimental results showed that absolute 3.0% reduction of equal error rate could be obtained.…”
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  5. 1165

    Bioinspired Knee Joint for a Power-Assist Suit by Takehito Kikuchi, Kohei Sakai, Isao Abe

    Published 2016-01-01
    “…In addition, in spite of 33% error in deep flexion, the measured torque over less than 120 degrees fits the designed torque curve. …”
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  6. 1166

    Influence of Friction Forces and Gravity on the Quality of Movement in the MWR Rehabilitation Supporting Device by Bogusz Lewandowski

    Published 2025-05-01
    “…Implementing these compensation functions resulted in a substantial improvement in movement quality, as demonstrated by a reduction of over 50% in the integral of the absolute position error. …”
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  7. 1167

    Exploring Economic Dynamics and Urbanization in the Context of Environmental Impact: A Study on Capital Flows, Investment Trends, and Urban Growth by Sandip Sarker

    Published 2024-12-01
    “…Leveraging time series data from 1990 to 2021, the research employs robust econometric models, including Ordinary Least Squares (OLS) regression and Error Correction Model (ECM), to disentangle the short-term and long-term influences of these factors on environmental degradation. …”
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  8. 1168

    A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning by Jian Sun, Jie Li

    Published 2018-01-01
    “…For avoiding a large number of trials and improving the stability, the training of action network introduces supervised learning mechanisms into reduction of long-term cost. The stability of the control system with learning algorithm is analyzed; the upper bound of the tracking error and neural network weights are also estimated. …”
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  9. 1169

    Mental chronometry in big noisy data. by Edmund Wascher, Fariba Sharifian, Marie Gutberlet, Daniel Schneider, Stephan Getzmann, Stefan Arnau

    Published 2022-01-01
    “…In the present study, we systematically evaluated two different approaches to latency estimation (peak latencies and fractional area latencies) with respect to their data quality and the application of noise reduction by jackknifing methods. Additionally, we tested the recently introduced method of Standardized Measurement Error (SME) to prune the dataset. …”
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  10. 1170

    Radio frequency fingerprint data augmentation for indoor localization based on diffusion model by Haojun AI, Weike ZENG, Jingjie TAO, Jinying XU, Hanxiao CHANG

    Published 2023-11-01
    “…The radio frequency fingerprint indoor localization method ensures the accuracy by collecting a sufficient amount of fingerprints in the offline state to build a dense fingerprint database.A data augmentation method called FPDiffusion was proposed based on diffusion model to reduce the cost of fingerprint acquisition.Firstly, a temporal graph representation of the fingerprint sequence was constructed, the forward process of the diffusion model was accomplished by adding Gaussian noise, and a U-Net was utilized for the reverse process.The loss function of the network was designed according to the characteristics of radio frequency fingerprints.Finally, the computational process for generating dense fingerprints based on sparse fingerprints was presented.Experimental results demonstrate that FPDiffusion achieves 76% and 28% localization error reduction on K-nearest neighbor (KNN) and convolutional neural network (CNN) respectively, and significantly improves localization accuracy on KNN compared to Gaussian process regression (GPR) and GPR-GAN when only a small amount of labeled fingerprints is available.…”
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  11. 1171

    The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation by Feng BIN, Xu LEI

    Published 2020-07-01
    “…In order to solve the problem of large error of delay estimation in low SNR environment, a new delay estimation method based on cross power spectral frequency domain weighting and spectrum subtraction is proposed. …”
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  12. 1172

    Two-particle calculations with quantics tensor trains: Solving the parquet equations by Stefan Rohshap, Marc K. Ritter, Hiroshi Shinaoka, Jan von Delft, Markus Wallerberger, Anna Kauch

    Published 2025-04-01
    “…The applied methods allow for an exponential increase of the number of grid points included in the calculations, and a corresponding exponential reduction of the computational error, for a linear increase in computational cost.…”
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  13. 1173

    Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs by Hamed Nozari, Maryam Rahmaty, Parvaneh Zeraati Foukolaei, Hossien Movahed, Mahmonir Bayanati

    Published 2025-01-01
    “…So, EPO has achieved the optimal value of the objective function compared to a 70% reduction in the solution time. Further analyses show the effectiveness of EPO in the indicators of average objective function, average RPD error, and solution time. …”
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  14. 1174

    A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques by Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook

    Published 2024-01-01
    “…However, the high PAPR in OTFS systems can compromise the performance of power amplifiers, increasing signal distortion and Bit Error Rate (BER). This study introduces two novel PAPR reduction techniques: a hybrid approach combining the Improved Salp Swarm Algorithm (ISSA) with Partial Transmit Sequence (PTS) and an innovative Iterative Sub-block Phase Rotation (ISPR) method. …”
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  15. 1175

    Enhancing preanalytic surgical specimen management: experience of a system implementation initiative by Peirong Chen, Weiming Qiu

    Published 2025-07-01
    “…Results The system reduced errors from 24.82 to 2.40%, including reductions of 86.85% in requisition mistakes, 95.30% in label errors, and 100% in illegible handwriting. …”
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  16. 1176

    Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

    Published 2025-01-01
    “…Experimental results indicate that compared to the GA-SVM model, the BO-SVM model, and the PCA-GA-SVM model, the PCA-BO-SVM model exhibits a reduction in average error rates by 12.86%, 9.01%, and 2%, respectively, along with improvements in average accuracy and operational efficiency by 10.1%, 7.05%, and 0.325% and 25.5%, 18.4%, and 19.2%, respectively. …”
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  17. 1177

    Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

    Published 2025-07-01
    “…For example, in the combination of all four input data, the amount of root mean square error (RMSE) for SVR-BA was approximately 24% lower and the amount of squared correlation coefficient (R2) was approximately 2% higher, compared to SVR model.…”
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  18. 1178

    Analysis of the impact of mobile robots on the efficiency of warehousing and transport processes in modern textile manufacturing by Karabegović Isak

    Published 2025-01-01
    “…Studies indicate that the deployment of AMR technology can improve warehouse efficiency by up to 40% and reduce operational costs by as much as 25%, while also decreasing human error and enhancing workplace safety. Global trends suggest that mobile robots will become standard components of smart textile factories, particularly in advanced economies heavily investing in digital transformation and automation. …”
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  19. 1179

    Potential impacts of artificial intelligence for management accounting in the perception of professionals in the field by Marcela Chagas de Souza Schwindt, Simone Alves da Costa

    Published 2025-07-01
    “…Another aspect addressed is the potential of technology and expanded as the variables used for analysis, dealing with a large quantity of data, in addition to factors such as time reduction, quality increase, greater process agility and error reduction. …”
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  20. 1180

    Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU by Jian Lv, Binhao Huang, Ligang Qiang

    Published 2025-07-01
    “…Experimental evaluations across three motion tasks—level walking, stair ascent, and stair descent—demonstrated that the proposed method achieved a minimum root mean square error (RMSE) of 1.31°, with over 50% reduction in feature dimensionality, significantly outperforming Genetic Algorithm (GA), Zebra Optimization Algorithm (ZOA), Liver Cancer Algorithm (LCA), and Pied Kingfisher Optimizer (PKO). …”
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