Genetic Programming and Standardization in Water Temperature Modelling by Maritza Arganis, Rafael Val, Jordi Prats, Katya Rodríguez, Ramón Domínguez, Josep Dolz

“…This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes.…”
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A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity by Arif Muhammad Shoaib

“…Quantitative validation demonstrates that the scheme achieves second-order accuracy in time and sixth-order convergence in space, with a reduction in error norm of up to 18% compared to the classical second-order Runge–Kutta method. …”
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Research on the Synchronization Control Strategy of Regenerative Braking of Distributed Drive Electric Vehicles by Ren He, Yukun Xie

“…Moreover, compared with the conventional regenerative braking control strategy, the regenerative braking synchronization control strategy can reduce the speed synchronization error between the motors during the regenerative braking process, so as to improve the synchronization and output stability of the motors during the braking process.…”
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Risk assessment and «Safety culture» lifting devices by Prusov A.Yu.

“…The hazardous situation and the likelihood of operator error in the slinging of cargo. The practical example of reduction of risk of operation of the load gripping device for the purpose of increase of safety at its use is considered. …”
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Quantum Merlin-Arthur proof systems for synthesizing quantum states by Hugo Delavenne, François Le Gall, Yupan Liu, Masayuki Miyamoto

“…Our main result consists of error reduction of this class and its variants with an exponentially small gap or bounded space, as well as how this class relates to other fundamental state synthesizing classes, i.e., states generated by uniform polynomial-time quantum circuits ($\sf{stateBQP}$) and space-uniform polynomial-space quantum circuits ($\sf{statePSPACE}$). …”
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Graph Neural Networks for Pressure Estimation in Water Distribution Systems by Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler

“…Our model surpasses the performance of previous studies on several WDNs benchmarks, showing a reduction of absolute error of ≈40% on average.…”
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Multi-modality deep learning for pulse prediction in homogeneous nonlinear systems via parametric conversion by Hao Zhang, Linshan Sun, Jack Hirschman, Sergio Carbajo

“…Our results demonstrate a 73% reduction in prediction error and an 83% improvement in computational efficiency compared to conventional neural networks. …”
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Research on the Effect of Data Assimilation for Three‐Dimensional MHD Simulation of Solar Wind by Hanke Zhang, Fang Shen, Yi Yang

“…Statistical analysis of observed, modeled and assimilated solar wind parameters at 1 AU reveals that assimilating simulations provide a more accurate forecast than the model‐only results with a sharp reduction in the root mean square error and an increase of correlation coefficient.…”
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Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method. by Long Di, Naiwei Huang, Jiaqi He, Xuxiang Wu, Hansheng Huang, Yongbin Su, Tundong Liu

“…Furthermore, a probabilistic obstacle motion prediction framework is established through motion pattern analysis to actively optimize the robot's motion strategy and reduce tracking errors. Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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Minimizing Interference in Robotic Rehabilitation via Asymmetric Stiffness Force Fields by Yasuhiro Kato, Sho Sakaino, Toshiaki Tsuji

“…The experimental results revealed that the proposed approach demonstrated a similar reduction in movement error compared to the conventional stiffness approach. …”
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A Coupled Torsional-Transition Nonlinear Vibration and Dynamic Model of a Two-Stage Helical Gearbox Reducer for Electric Vehicles by Abdulhameed M. Y. Al-Tayari, Siyu Chen, Zhou Sun

“…A coupled torsional-transition nonlinear dynamic model of a two-stage helical gear (TSHG) reduction system for electric vehicles (EVs) is presented in this paper. …”
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Implementation of Inpatient Medical Records at dr. Reksodiwiryo Hospital: A Qualitative Study by Mutia Rahmi, Ayulia Sari, Sri Siswati

“…There was a delay in the submission of medical records, resulting in suboptimal medical record processing. An error occurred during the medical record storage process, resulting in a misfile. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…The results verify that this method accurately predicts the daily entrance passenger flow and daily exit passenger flow of rail transit stations with the prediction error of less than 4.1%. Finally, the proposed model is compared with the linear regression model.…”
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Two-Stage Optimization Model of Centralized Energy Storage Participating in Peak Shaving with Maximum Reserve Capacity and Minimum Carbon Emission of the System by Zhiyao Zhang, Jingjie Huang, Nianguang Zhou, Hongming Yang, Renjun Zhou

“…The simulation results show that the carbon emission model of thermal power units with BESS can measure the contribution of energy storage to emission reduction. By setting the reserve capacity of energy storage, the peak-shaving resilience of the system is improved, and the risk of photovoltaics and wind forecast error is reduced.…”
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MM-iTransformer: A Multimodal Approach to Economic Time Series Forecasting with Textual Data by Shangyang Mou, Qiang Xue, Jinhui Chen, Tetsuya Takiguchi, Yasuo Ariki

“…Compared to models relying solely on historical price data, the proposed framework achieves a substantial reduction in Mean Squared Error (MSE) loss, with improvements of up to 26.79%. …”
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Effects of aging on word position encoding in Chinese reading by Zhiwei Liu, Yan Li, Jingxin Wang

“…Crucially, young adults showed a more pronounced transposed-word effect than older adults, suggesting an age-related reduction in the flexibility of word position coding. …”
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Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors by Felipe S. Guedes, Nady Rocha, Alvaro M. Maciel, Alfeu J. Sguarezi Filho

“…This reduction is applied in a two-level converter, reducing the test to 4 or 2 active vectors. …”
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Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method by Zhuo Chen

“…Based on this, this paper will improve the traditional wavelet denoising algorithm, abandon the single-threshold judgment of the original traditional algorithm, innovatively adopt the combination of soft threshold and hard threshold, further solve the distortion problem of the denoising algorithm in the process of English speech translation signal recognition, improve the signal-to-noise ratio of English speech recognition, and further reduce the root mean square error of the signal. Good noise reduction effect is realized, and the accuracy of speech recognition is improved. …”
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A UAV-Assisted STAR-RIS Network with a NOMA System by Jiyin Lan, Yuyang Peng, Mohammad Meraj Mirza, Fawaz AL-Hazemi

“…Simulation results show that the proposed scheme achieves up to 22% improvement in achievable rate and significant reduction in bit error rate (BER) compared to benchmark schemes, demonstrating its effectiveness in integrating STAR-RIS and UAV in NOMA networks.…”
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Testing the Level of Alternative Institutions as a Slowdown Factor of Economic Development: the Case of Montenegro by Mimo Draškovic, Sanja Bauk, Dalia Streimikiene, Veselin Draskovic

“…On the basis of the conducted statistical examines: standard error of the regression estimate, correlation coefficient, and coefficient of determination are calculated on the basis of previously determined regression coefficients and forecast values of the linear function of free variables (factors: a, b, and c). …”
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