Continuous respiratory rate monitoring through temporal fusion of ECG and PPG signals. by Yuxuan Lin, Xinyue Song, Yan Zhao, Chunlin Zhang, Xiaorong Ding

“…Validation on two public datasets - the Capnobase dataset (42 subjects) and the BIDMC dataset (53 subjects) - showed that the proposed method attained a mean absolute error (MAE) of 1.39 breaths/min and 3.29 breaths/min for RR estimation, respectively, achieving an average 11.61% reduction in MAE compared to existing state-of-the-art approaches. …”
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Robotic Process Automation-Based Functional Test Automation of High-Speed Analog-to-Digital Converter Customer Evaluation Boards by Ace Dominic Alcid, Glenn Magwili

“…However, the evaluation boards are normally tested manually, and manual testing methods have challenges in terms of time efficiency, human error, and scalability. …”
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Load-Sharing Characteristics of Power-Split Transmission System Based on Deformation Compatibility and Loaded Tooth Contact Analysis by Hao Dong, Ling-ling Duan, Jun-an Zhang, Zhou Fang

“…Finally, the load-sharing coefficient of the power-split transmission system is obtained, and the influences of the installation errors are analyzed. The results show that the above-mentioned installation errors comprehensively influence the load-sharing characteristics, and the reduction of only one error could not effectively achieve perfect load-sharing characteristics. …”
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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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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

“…The model consists of 16 degrees of freedom (DOF), which includes factors such as the nonlinearity of backlash, time-varying mesh stiffness (TVMS), mesh damping, supporting bearings, static transmission error (STE), and the torsional damping and stiffness of the intermediate shaft, in which the fourth-order Runge–Kutta numerical integration method was applied to solve the differential equations. …”
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Implementation of Inpatient Medical Records at dr. Reksodiwiryo Hospital: A Qualitative Study by Mutia Rahmi, Ayulia Sari, Sri Siswati

“…The Miles and Huberman model was employed for data analysis, encompassing reduction, display, and conclusion operations. The data validity test employed both source triangulation and method triangulation. …”
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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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Modeling and Performance for Seabed Airlift Device Based on Pressure Drop by Zhineng WANG, Junwei ZOU, Weiming LIN, Xiaochuan WANG

“…An accurate model of a seabed airlift device is difficult to propose using the traditional mechanical equilibrium method because the forces among gas, liquid, and solid phases are very complex. …”
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Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models by S. Palomas, M. C. Acosta, G. Utrera, E. Tourigny

“…Likewise, when compared to the EC-Earth high-resolution EUCP runs, the method presented showed an improvement of 34 % in the speed, with a 6.7 % reduction in the core hours consumed.…”
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Photospectral Data Obtaining with the Unmanned Aerial Spectrometry Vehicle by A. A. Lamaka, A. V. Gutarau, N. G. Shcherbakou, P. V. Ivuts

“…This led to the timing error standard deviation reduction from 142 ms to 15 ms. …”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…Predictive models received assessment based on Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R². …”
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A hybrid CNN-BILSTM deep learning framework for signal detection of a massive MIMONOMA system by Mohamed A. Abdelhamed, Mennatalla Samy, Bassem E. Elnaghi, Ahmed Magdy

“…However, the most common technique for detecting NOMA in receivers, known as successive interference cancellation (SIC), has limitations in error detection. Deep learning (DL) signal detection methods solve this problem. …”
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Research on Path-Following Technology of a Single-Outboard-Motor Unmanned Surface Vehicle Based on Deep Reinforcement Learning and Model Predictive Control Algorithm by Bin Cui, Yuanming Chen, Xiaobin Hong, Hao Luo, Guanqiao Chen

“…Subsequently, simulation and real ship experiments provide a comprehensive performance comparison between the proposed DDPG-MPC method and the traditional ALOS-PID method. The results indicate that for straight path tracking, the DDPG-MPC algorithm achieves 37% and 21% reductions in the average cross error and heading angle error, respectively, compared to the ALOS-PID algorithm. …”
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Reduced-Order Models and Conditional Expectation: Analysing Parametric Low-Order Approximations by Hermann G. Matthies

“…This offers the possibility of having a combined view of these methods and also of introducing more general loss functions.…”
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Impact of Low-dose Imaging on PET Quantitative Accuracy and Image Quality by SU Xuesong, GENG Jianhua, ZHENG Rong, WANG Xuejuan

“…This suggests that this method may be a viable approach for delayed PET imaging. …”

Coordinated Design of Power System Stabilizer and Virtual Inertia Control Using Modified Harris Hawk Optimization for Improving Power System Stability by Mohamad Almas Prakasa, Imam Robandi, Alberto Borghetti, Muhammad Ruswandi Djalal, Waseda Himawari

“…With the optimal damping ratios of 9.94% to 9.96% achieved by HHO-MSS, the overall power system stability improvements, including both local and interarea responses across 38 simulations involving sudden load changes, varying inertia, and different RES levels, are as follows: 41.17% to 70.89% frequency nadir improvement, 25.9% to 67.38% power angle deviation improvement, 84.83% to 85.26% settling time reduction, and 51.57% to 89.73% average error reduction calculated with performance indices. …”
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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…In terms of this index, the model generates good agreement between reference and observed maps in 2001, and 2010 with relative error values of 5 %, and 0.4 %. Spatial process was attrition in the ground truth data due to the reduction in area, and number of patch per unit area during 1984–2001, and 2001–2010. …”
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Improving stock price forecasting with M-A-BiLSTM: a novel approach by Zihan Liu

“…Evaluated on stock datasets from Apple, ExxonMobil, Tesla, and Snapchat, our model outperforms existing deep learning methods, achieving a 15.91% reduction in Mean Squared Error (MSE) for Tesla and a 5.95% increase in R-squared (R2) for Apple. …”
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Adaptive fractal dynamics: a time-varying Hurst approach to volatility modeling in equity markets by Abe Webb, Siddharth Mahajan, Mateo Sandhu, Rohan Agarwal, Arjun Velan

“…Additionally, the model achieves an average absolute option pricing error of 1.8 %, markedly lower than that of traditional specifications. …”
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