Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…The simulation results show that, under the same number of experiments, the advantages of this method are more obvious. On the overall level, the average modeling error of this method is about 0.053%, while the average of the traditional method is about 0.186%, indicating that the method can reduce the error control within a reasonable range. …”
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Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting by Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, Hyuk-Yoon Kwon

“…As a result, the prediction accuracy of the proposed method outperforms those of the existing methods by 1.01–1.76 times for summer data and by 1.03–1.36 times for winter data in terms of mean absolute percentage error (MAPE).…”
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Autonomous surgical planning of mandibular angle reduction based on anatomical landmarks and osteotomy plane detection by Zhenggang Cao, Yichi Zhang, Junlei Hu, Gang Chai, Li Lin, Le Xie

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Approximate Inertial Manifold-Based Model Reduction and Vibration Suppression for Rigid-Flexible Mechanical Arms by Lisha Xu, Hua Deng, Chong Lin, Yi Zhang

“…So, accurately positioning and controlling the rigid-flexible mechanical arms could be difficult. Therefore, a model reduction method of rigid-flexible mechanical arms based on the approximate inertial manifold is put forward. …”
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Estimating timber assortment reduction and sawlog proportions with the application of harvester measurements and open big geodata by Ville Vähä-Konka, Lauri Korhonen, Kalle Kärhä, Matti Maltamo

“…Our results showed that the root mean square error (RMSE) values associated with sawlog volumes of Norway spruce (Picea abies (L.) …”
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Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems by Ilias Chouridis, Gabriel Mansour, Apostolos Tsagaris

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Identification and evaluation of human errors using SHERPA technique among nurses at emergency ward of an educational hospital in Semnan city, Iran by ali Kermani, adel Mazloumi, jebraeel NaslSeraji, fariba GhasemZadeh

“…Therefore, current study was conducted with the aim of identification and evaluation of human error using SHERPA (Systematic Human Error Reduction and Prediction Approach) technique among nurses working at the emergency section of an educational hospital in Iran. …”
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An error estimation of absolutely continuous signals and solution of Abel’s integral equation using the first kind pseudo-Chebyshev wavelet technique by Susheel Kumar, Aditya Kumar Awasthi, Sudhir Kumar Mishra, Harish Chandra Yadav, Abhilasha, Shyam Lal

“…This approach is motivated by the need for highly efficient and precise methods for function representation and the error reduction in this domain. …”
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The proprioceptive puzzle: An observational study investigating the effects of cervical proprioceptive errors on quantitative sensory testing and body awareness in young individual... by Nagihan Acet, Sena Begen

“…<h4>Objective</h4>The present study investigates the effects of cervical proprioceptive errors (CPE) on body awareness and quantitative sensory testing (QST), including the pressure pain threshold, temporal summation, and conditioned pain modulation in young individuals.…”
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A High-Efficiency Wireless Information and Energy Co-Transmission System Based on Self-Compensating Inductive Temperature Sensitivity Error by Tan Lu, Libo Ding, Keren Dai, Shaojie Ma, He Zhang

“…The experimental results demonstrate that the proposed method reduces the system’s operating frequency error from 3 kHz to within 0.2 kHz (a 93.33% reduction), restoring the power deviation coefficient to 0.54% and significantly improving system stability and reliability. …”
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Model-Free Adaptive Fast Integral Terminal Sliding Mode Control for Permanent Magnet Synchronous Motor with Position Error Constraint by Xingyu Qu, Shuang Zhang, Chengkun Peng

“…To address these challenges, this paper proposes a prescribed performance model-free adaptive fast integral terminal sliding mode control (PP-MFA-FITSMC) method. This approach replaces conventional techniques such as parameter identification, function approximation, and model reduction, offering advantages such as quantitative constraints on the PMSM tracking error, reduced chattering, strong disturbance rejection, and ease of engineering implementation. …”
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LAW DISTRIBUTION APPROXIMATION ON EIGENSTATE ERRORS OF ADS-B BASED ON CUMULANT ANALYSIS OF ADS-B-RAD SYSTEM DATA DISPARITY by V. L. Kuznetsov, A. A. Tarakanov

“…The article deals with a new approximation method for enhanced accuracy measurement system errors distribution. …”
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column:Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast Error by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…This paper proposed a flexibility regulation capability assessment method for hydropower systems to address low output in mid-term extreme forecast errors of renewable energy under extreme drought conditions. …”
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Optimization Design of the High-speed Gear Web Structure of Electric Vehicles Based on Numerical Simulation by Wang Peng, Yu Lei, Huang Chao

“…The staggered plate spoke structure optimized using the method described in this study, under the same quality conditions, compared to the common circular weight reduction hole plate structure, increases the first modal frequency of the gear by 72% and reduces the transmission error by 18%. …”
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Prediction of heterogeneous nucleation condensation effect on the surface of respiratory coal dust and test of dust reduction test by Hanyi LIN, Liang YUAN, Bingyou JIANG, Yuqian ZHANG, Yifan WANG, Haoyu WANG

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Study on the electrocatalytic CO2 reduction performance of covalent organic framework materials based on machine learning by Zhang Xiangying, Wang Sitan

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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…This study introduces a novel data-driven approach utilizing a comprehensive suite of machine learning (ML) methods—including random forest, decision tree, adaptive boosting, ensemble learning, K-nearest neighbors, multilayer perceptron artificial neural networks, convolutional neural networks, and support vector machines—to provide robust predictions of permeability reduction. …”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

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Study on Noise Reduction of Hydrostatic Leveling Signals for Wind Turbine Foundations Based on CEEMDAN-SG Algorithm by Renjie Li, Xiangxing Lu, Zhixin Song, Huanwei Wei, Fang Tan, Zhonghua Liu

“…The results demonstrate that the joint noise reduction method exhibits significant advantages compared to the individual CEEMDAN and SG algorithms. …”
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Changes in medication administration error rates associated with the introduction of electronic medication systems in hospitals: a multisite controlled before and after study by Ling Li, Johanna I Westbrook, Peter Gates, Amanda Woods, Magdalena Z Raban, Neroli S Sunderland

“…Background Electronic medication systems (EMS) have been highly effective in reducing prescribing errors, but little research has investigated their effects on medication administration errors (MAEs).Objective To assess changes in MAE rates and types associated with EMS implementation.Methods This was a controlled before and after study (three intervention and three control wards) at two adult teaching hospitals. …”
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