Dynamic Error Modeling and Predictive Compensation for Direct-Drive Turntables Based on CEEMDAN-TPE-LightGBM-APC Algorithm by Manzhi Yang, Hao Ren, Shijia Liu, Bin Feng, Juan Wei, Hongyu Ge, Bin Zhang

“…These findings conclusively establish the method’s effectiveness in significantly enhancing accuracy while maintaining prediction stability and operational efficiency, underscoring its considerable theoretical and practical value for error compensation in precision mechanical systems.…”
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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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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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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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Optimization Design of the Two-Stage Reduction Micro-Drive Mechanism Based on Particle Swarm Algorithm by Na Zhang, Dongmei Wang, Kai Li, Kaiyang Wei, Hongyu Ge, Manzhi Yang

“…The analysis results demonstrated that the mechanism met the design requirements in terms of strength and dynamic properties, with a maximum error of 9.02% and a maximum kinematic error of 0.0267 μm. …”
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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

“…The k-Nearest Neighbour (k-NN) method was used to estimate both timber assortments and species-specific sawlog proportions. …”
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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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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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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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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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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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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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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 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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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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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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