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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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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Load Reduction Control Technology of Large-scale Wind Turbine Based on Individual Pitch Control by LIU Hongwen, WAN Yubin, LIU Chunxiu, DU Jiajia, WANG Dian, JIANG Tao

“…In order to reduce the imbalance load of large wind turbine during operation due to factors such as wind shear, tower shadow, turbulence and yaw error, a load reduction control technology based on individual pitch control is proposed. …”
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A Data-Driven Noise Reduction Method and Its Application for the Enhancement of Stress Wave Signals by Hai-Lin Feng, Yi-Ming Fang, Xuan-Qi Xiang, Jian Li, Guan-Hui Li

“…In this paper we describe an efficient noise reduction method. EEMD is used to decompose a signal into several intrinsic mode functions (IMFs). …”
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A Dynamic Offset Reduction Technique to Mitigate the Effect of Threshold Mismatch in Energy Efficient Comparators by Bibhudutta Satapathy, Amandeep Kaur

“…This work proposes an energy-efficient offset reduction technique for dynamic comparators. An additional capacitor and four transistors are used to minimize the effect of threshold mismatch by dynamically sampling the common mode and differential signals. …”
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Stability Analysis of Slope with Multiple Sliding Surfaces Based on Dynamic Strength-Reduction DDA Method by Shuhong Wang, Chengjin Zhu, Pengyu Wang, Zishan Zhang

“…Based on the relative displacement between blocks, the dynamic strength reduction-discontinuous deformation analysis (hereinafter referred to as DSR-DDA) method is proposed for studying slopes with multiple sliding surfaces. …”
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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

“…Experimental results demonstrate that data clustering with dimensionality reduction can improve the performance of baseline models. …”
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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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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…We present a Self-Learning Type-2 Fuzzy System with adaptive rule reduction that optimizes the rule base as forecast accuracy begins to deteriorate after adaptation. …”
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Numerical and Experimental Analysis of Base Cavity and Windshield Angle for Aerodynamic Drag Reduction of a Bus by Daniel Hailu Aseba, Ramesh Babu Nallamothu, Abraha Kahsay

“…The drag coefficient results revealed an average error percentage of 6.09% between the CFD and wind tunnel tests. …”
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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller by Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid

“…Experimental results demonstrate that the PSO-optimized PID controller achieves a 20% reduction in settling time and a 14.68% improvement in Integral Square Error (ISE) compared to conventional tuning methods. …”
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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

“…This study aimed to estimate timber assortment reduction and sawlog proportions by integrating in situ tree quality information and remote sensing-based forest management inventory estimates in clear-cutting areas. …”
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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

“…Conclusion: According to the findings in this study, action errors (with highest frequency) and checking errors (with highest unacceptable risk level) should be control and prioritized for error reduction program. …”
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Dilemma of Responsibility-Sensitive Safety in Longitudinal Mixed Autonomous Vehicles Flow: A Human-Driver-Error-Tolerant Driving Strategy by Hongsheng Qi

“…To avoid the polylemma scenario, the manuscript proposes a human error-tolerant (HET) driving strategy, wherein AVs maintain an additional gap and prepare for moderate deceleration to account for potential errors by human drivers. …”
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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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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. The paper also establishes the error of a function associated with the class of absolutely continuous functions using first-kind pseudo-Chebyshev wavelets via orthogonal projection operators, highlighting their precision and theoretical optimality within the domain of wavelet analysis. …”
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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

“…It is only possible to compare the systems’ one-shot measurements, which are called errors here. The article considers that the distribution of robust measurement system errors probability density (the system that has been continuously in operation) is known, the histogram of errors is given and it is needed to obtain an asymptotic estimate of errors occurrence distribution for a new improved measurement system.This approach is based on cumulant analysis of measurement systems error distribution functions. …”
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An Adaptive Variance Adjustment Strategy for a Static Background Error Covariance Matrix—Part I: Verification in the Lorenz-96 Model by Lilan Huang, Hongze Leng, Junqiang Song, Dongzi Wang, Wuxin Wang, Ruisheng Hu, Hang Cao

“…Variational data assimilation relies on a static background error covariance matrix (<b>B</b>), yet its variance estimation is often inaccurate, affecting assimilation and forecast performance. …”
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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

“…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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