A syllable-character collaborative model for enhanced Pinyin and Chinese recognition. by Zeyuan Chen, Cheng Zhong, Danyang Chen

“…Additionally, we design a Pinyin-Ensemble module that employs an ensemble learning approach to reduce pinyin recognition errors, which in turn leads to a reduction in text recognition errors. …”
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Demonstration of Measurement-Enhanced State Preparation and Erasure Conversion in a Molecular Tweezer Array by Connor M. Holland, Yukai Lu, Samuel J. Li, Callum L. Welsh, Lawrence W. Cheuk

“…For these applications, the reduction and mitigation of errors remain major challenges. …”
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Time-Frequency Analysis and Neural Network-Based Multipath Mitigation Method for Precise Positioning by Min-Ji Kim, O-Jong Kim, Jikang Lee, Changdon Kee, Juhyun Maeng

“…Experiments conducted under challenging indoor conditions demonstrate an approximately 30% reduction in the positioning error after applying the proposed multipath mitigation methods.…”
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Observable-driven speed-ups in quantum simulations by Wenjun Yu, Jue Xu, Qi Zhao

“…For short-time simulations, we deliberately design and tailor product formulas to achieve size-independent errors for local and certain global observables. In arbitrary-time simulations, we reveal that Pauli-summation structured observables generally reduce average errors with a typically quadratic error reduction. …”
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An improved calibration method for magnetic sensor of multipoint inclinometer by Yi ZHANG

“…In order to improve the calibration accuracy of the inclinometer and its adaptability to random errors, aiming at the problems that the current multi-position calibration method of the inclinometer does not consider the effect of symmetry on error reduction, the measurement error is introduced in angle rotation correction, and the calibration time is reduced, a multi-point calibration and error simulation method is first established. …”
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Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…The comparative results demonstrate that, while satisfying the positioning error requirements, our proposed method achieves a reduction of over 1.5% in total flight distance for maritime UAVs compared to the NSGA-II algorithm.…”
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Learning to rank quantum circuits for hardware-optimized performance enhancement by Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael Hush, Michael J. Biercuk, Yuval Baum

“…In particular, we find that our best model leads to a $1.8\times$ reduction in selection error when compared to the baseline approach and a $3.2\times$ reduction when compared to random selection. …”
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Understanding the Role of Robotic Process Automation in Healthcare by Octavian Constantin IORDACHE, Sebastian Aurelian ŞTEFĂNIGĂ

“…The study follows a design and implementation approach, evaluating the system's efficiency in terms of error reduction, processing speed, and data integrity compared to manual processing methods. …”
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Prediction of cable deformation from 3D point cloud for robot motion planning by Kaoru KITAJIMA, Masaaki MAEDA, Daiki KAJITA, Hiroki TAKEDA, Daisuke TSUTSUMI

“…However, determining the appropriate threshold value usually involves trial and error. To address this issue, this study proposed threshold determination methods that account for discrepancies in part shape, part existence and measurement errors. …”
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Fuzzy decision support system for english language teaching with corpus data by Meilin Huang

“…This system focuses on identifying and providing solutions for lexical placement errors. Focusing on the progression of English teaching with high-quality outputs, lexical arrangement, and error reduction is pursued. …”
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Handheld motorized injection system with fiber-optic distance sensors and adaptive time-delay controller by Jintaek Im, Sukho Park, Cheol Song

“…Also, TDC-based position regulation is designed to adaptively apply motor inputs by estimating disturbances during the handheld task and achieving fast system responses with minor control errors. Phantom studies show a maximum reduction of 26.5% in root-mean-square error (RMSE) compared to the existing approach. …”
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Assessment of public knowledge of improper application aspects of topical drug preparation use: A cross-sectional study by Anmar Al-Taie, Omnia Hamdy Ahmed Ahmed Elqersh

“…These errors can result in treatment failure, a reduction in therapeutic response and subpar disease control. …”
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Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions by Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan

“…Comparative analysis with four recurrent neural network (RNN) models demonstrates the superiority of the refined Transformer models over RNNs: iTransformer reduces mean absolute error (MAE) and root mean square error (RMSE) by 29.55% and 25.80% (latitude), 50.31% and 46.18% (longitude), 8.71% and 9.98% (pressure), and 8.68% and 9.45% (wind speed), while TVFormer achieves MAE and RMSE reductions of 13.98% and 13.84% (latitude), 39.11% and 38.02% (longitude), 13.69% and 14.02% (pressure), and 12.84% and 12.94% (wind speed) on average. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

“…On the long-term prediction task at station JC03, it achieves a 37.9% reduction in Root Mean Square Error (RMSE), a 32.4% decrease in Mean Absolute Error (MAE), and a 4.6% increase in the coefficient of determination (R2) compared to the baseline LSTM. …”
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Predictability Limit of the 2021 Pacific Northwest Heatwave From Deep‐Learning Sensitivity Analysis by P. Trent Vonich, Gregory J. Hakim

“…The advent of deep‐learning frameworks enables a new approach using backpropagation and gradient descent to iteratively optimize initial conditions, minimizing forecast errors. We apply this approach to the June 2021 Pacific Northwest heatwave using the GraphCast model, yielding over 90% reduction in 10‐day forecast errors over the Pacific Northwest. …”
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Hysteresis and Eddy Currents Effects Simulation in Idling Mode of the Transformer by Yarymbash D.S., Kotsur M.I., Yarymbash S.T., Divchuk T.Ye.

“…The design parameters errors of the power transformer in idle mode can reach 15-20%. or more, because engineering techniques disregard the all factors. …”
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Development of mean wind retrieval methodology for the Generalized Velocity Track Display by Tsung-Jung Lee, Shao-Chin Huang, Wen-Chau Lee, Ben Jong-Dao Jou, Chih-Chien Tsai, Yi-Chiang Yu, Yu-Cheng Kao, Ting-Yu Cha

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An Efficient Large-Scale 3D Map Stitching Algorithm Using Automatic Overlapping Area Identification by Hsien-I Lin, Muhammad Ahsan Fatwaddin Shodiq, An-Kai Jeng, Chun-Wei Chang

“…In terms of accuracy, the proposed method reduces translation error to 0.1723m and rotation error to 0.1763°, representing decreases of 5.28% and 16.16%, respectively, while manual selection results in a translation error of 0.4278m and rotation error of 0.7123°, increases of 135.25% and 238.75% respectively, compared to the entire maps 0.1819m and 0.2103°.…”
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UAV-Assisted Localization of Ground Nodes in Urban Environments Using Path Loss Measurements by Yaser Bakhuraisa, Heng Siong Lim, Yee Kit Chan, Muhammad Hilman

“…This paper proposes a distance estimation error reduction framework to improve ground node localization accuracy in urban environments using an unmanned aerial vehicle (UAV) and path loss measurements. …”
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THE SOLUTION TO THE EQUATION OF THE SHOCK WAVE BURGERS IN THE PTC MATHCAD ENVIRONMENT by R. E. Oleynikova

“…The system of equations of ordinary differential equations is integrated by means of the Euler computational scheme, and the step size is maintained small enough that the errors associated with numerical integration are negligible in comparison with the approximation error. …”
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