A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method by Arun Kumar, Aziz Nanthaamornphong

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A cutter contacting point trajectory prediction method combining harmonic functions and dimensionality reduction for improving machining precision in flat-end milling by Liangji Chen, Haohao Xu, Huiying Li, Hansong Gao, Haixiong Wang

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Enhancing laparoscopic surgery training: a comparative study of traditional models and automated error detection system by Yitian Luo, Jingjie Wang, Zongting Yan, Jingjing He, Liye Fu, Shenghan Wang, Ying Han, Yaoyu Fu, Xiandi Wang, Kang Li, Rong Yin, Dan Pu

“…Traditional training models rely on subjective instructor evaluations, which are time-consuming and lack objective error detection. This study evaluates the efficacy of an Automated Error Detection System (AEDS), designed to provide real-time feedback on mistouch error counts, in improving laparoscopic skill acquisition compared to conventional methods. …”
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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…A tool lifetime prediction method based on AVMD-DAMResNet is proposed. The method first adapts the parameters of the variational modal noise reduction algorithm using an improved sparrow optimization algorithm, and then reconstructs the original vibration signal with noise reduction. …”
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Joint Event Density and Curvature Within Spatio-Temporal Neighborhoods-Based Event Camera Noise Reduction and Pose Estimation Method for Underground Coal Mine by Wenjuan Yang, Jie Jiang, Xuhui Zhang, Yang Ji, Le Zhu, Yanbin Xie, Zhiteng Ren

“…The maximum absolute trajectory error of the localization method is 2.365 cm, and the mean square error is reduced by 2.263% compared with the unfiltered event localization method.…”
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A tied-weight autoencoder for the linear dimensionality reduction of sample data by Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee

“…Abstract Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. …”
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A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…For the curved workpiece, the convergence ratio is improved by 25.7%, with an 80% reduction in the alignment time. The proposed method offers both theoretical and practical support for high-precision, high-efficiency MRF and intelligent optical manufacturing.…”
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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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Error Analysis and Artificial Intelligence: Exploring Error Monitoring and Error Treatment Possibilities in EFL by Manuel Macías Borrego

“…Abstract: This paper endeavors to investigate the potential synergy between new Artificial Intelligence (AI) tools and Error Analysis in, primarily, serving as a tool to enhance the process of error analysis aiming at error remediation (avoiding error fossilisation) while, secondly, enhancing the assessment methods employed by teachers of English as a Foreign Language (EFL) within the context of a university course targeting B2 proficiency level, as per the Common European Framework of Reference for Languages (CEFR). …”
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Flexible reamer use to overcome entry point errors in proximal femoral nail application in severe obese intertrochanteric fracture patients by Levent Horoz, Ali Ihsan Kilic, Cihan Kircil, Mehmet Fevzi Cakmak

“…Abstract Introduction Proximal femoral nailing (PFN) offers biomechanical benefits for intertrochanteric fractures but can lead to higher complication rates from poor reduction and technique errors, particularly in obese patients. …”
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A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet by Wei Kou, Rui Zhou, Hongmiao Zhang, Jianwen Cheng, Chi Zhu, Shaolong Kuang, Lihai Zhang, Lining Sun

“…The proposed method will improve the accuracy of anatomical feature points extraction, enhance intra‐operative registration precision and facilitate the widespread clinical application of robot‐assisted pelvic fracture reduction.…”
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Modeling the effect of building information modeling (BIM) in reducing rework in construction projects using structural equations method by malihe zoghi, ohamad jafar fesharaki, mehrdad Hemasian ettefagh

“…The use of the structural equation research method to influence the relationship between variables in this research showed that identifying errors and recording them at the right time and place can lead to a reduction in rework in project implementation. …”
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Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System by Sajid Bashir, Sammana Batool, Muhammad Imran, Mian Ilyas Ahmad, Fahad Mumtaz Malik, Muhammad Salman, Abdul Wakeel, Usman Ali

“…The proposed work produces steady and precise outcomes in contrast to conventional reduction methods, which shows the efficacy of the proposed algorithm.…”
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A solving new method for the urea-selective catalytic reduction (SCR) system in a diesel engine using coupled hyperbolic-parabolic partial differential equations (PDEs) by Wenlong Liu, Ying Gao, Yuelin You, Changwen Jiang, Taoyi Hua, Bocong Xia

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A new method for describing the change of the laser beam axis trajectory in the Anderson differential cuvette to measure the refractive index of liquids by V.V. Davydov, D.S. Provodin, A.A. Gol’dberg, I.D. Kochetkov

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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…Results show that OA2DD improves the convergence curve and reduces the number of selected features by up to 50 %, leading to a 56 % reduction in computational costs. Furthermore, using the selected features from OA2DD, reduced the prediction error by up to 29 % compared to the full feature set and other feature selection methods, demonstrating the method's effectiveness and robustness.…”
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A Point Cloud Registration Method Based on Point-to-Triangulation Estimation for Optical Window Free-Form Surfaces Testing by Coordinate Measuring Machine by Chuanchao Wu, Junjie Shi, Taorui Li, Haijiao Huang, Fudong Chu, Siyuan Jiang, Longyue Li, Chiben Zhang

“…Further, in the experiment, the PV surface error was reduced from 27.3 μm to 6.9 μm, equivalent to a reduction of 3.95 times. …”
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Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

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Conformal symplectic and constraint-preserving model order reduction of constrained conformal Hamiltonian systems by Vidushi Sachan, Ashish Bhatt

“…Moreover, we derive a priori error bounds for state space and constraints errors. …”
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The MAR method versus the visual estimation method in predicting external blood loss: a randomized controlled study by Betul Akbuga Ozel, Gurkan Ozel, Elmas Burcu Mamak Ekinci, Ahmet Eren Demirtola, Gizem Sahin, Gokcen Aksoy, Ilke Yanikyurek, Mehmet Ufuk Karaaslan

“…Improvement in estimations after the MAR method was evidenced by a reduction in errors relative to the actual blood volumes, and this was statistically significant. …”
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