An efficient multiscale simulation framework integrating dynamic heterogeneity for accurate waterflooding prediction by Li Wu, Junqiang Wang, Deli Jia, Jiqun Zhang, Ruichao Zhang, Yiqun Yan, Yanfang Yin, Shuoliang Wang

“…SPE10 benchmark validation shows 95.07% reduction in total simulation time and 98.19% in linear solver time versus the fully implicit method, with errors < 5%. …”
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Characteristics prediction and optimization for fan duct surface heat exchanger using regional heat transfer correlation and NSWOA aided by Sobol’ by Zhe Xu, Zongling Yu, Xin Ning, Changyin Zhao, Zhihua Zhu, Zhibin Feng

“…Compared to experimental data, the average relative errors of heat transfer capacity and oil-side pressure drop prediction are 9.39 % and 8.39 %, respectively, which indicates that this method is feasible and reliable. …”
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Adding Data Quality to Federated Learning Performance Improvement by Ernesto Gurgel Valente Neto, Solon Alves Peixoto, Valderi Reis Quietinho Leithardt, Juan Francisco de Paz Santana, Julio C. S. Dos Anjos

“…Poor-quality data introduces errors, delays convergence, and increases computational costs. …”
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Improvement of Positive and Negative Feedback Power Hardware-in-the-Loop Interfaces Using Smith Predictor by Lucas Braun, Jonathan Mader, Michael Suriyah, Thomas Leibfried

“…Experimental results show a reduction in phase shift by 21.17° and attenuation improvement of 24.3% for V-PCD at a sample time of 100 µs. …”
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Contributions to increasing the accuracy and reducing the forming forces of robot-based two-point incremental forming by Scholz Peter, Weise Dieter, Pierer Alexander, Naumann Christian, Dix Martin, Terlau Marina, von Freyberg Axel, Fischer Andreas

“…Based on the measurement, a robot position correction will be enabled to achieve a reduction of machine-dependent component tolerances. …”
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Eye movements during the Iowa Gambling Task in Parkinson’s disease: a brief report by Kirby Doshier, Anthony J. Ryals, Vicki A. Nejtek, Michael F. Salvatore, Jerome Lisk

“…PD participants exhibited a 72% reduction in blinks despite equivalent outcomes in other eye-movements. …”
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A high-precision 1 × 15 infrared temperature measurement linear array based on thermopile sensors by Jindong Bai, Wenhang Yang, Shouzheng Zhu, Haijun Jin, Yuchen Zhang, Ke Jin, Xiaoshuai Liu, Chunlai Li, Jianyu Wang, Hongxing Qi, Shijie Liu

“…On the FPGA control board, a multiparameter temperature compensation algorithm is used to address intrinsic temperature differences and consistency errors among the sensors. Compared with the traditional two-point calibration method, the temperature measurement accuracy of the proposed method reaches 26 mK in the temperature range of 293–303 K, the maximum repeatability error of the sensor is less than 5.5 mK, and the non-uniformity error between 15 sensors is less than 11.9 mK. …”
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Real-Time TECS Gain Tuning Using Steepest Descent Method for Post-Transition Stability in Unmanned Tilt-Rotor eVTOLs by Choonghyun Lee, Ngoc Phi Nguyen, Sangjun Bae, Sung Kyung Hong

“…Simulation results demonstrate that the SD-TECS approach significantly improves control performance compared to the default PX4 TECS, achieving a 35.5% reduction in the altitude settling time, a 57.3% improvement in the airspeed settling time, and a 66.1% decrease in the integrated altitude error. …”
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SAFETY, QUALITY CONTROL, AND SUSTAINABILITY IN CONSTRUCTION: EXPLORING THE NEXUS - A REVIEW by Joy Otibhor Olurin, Joachim Osheyor Gidiagba, Vincent Ebhohime Ehiaguina, Tina Chinyere Ndiwe, Gabriel Gbenga Ojo, Oluwaseun Ayo Ogunjobi

“…Quality control, herein, is discussed in relation to its pivotal role in minimizing errors and rework, ensuring adherence to standards, and facilitating the attainment of sustainability goals through resource efficiency and waste reduction. …”
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The effect of a vegetation period on protein percentage in seed of the pea collection samples by A. R. Ashiev, K. N. Khabibullin, M. V. Skulova

“…The construction of graphs with errors for groups of leafy morphotypes revealed samples with a protein percentage of more than 25.0 %. …”
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Assessing doming mitigation strategies for enhanced inspection of masonry retaining walls with SfM as a cost-effective 3D imaging solution by Maxwell Wondolowski, Alexandra Hain, Sarira Motaref, Michael Grilliot

“…SfM models not initially exhibiting doming displayed an average of 5.8 mm (0.23 in) root mean square error (RMSE) when compared to TLS baselines. The errors in SfM models that exhibited doming were improved with the addition of ground control points, resulting in a 46% reduction in error. …”
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Integrating Design for Manufacturing and Assembly Principles in Modular Home Construction: A Comprehensive Framework for Enhanced Efficiency and Sustainability by Sadaf Montazeri, Nicole Odo, Syed Abdul Wasey Naqvi, Zhen Lei

“…The findings indicated that implementing design for manufacturing and assembly principles led to a 40% reduction in design phase duration and a 48% decrease in production errors. …”
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O-Arm Imaging With Real-Time Control for Organ Motion Tracking: A Feasibility Study by Ashkan Ghorbanian, Mobin Salehi, Mohammad Sajad Sokout, Borhan Beigzadeh

“…The tracking accuracy of the applied control system can maintain errors within 1mm for the X- and Y-axis, and 1.5mm for the Z-axis after two respiration cycles for an ideal model of the respiration; such error for the Z-axis is about 2mm for actual respiration data. …”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Compared to the suboptimal approach, MODNet, our SFMattingNet method achieved an average error reduction of 12.65% in the smoke and fire matting task.…”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…Initially, four individual TMR sensors exhibited mean absolute error (MAE) of 4.709°, 5.632°, 2.956°, and 1.749°, respectively. …”
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Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance by Hamideh Norouzi, Mohammad Reza Daliri

“…Notably, the transition probability (TP) from D+ to D‐ during the memory duration correlated with saccade errors, indicating a behavioral predictive capacity. …”
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Bridging the Gap: A Review of Machine Learning in Water Quality Control by Herlina Abdul Rahim, Nur Athirah Syafiqah Noramli, Indrabayu

“…., 85% accurate algal bloom prediction 7 days in advance) and operational optimization (15% cost reduction in wastewater treatment). Hybrid frameworks such as sensor fusion systems (reducing measurement errors by 83%) and digital twins (preventing 60% of public health risks during contamination events) demonstrate transformative potential by bridging these approaches. …”
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Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand by Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai

“…It achieved a 3% opportunity loss reduction and 3% less relocation trips, reducing human effort by 17 man-hours/week.…”
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Assessing the Efficiency of Reduced Positional Games in Soccer: A Multivariate Analysis of Technical and Tactical Indicators According to Different Playing Systems by Mostafa Errama, Mustapha Bassiri, Jafaar Atifi, Said Lotfi

“…It seeks to determine how RPG optimize key indicators such as possession, passing, shooting, goals scored and error reduction, while exploring their influence on tactical synchronization and team cohesion. …”
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A Double-Cladding Single Polarization Photonic Crystal Fiber and Its Structure Deviation Tolerance by Yating Shen, Longfei Wang, Meisong Liao, Yinyao Liu, Fei Yu, Dakun Wu, Wanjun Bi, Yongzheng Fang, Weiqing Gao

“…The influence of realistic fabrication errors involving structure deviation on SPSM operation has also been systematically investigated.…”
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