Lightweight SCD-YOLOv5s: The Detection of Small Defects on Passion Fruit with Improved YOLOv5s by Yu Zhou, Zhenye Li, Sheng Xue, Min Wu, Tingting Zhu, Chao Ni

“…Compared with manual detection, the proposed model enhances detection efficiency by reducing errors caused by subjective judgment. It also achieves faster inference speed (26.66 FPS), and reductions of 9.6% in parameters and 8.6% in weight size, while maintaining high detection performance. …”
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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

“…The newly developed EXTEMPLAR‐ML model allows for exospheric temperature predictions at any location with one model and provides performance improvements over its predecessor. We achieve reductions in mean absolute error of 2 K on an independent test set while providing similar error standard deviation values. …”
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The Impact of Visual Perturbation Neuromuscular Training on Landing Mechanics and Neural Activity: A Pilot Study by Timothy R Wohl, Cody R Criss, Adam L Haggerty, Justin L Rush, Janet E Simon, Dustin R Grooms

“… # Results Following VPNT, LESS scores decreased by 1.5 ± 1.69 errors with a large effect size (0.78), indicating improved mechanics, and reductions in BOLD signal were observed in two clusters: 1) left supramarginal gyrus, inferior parietal lobule, secondary somatosensory cortex (p=.012, z=4.5); 2) right superior frontal gyrus, supplementary motor cortex (p<.01, z=5.3). …”
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Applicability of the “5S Management Method” for Quality Improvement at Health Care Facilities in India by Aesh Katiyar, Jay Patwa, Nikhil Chavda

“…Post-implementation, turnaround time decreased for case registration, pharmacy, and emergency room services while laboratory efficiency improved, accompanied by reductions in medical errors and hospital-acquired infections. …”
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Implementation of an Active Vibration Control System on a Cogeneration Plant by Emanuele Voltolini, Daniel Pinardi, Andrea Toscani, Marco Binelli, Angelo Farina, Jessica Ferrari, Andrea Zenaro, Stefano Maglia, Enrico Calzavacca

“…Usually, in these applications the control devices are loudspeakers, and the error signals come from microphones. In outdoor applications, this solution comes with some limitations, such as the ageing of the loudspeakers due to humidity, temperature, rain and dust, and the presence of wired connections between the error sensors and the control system. …”
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Elbow rotation affects the accuracy of rotational formulas: validation of a modified method by Yong Liu, Xiaoju Liang, Jianping Sun, Jining Qu, Bohai Qi, Yating Yang, Qiang Jie

“…Abstract Background Supracondylar humerus fractures (SCHFs) are the most common elbow fractures in children and are typically treated with closed reduction and Kirschner pin fixation. However, varying degrees of residual rotational displacement may remain after closed reduction. …”
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Novel Spatio-Temporal Joint Learning-Based Intelligent Hollowing Detection in Dams for Low-Data Infrared Images by Lili Zhang, Zihan Jin, Yibo Wang, Ziyi Wang, Zeyu Duan, Taoran Qi, Rui Shi

“…Furthermore, it attained a sub-10% cross-sectional calculation error for hollowing dimensions, outperforming maximum entropy (70.5% error reduction) and OTSU (7.4% error reduction) methods, which shows our method being one novel method for automated intelligent hollowing detection.…”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…Renewable energy sources (RES) are seen as a means of the fuel and energy complex carbon footprint reduction but the stochastic nature of generation complicates RES integration with electric power systems. …”
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Collaborative AI Dysarthric Speech Recognition System With Data Augmentation Using Generative Adversarial Neural Network by Yibo He, Kah Phooi Seng, Li-Minn Ang

“…Experiments conducted on the UASpeech corpus demonstrate a significant reduction in the word error rate (WER) compared to the baseline approach. …”
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Study on the effect of underlying surface changes on runoff generation in the urbanized watershed by Yunqiu Jiang, Lichun Wang, Tianning Xie, Runxi Li, Kejia Wen, Chengshuai Liu, Caihong Hu

“…(c) The land use types have changed significantly, mainly manifested as a substantial reduction of cropland and a sharp expansion of construction land. …”
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Theoretical analysis of the forming process of closed die forging with flash and optimization design method of flash gutter by Xiang Zhang, Volodymyr Borysevych

“…After verification and correction, the error in the optimized mathematical model did not exceed 10 %, and the flash amount was significantly reduced. …”
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Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images by Pingli Sun, Chenxia Wang, Min Li, Lanqi Liu

“…Film video noise can usually be defined as the error information visible on the video image, caused by the digital signal system. …”
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Development of the Ward Nurses' Perspective-taking of the Staff Receiving Discharged Patients Scale: An observational study of ward nurses. by Shingo Tanaka, Masatoshi Saiki, Yukie Takemura

“…The goodness-of-fit indices were as follows: comparative fit index, 0.95; root mean square error of approximation, 0.08; and standardized root mean squared residual, 0.06. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…This architecture achieves significant parameter reduction while enhancing local feature representation through optimized shift operations. …”
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Tri-manual interaction in hybrid BCI-VR systems: integrating gaze, EEG control for enhanced 3D object manipulation by Jian Teng, Jian Teng, Sukyoung Cho, Shaw-mung Lee

“…Experimental validation with eight participants across 160 trials demonstrated 87.5% virtual hand success rate and 41% spatial error reduction (σ = 0.23 mm vs. 0.39 mm) compared to traditional dual-hand control. …”
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Predictive modeling of hydrogen production and methane conversion from biomass-derived methane using machine learning and optimisation techniques by Adegboyega Bolu Ehinmowo, Bright Ikechukwu Nwaneri, Joseph Oluwatobi Olaide

“…The key process parameters studied include calcination temperature (450–600°C), time of calcination (3–8 h), specific surface area (5.4–249 m²/g), and pore volume (0.03–0.48 cm³/g); reduction temperature (500–700°C), time of reduction (1–5 h), and catalyst weight (0.05–1.00 g). …”
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Centralized Measurement Level Fusion of GNSS and Inertial Sensors for Robust Positioning and Navigation by Mohamed F. Elkhalea, Hossam Hendy, Ahmed Kamel, Ashraf Abosekeen, Aboelmagd Noureldin

“…Specifically, the TC algorithm demonstrated a remarkable reduction of over 90% in 2D position root mean square error (RMSE) and a 75% reduction in 3D position RMSE when compared to solutions utilizing the weighting matrix provided by Google with all visible satellites. …”
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A Convolutional Neural Network-Weighted Cellular Automaton Model for the Fast Prediction of Urban Pluvial Flooding Processes by Jiarui Yang, Kai Liu, Ming Wang, Gang Zhao, Wei Wu, Qingrui Yue

“…The CNN-WCA model with additional physical constraints exhibits a reduction of around 34% in instances of physical discontinuity compared to CNN. …”
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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

“…Extensive evaluations on the nuScenes dataset demonstrate the effectiveness of MS-SLV, achieving a 12.37% reduction in average displacement error and a 7.67% reduction in final displacement error over state-of-the-art methods. …”
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齿轮修形参数对变速箱传动特性影响的研究 by 杨本洋, 褚超美, 汤海川, 缪国

“…Focusing on the vibration and noise of gear transmission,taking Masta software as the analysis platform,by simulating and computing the modification of main reduction gear of a transmission,the effect relations between change of modification parameters such as tip relief,barreling relief and crowning relief with characteristic of gear transmission is obtained.The optimum modification parameters are selected based on the study of the law of gear transmission error and max contact pressure.Noise test result shows that the squeal of the transmission is reduced effectively after gear modification.…”
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