Assembly Quality Control Technologies in Forced Clamping and Compensation Processes for Large and Integrated Aeronautical Composite Structures by Feiyan Guo, Qiangwei Bao, Jialiang Liu, Xiliang Sha

“…As a result, in practical engineering, the forced method of applying a local clamping force is inevitably adopted to passively reduce and compensate for assembly errors. …”
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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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Harmonizing measurement tools: examining the concurrent validity of the Daily Activity Behaviors Questionnaire compared to the ActiGraph to assess 24-hour movement behaviors among... by Iris Willems, Vera Verbestel, Dorothea Dumuid, Patrick Calders, Bruno Lapauw, Marieke De Craemer

“…Interaction effects between sociodemographic variables and the measurement methods were explored in mixed models. All analyses were compared by four commonly used data processing methods for ActiGraph data (cut-points and data reduction method-specific). …”
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Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…The heat flow meter method was employed to verify its accuracy. Furthermore, correlation analysis was conducted on various testing parameters across different building cases and temperature-difference ranges. …”
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Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan by Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho

“…Moreover, we introduce a novel geodesic heatmap that effectively captures the point distribution of 3D shapes, even in the presence of variations in scanning pose. As a result, our method provides the lowest average detection error on the SHREC’14 dataset over the six anthropometric landmarks, demonstrating a maximum error reduction of 76.14%. …”
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Isotherms and thermodynamic properties of water adsorption in ‘Cumari-do-Pará’ pepper seeds by Karen C. Rodrigues, Hellismar W. da Silva, Isneider L. Silva, Samuel G. F. dos Santos, Daniel P. da Silva, Renato S. Rodovalho

“…The equilibrium moisture contents were obtained by the static gravimetric method at temperatures of 30, 35 and 40 °C and water activities between 0.290 and 0.900 (decimal). …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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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

“…Here, we report a handheld microinjector with two fiber-optic distance sensors and time-delay control (TDC) to mitigate nonlinear disturbances during the injection task. The conventional method exhibited a cosine error of approximately 77 μm at an angle of 45°, whereas our proposed needle reduced measurement errors to ∼6 μm. …”
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Hybrid Hunger Games Search optimization using a neural networks approach applied to UAVs by Nadia Samantha Zuñiga-Peña, Salatiel Garcia-Nava, Norberto Hernandez-Romero, Juan Carlos Seck-Touh-Mora

“…The simulation results obtained with a Super Twisting Sliding Mode Controller (STSMC) show a reduction in the final tracking error from RMSE=0.0480 with HGS to RMSE = 0.0204 by NNHGS, along with enhanced disturbance rejection and rapid adaptation to parameter changes. …”
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Application of intelligence models based on soft computing in investigating the discharge coefficient of the sluice gate under free-flow condition and symmetrical sill with the hel... by H.R. Abbaszadeh, Y. Hassanzadeh, R. Daneshfaraz, R. Norouzi

“…The use of sills with the gates leads to a reduction in the height of the gate. The sills affect the flow and change quantities, especially the discharge coefficient. …”
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Personalized prediction model generated with machine learning for kidney function one year after living kidney donation by Rikako Oki, Toshihio Hirai, Kazuhiro Iwadoh, Yu Kijima, Hiroyuki Hashimoto, Yasunori Nishimura, Taro Banno, Kohei Unagami, Kazuya Omoto, Tomokazu Shimizu, Junichi Hoshino, Toshio Takagi, Hideki Ishida, Toshihito Hirai

“…The ML model demonstrated a median absolute error of 0.079 mg/dL for predicting Cre. In the validation cohort, it outperformed conventional methods (which assume post-donation eGFR to be 70% of the preoperative value) with higher R2 (0.58 vs. 0.27), lower root mean squared error (5.27 vs. 6.89), and lower mean absolute error (3.92 vs. 5.8). …”
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ALS+PDR: Indoor Pedestrian Dead Reckoning Using a Smartphone Ambient Light Sensor by Sosuke Otsuka, Yusei Onishi, Mananari Nakamura, Hiromichi Hashizume, Masanori Sugimoto

“…The results indicated an average error of 11.30 m when only PDR was used, with a substantial reduction to 2.03 m when the proposed method was used. …”
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Motion estimation algorithm using 2 bit-depth pixel and fuzzy quantization by Chuan-ming SONG, Yan-wen GUO, Xiang-hai WANG, Dan LIU

“…To further predict the precision of the proposed algorithm, a bit resolution reduction error-motion vector precision model was built by exploiting the auto-correlation function. …”
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Prediction of Freezing Time During Hydrogen Fueling Using Machine Learning by Ji-Ah Choi, Ji-Seong Jang, Sang-Won Ji

“…This study presents a method for predicting nozzle surface temperature and the timing of frost formation during hydrogen refueling using machine learning. …”
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Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age by Simon Ball, Felicity Evison, Laurie Lucas, Tanya Pankhurst, Richard Baker, Suzy Gallier, Jamie J Coleman, Ian Young, Anwar Shah, Steve Ryan, Helen Gyves, David Rosser, Chris Ragdale, Louise Denner, Laura Rathbone, Deborah McKee, Jolene Atia, Mark Garrick

“…This was an extension to the existing hospital wide digital health system. We evaluated error reduction, time-savings and the costs associated with conversion from paper to digital records. …”
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Fuzzy logic-based simulation of a weighted integrated GNSS receiver for mitigating blocking interference effects by K. Bahmani, M.R. Mosavi, A. Sadr

“…Specifically, an average improvement of 36.50% in Root Mean Square (RMS) error and a 31.10% reduction in Geometric Dilution of Precision (GDOP) have been observed compared to the Least Squares (LS) method.…”
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Autoencoder-Driven Fiducial Landmark Identification in 3D Brain MRI for Neuroimaging Alignment by G. Deepali, H. Anitha, B. P. Swathi, M. V. Suhas

“…In this work, we propose a deep learning-based framework using autoencoders to automatically detect fiducial markers in 3D brain MRI scans. The method integrates a structured preprocessing pipeline, including intensity normalization, spatial resampling, and noise reduction, to ensure data consistency. …”
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Unsupervised Multimodal UAV Image Registration via Style Transfer and Cascade Network by Xiaoye Bi, Rongkai Qie, Chengyang Tao, Zhaoxiang Zhang, Yuelei Xu

“…This paper proposes a novel multi-scale cascaded registration network based on style transfer that achieves superior performance: up to 67% reduction in mean squared error (from 0.0106 to 0.0068), 9.27% enhancement in normalized cross-correlation, 26% improvement in local normalized cross-correlation, and 8% increase in mutual information compared to state-of-the-art methods. …”
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Optimized bio-signal reconstruction and watermarking via enhanced fractional orthogonal moments by Gaber Hassan, Khalid M. Hosny, Islam S. Fathi

“…The findings indicate that the proposed methodology exhibits significantly higher performance levels than current methodologies, with a 64.3% improvement in PSNR (reaching 147.08 dB compared to 89.74 dB in existing approaches), 89.7% reduction in MSE (0.0092 versus 0.09 average), and 84.1% decrease in bit error rate (0.25 versus 1.57) for watermarking applications. …”
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Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM by Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen

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