Enhancing the Accuracy of Jason-3 PWV Products Over Coastal Areas Using the Back Propagation Neural Network by Yangzhao Gong, Zhizhao Liu

“…Evaluated by the GNSS PWV, BPNN models can reduce the root mean square error (RMSE) of Jason-3 PWV in the coastal areas from 4.2 to 2.7 kg/m² (35.7% of RMSE reduction). …”
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Computational Fluid Dynamics Analysis of the Impacts of Air Supply Velocity Modes on the Differential Pressure Precooling Efficiency of Peaches Stored in Ventilated Packaging by CHEN Yingmin, LINGHU Boxiang, ZHAO Mingzhang, SONG Haiyan

“…This study provides a theoretical reference for small and medium-sized orchards to reasonably select air supply modes and accurately control the precooling efficiency of fruits.…”
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N.I. Vorobyev and his role in the formation of academic Tatar studies in Russian ethnology by Svetlana V. Suslova

“…In his landmark monograph The Kazan Tatars (1953), special attention is given to their close root connection with the local Bulgarian civilisation – the ethnocultural prehistory of the people. …”
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A Line Feature-Based Rotation Invariant Method for Pre- and Post-Damage Remote Sensing Image Registration by Yalun Zhao, Derong Chen, Jiulu Gong

“…In remote sensing images with large background and regional differences, the average registration precision of our method is close to 100%, and the root mean square error is about 1 pixel. At the same time, the rotation invariance of our method is verified by rotating the test images. …”
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Insights from model plants to improve cotton’s use of nitrogen and phosphorus by Yuanchun Pu, Peilin Wang, Mubashir Abbas, Asif Iqbal, Qiang Dong, Tong Luo, Qianqian Wang, Fei Cao, Meizhen Song

“…Generally speaking, we take model plants as a reference in the hope of coming up with new strategies for the efficient utilization of N and P in cotton. …”
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Study on the Microscale Tensile Properties of Lower Cambrian Niutitang Formation Shale Based on Digital Images by Huailei Song, Zhonghu Wu, Anli Wang, Wenjibin Sun, Hao Liu, Yili Lou, Yujun Zuo

“…The failure modes can be summarized as root-shaped (0° and 15°), step-shaped (30 and 45°), fishbone-shaped (60°), and river-shaped (75° and 90°) fracturing. …”
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Numerical and Experimental Investigation of Gas Turbine Rotor for Early Fault Detection by Muhammad Akhtar, Waqar Muhammad Ashraf, Nasir Hayat, Ghulam Moeen Uddin, Fahid Riaz

“…These key outcomes can be used to reduce rotary machine downtime by not only highlighting the problem at a very early stage but also swiftly identifying its root cause for the smooth working of rotary equipment in the industry.…”
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Reinforcement learning-based multi-model ensemble for ocean waves forecasting by Weinan Huang, Xiangrong Wu, Xiangrong Wu, Haofeng Xia, Haofeng Xia, Haofeng Xia, Xiaowen Zhu, Yijie Gong, Xuehai Sun

“…The algorithm was validated using two SWAN models results for China’s coastal regions, with ERA5 reanalysis data serving as a reference. Results show that the ensemble model significantly outperforms the base models in terms of root mean square error, mean absolute error, and bias. …”
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Hydrological performance of gridded meteorological products in Peruvian Altiplano basins by Efrain Lujano, Renny Daniel Diaz, Rene Lujano, Miguel Sanchez-Delgado, Apolinario Lujano

“…Using precipitation (P) and potential evapotranspiration (PET) data from AgERA5, ERA5-Land, MERRA-2, and PERSIANN-CDR, comparisons were made with 33 local meteorological stations using statistical metrics such as correlation coefficient (CC), root mean square error (RMSE), and percentage bias (PBIAS). …”
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Evaluation of Photoplethysmography-Based Monitoring of Respiration Rate During High-Intensity Interval Training: Implications for Healthcare Monitoring by Marjolein Muller, Kambiz Ebrahimkheil, Tara Vijgeboom, Casper van Eijck, Eelko Ronner

“…The PPG algorithm for RR monitoring showed an average root mean square (Arms) error of 2.13 breaths per minute (brpm), a bias of −0.09 brpm, and limits of agreement (LoA) from −4.28 to 4.09 brpm. …”
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Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China by Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, Qimeng Liu, Yu Liu

“…This study provides a scientific reference for disaster prevention and control in this area and its surrounding areas.…”
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The effect of cavity depth on accuracy of intraoral scanners in intra-coronal restorations by Yunus Emre Özden, Bengü Doğu Kaya, Çağla Akbal, Pınar Yılmaz Atalı, Zeynep Özkurt-Kayahan

“…Scans (n = 30) were performed using the Trios 3 intraoral scanner, and accuracy was assessed by comparing scanned models to reference models. Trueness was measured as the root mean square (RMS) deviation, and precision was calculated from the interquartile range of average absolute distances. …”
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Convection‐Permitting Climate Models Can Support Observations to Generate Rainfall Return Levels by B. Poschlod, J. Koh

“…We show that the additional information provided by the WRF model can improve the representation of 10‐year and 100‐year return levels of daily rainfall by lowering the percentage bias, mean absolute error, and root‐mean‐square error. Furthermore, we conduct an extensive cross‐validation, where only 5%, 10%, 20%, 50%, 80%, 90%, and 95% of all rain gauges are considered when building spatial GEV models. …”
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Mathematical model of errors in measuring the interframe displacement of a measuring mark on an observation object using video from a WEB camera by O.Ye. Gorshenin, M.O. Gorshenin

“…This paper develops and analyses a mathematical error model for estimating the potential accuracy of measuring the inter‑frame displacement of a reference marker captured by a WEB camera. The case is considered when the WEB video camera is installed at a distance of about tens of centimeters from the measuring mark. …”
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A theory and data-driven method for rapid bottom hole pressure calculation in UGS by Yang Li, Haiwei Guo, Xianfeng Gong, Naixin Lu, Kairui Zhang

“…Furthermore, the method provides a valuable reference for the application of deep learning in environments with limited samples.…”
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Intelligent 5G-Aided UAV Positioning in High-Density Environments Using Neural Networks for NLOS Mitigation by Morad Mousa, Saba Al-Rubaye

“…To address this, we propose a machine learning (ML) framework that integrates 5G position reference signals (PRSs) to correct UAV position estimates. …”
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Measurements and Characterization for Millimeter-Wave Massive MIMO Channel in High-Speed Railway Station Environment at 28 GHz by Shuangde Li, Yuanjian Liu, Leke Lin, Qi Sun

“…Furthermore, statistical distributions for root-mean-square delay spread (RMS DS) are investigated. …”
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Comparative Study on Prediction Models for Crack Opening Degree in Concrete Dam by HUANG Song, WU Jie, FANG Zhanchao, CHU Huaping, WU Yan'gang, XUE Zilong, HE Linbo

“…This study can provide a reference for the operation and management of the concrete gravity dam and the construction of the forecasting, early warning, drilling, and emergency plan (FEDE) platform, with a relatively high theoretical and practical significance.…”
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Isolation, Identification, and Control of Pathogenic Endophytic Fungi in <i>Nymphaea candida</i> Presl Tissue Culture by Yuwei Xing, Cong Liu, Xumeng Cui, Haonan Lv, Jun Wang

“…Compared with the stems and leaves, the roots of <i>N. candida</i> had the highest rates of fungal infection during tissue culture. …”
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Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole by Siqi Wang, Xinyu Hu, Rui Lu, Shuang Yan, Yunling Li, Daode Zhang

“…The results showed that the model had a goodness of fit of 0.725 to the experimental data, with an average absolute percentage error of 1.9%, a root mean square error of 16.3% and an average absolute error of 13.4%. …”
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