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  1. 1961
  2. 1962

    Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios With Foliage by Donggu Lee, Ozgur Ozdemir, Ram Asokan, Ismail Guvenc

    Published 2025-01-01
    “…Uncrewed aerial vehicles (UAVs) are expected to play a key role in 6G-enabled vehicular-to-everything (V2X) communications, requiring high data rates, low latency, and reliable connectivity for mission-critical applications. …”
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    Article
  3. 1963
  4. 1964

    Prognostic assessment of sarcopenia in patients with fractures: a systematic review and meta-analysis by Hejie Zheng, Tianhong Wang, Zhuoyang Li, Huimin Lu

    Published 2025-06-01
    “…Publication bias was evaluated through funnel plots, Egger’s test, Begg’s test, and the trim and fill method. Results Our pooled analysis of data from 30 studies, comprising 32 datasets, demonstrated that sarcopenia significantly elevated the risk of poor prognosis in fracture patients (OR 1.51, 95% CI 1.24–1.85), particularly, the risk of refracture (OR 1.66, 95% CI 1.36–2.03). …”
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    Article
  5. 1965

    Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

    Published 2025-02-01
    “…The precision of tree crown detection algorithms plays a critical role in providing reliable data for these applications, where even slight inaccuracies can lead to significant deviations in tree population estimates and ecological indicators. …”
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    Article
  6. 1966

    Multi-Dimensional Feature Fusion and Enhanced Attention Streaming Movie Prediction Algorithm by Hanqing Hu, Tianmu Tian, Chengjing Liu, Xueyuan Bai

    Published 2025-05-01
    “…Aiming at the challenges of multiple influencing factors, complex data characteristics, and limited data in streaming movie prediction, a feature fusion long- and short-term memory enhanced attention network (FFLSTMEA) was developed to achieve the short-term prediction of key indicators such as streaming movie revenue and to support business decisions. …”
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    Article
  7. 1967
  8. 1968
  9. 1969
  10. 1970

    The relationship between proteinuria and coronary risk: a systematic review and meta-analysis. by Vlado Perkovic, Christine Verdon, Toshiharu Ninomiya, Federica Barzi, Alan Cass, Anushka Patel, Meg Jardine, Martin Gallagher, Fiona Turnbull, John Chalmers, Jonathan Craig, Rachel Huxley

    Published 2008-10-01
    “…MEDLINE and EMBASE were searched for studies reporting an age- or multivariate-adjusted estimate and standard error of the association between proteinuria and coronary heart disease. …”
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    Article
  11. 1971

    Coffee and tea consumption and glioma risk: a meta-analysis of cohort studies by Jinyu Pan, Chuan Shao, Hui Tang, Nan Wu

    Published 2024-12-01
    “…The analysis explored glioma risk concerning the highest versus lowest levels of coffee and tea intake, supplemented by a dose–response evaluation using a one-stage robust error meta-regression model.ResultsA total of nine studies, published between 2004 and 2020, were included. …”
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    Article
  12. 1972
  13. 1973

    Viscoelastic Warpage and Stress Analysis in SIP Packaging: Numerical simulation and experimental validation by Ting-Yu Lee, Yu-Li Chen, Sheng-Jye Hwang, Chun-Yu Ko, Wei-Lun Cheng

    Published 2025-06-01
    “…Similarly, the predicted warpage trend after Post-Mold Curing (PMC) also displays a concave smiling shape, with a maximum warpage value of 1.0 mm and approximately 30 % deviation compared to experimental data.The 30 % error in warpage prediction after post-mold curing is primarily due to the simulation being conducted under ideal conditions, which are less influenced by external factors. …”
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    Article
  14. 1974
  15. 1975

    Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

    Published 2025-12-01
    “…Due to rapid pig movement and frequent occlusions during aggression activities, the key challenges for pig tracking and aggression analysis using multi-object tracking (MOT) are low tracking accuracy and error identity-switching (IDs) problems. …”
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    Article
  16. 1976
  17. 1977
  18. 1978

    Accurately predict product temperature during high-temperature Daqu fermentation process based on mathematical modelling by YAO Cuiping, LI Yuping, WU Zhongyu, ZHU Chutian, ZHU Zhiyu, CHENG Yanbo, JIAO Fu, GONG Jiaxin, JIA Wensheng, MOU Mingyue, HUANG Yongguang

    Published 2025-03-01
    “…The fermentation temperature prediction model for the temperature of Daqu products in the whole workshop was established by principal component analysis (PCA) and cluster analysis (CA). To further verify the reliability of the prediction model, the temperature data of eight monitoring areas in another Daqu fermentation workshop were randomly paired and fed into the model for further verification. …”
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    Article
  19. 1979

    Machine learning-based modelling and analysis of carbonation depth of recycled aggregate concrete by Xuyong Chen, Xuan Liu, Shukai Cheng, Xiaoya Bian, Xixuan Bai, Xin Zheng, Xiong Xu, Zhifeng Xu

    Published 2025-07-01
    “…This paper used machine learning to model the prediction of carbonation depth and the analysis of feature parameters for recycled aggregate concrete (RAC). …”
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    Article
  20. 1980

    Research Progress on Spectroscopic Analysis of Key Elements in Reprocessing of Spent Nuclear Fuel by Yan-lin WANG, Yu-ning YANG, Tao-xiang SUN

    Published 2025-06-01
    “…In nitric acid solutions, \begin{document}$ {\mathrm{UO}}_2^{2+} $\end{document} at 860 cm−1 has a characteristic Raman peak that can be used for qualitative analysis. To reduce the relative error of measurement as well as to simultaneously analyze a variety of components, the technique of UV-Vis-NIR absorption spectroscopy combined with Raman spectroscopy can be used. …”
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    Article