Showing 1,021 - 1,040 results of 1,442 for search 'Simulation forest', query time: 0.08s Refine Results
  1. 1021
  2. 1022

    Enhancing Pear Tree Yield Estimation Accuracy by Assimilating LAI and SM into the WOFOST Model Based on Satellite Remote Sensing Data by Zehua Fan, Yasen Qin, Jianan Chi, Ning Yan

    Published 2025-02-01
    “…Three advanced algorithms, Partial Least Squares Regression (PLSR), Support Vector Regression (SVR) and Random Forest (RF), were used to construct the regression models of LAI and vegetation index in four key periods using Sentinel-2 satellite remote sensing data. …”
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  3. 1023
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  6. 1026

    The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model by Minghong Peng, Ye Yang, Yuanjie Deng, Dingdi Jize, Hang Chen, Yifeng Hai, Guojie Liu, Haijun Wang, Tianhui Xie, Hu Li, Ji Luo

    Published 2025-07-01
    “…Our findings indicated that cultivated land (CL), forest land (FL), and grassland (GL) consistently dominated land use composition within the UYRB, collectively occupying approximately 96.45% of the total area throughout 2000–2020. …”
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    Article
  7. 1027

    Effects of Galactic Environment on Size and Dark Matter Content in Low-mass Galaxies by Francisco J. Mercado, Jorge Moreno, Robert Feldmann, Marckie Zeender, José A. Benavides, Joanna M. Piotrowska, Courtney Klein, Coral Wheeler, Lina Necib, James S. Bullock, Philip F. Hopkins

    Published 2025-01-01
    “…We utilize the cosmological volume simulation FIREbox to investigate how a galaxy’s environment influences its size and dark matter content. …”
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    Article
  8. 1028
  9. 1029

    Design, synthesis, and evaluation of triazolo[1,5-a]pyridines as novel and potent α‑glucosidase inhibitors by Fariba Peytam, Parham Foroumadi, Hayrettin Ozan Gulcan, Maryam Norouzbahari, Somayeh Mojtabavi, Mohammad Ali Faramarzi, Fahimeh Ghasemi, Mohammadreza Torabi, Behnaz Bameri, Maliheh Barazandeh Tehrani, Loghman Firoozpour, Alireza Foroumadi

    Published 2025-05-01
    “…The machine learning model, trained with the Estate fingerprint, achieved an AUC score of 0.65, demonstrating its utility in predicting α-glucosidase inhibition. Random Forest was identified as the most suitable model, and the dataset with the highest R² value was selected for further feature selection and model improvement. …”
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    Article
  10. 1030
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    Strategic mangrove restoration increases carbon stock capacity by Sebrian M. Beselly, Mick van Der Wegen, Johan Reyns, Uwe Grueters, Jasper T. Dijkstra, Dano Roelvink

    Published 2025-05-01
    “…To optimise restoration strategies, we developed an individual-based mangrove and process-based hydro-morphodynamic model to simulate multi-species mangrove forest trajectories, including the physical environment’s feedback. …”
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  12. 1032
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    Research on dynamic uplift of contact wires in high-speed railway by TANG Yang

    Published 2024-07-01
    “…Moreover, the penalty function method was introduced to simulate pantograph-catenary interactions, leading to the establishment of a pantograph-catenary coupling model that was then utilized to simulate uplift changes of contact wire steady arms under different operating speeds and directions. …”
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  14. 1034
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    High-resolution Canada domain disturbance forcings suitable for land surface modeling applications by Jason Beaver, Salvatore R. Curasi, Joe R. Melton, Elyn R. Humphreys, Txomin Hermosilla, Michael A. Wulder

    Published 2025-08-01
    “…Abstract Spatially explicit fire and harvest data are useful for driving land surface model (LSM) simulations of the carbon cycle. From 1985-present, numerous Canadian disturbance datasets exist. …”
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  16. 1036

    Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

    Published 2025-03-01
    “…These models were applied to over 5,373 concrete formulations compiled from 137 literature sources. The simulations used artificial neural networks or deep learning, generalized linear, decision tree, random forest, support vector machine, and gradient-boosted tree models to predict the compressive strength of 8 concrete mix designs containing different SCMs. …”
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  17. 1037

    Implications for the distributional range of the European bark beetles under future climate change by Shengqi Jian, Yufei Han, Risto Kasanen, Juha Honkaniemi, Samuli Junttila, Fred O. Asiegbu

    Published 2025-08-01
    “…Abstract The European continent is rich in forest resources, with bark beetles being the most significant biological disturbance impacting European forest ecosystems. …”
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  18. 1038

    Future projections of Siberian wildfire and aerosol emissions by R. K. Nurrohman, R. K. Nurrohman, T. Kato, H. Ninomiya, L. Végh, N. Delbart, T. Miyauchi, H. Sato, T. Shiraishi, R. Hirata

    Published 2024-09-01
    “…We then predicted that all of the 33 fire-related gas and aerosol emissions would increase in the future due to the enhanced amount of litter as fuel load from increasing forest biomass production under climate forcing of four Representative Concentration Pathways: RCP8.5, RCP6.0, RCP4.5, and RCP2.6. …”
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  19. 1039

    Application of machine learning-based post-processing to improve crowd-sourced urban rainfall categorizations by Mohammad Ashar Hussain, Venkatesh Budamala, Rajarshi Das Bhowmik

    Published 2025-06-01
    “…The findings indicate that while the random forest model outperforms logistic regression, its performance declines as misclassification rates increase. …”
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  20. 1040

    The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

    Published 2025-03-01
    “…Then, the high sequences underwent processing using the optimized random forest algorithm, and the remaining sequences were subjected to processing utilizing optimized bidirectional long short-term memory. …”
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