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  1. 1641

    Effects of close-to-nature forest management on carbon stocks in Pinus tabulaeformis plantations in northern China by Jinmei Xu, Huiling Tian, Jun Xiao, Zhaochen Li, Wenfa Xiao, Runsheng Yin

    Published 2025-01-01
    “…The results showed under close-to-nature management and no human intervention, the amounts of carbon stocks of P. tabulaeformis plantations were similarly ranked (soil > trees > litter > grasses > shrubs), and the trees, vegetation, and ecosystem carbon stocks of P. tabuliformis plantations increased significantly with stand age (p < 0.05). …”
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  2. 1642

    Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

    Published 2024-08-01
    “…These results are better than those of four other classification models, namely Naïve Bayes, Decision Tree, K-NN, and Random Forest. …”
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  3. 1643

    Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

    Published 2025-01-01
    “…Forests of California are undergoing large-scale disturbances from wildfire and tree mortality, caused by frequent droughts, insect infestations, and human activities. …”
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  4. 1644

    Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

    Published 2023-08-01
    “…Hasil percobaan menunjukkan bahwa penerapan ensemble learning dengan algoritma klasifikasi Decision Tree (DT), K-Nearest Neighbor (KNN), dan Random Forest (RF) memiliki performa model yang lebih baik dibandingkan dengan menggunakan algoritma klasifikasi tunggal, dengan accuracy sebesar 95.2%, nilai precision 93.2%, nilai F1-score 92.4%, dan True Negative Rate (TNR) sebesar 97.6%. …”
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  5. 1645

    Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites by Abdulhammed K. Hamzat, Umar T. Salman, Md Shafinur Murad, Ozkan Altay, Ersin Bahceci, Eylem Asmatulu, Mete Bakir, Ramazan Asmatulu

    Published 2025-03-01
    “…Five ML algorithms—Light gradient boosting regressor (LGBR), Extra tree regressor (ETR), Decision tree regressor (DTR), Histogram-based gradient boosting regressor (HGBR), and Adaptive boosting regressor (ABR)—were employed to predict the flexural strengths using both experimental data generated in-house and data collected from open literature. …”
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  6. 1646

    Quantifying the spatial impact of an invasive Acacia on ecosystem functioning using remote sensing by André Große-Stoltenberg, Christiane Werner, Christine Hellmann, Jens Oldeland, Jan Thiele

    Published 2025-01-01
    “…Specifically, we investigated a coastal Mediterranean dune ecosystem invaded by the N-fixing tree Acacia longifolia (Andrews) Willd. (‘Acacia’). …”
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  7. 1647

    Estimating Suitable Areas for Dry Almond (Amygdalus communis L.) Cultivation Development in Fars Province using Geographic Information System (GIS) by Ayatollah Karami, Alireza Salehi, Vida Aliyari

    Published 2025-12-01
    “…Consequently, it is recommended that the expansion of almond tree cultivation in this province be prioritized. …”
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  8. 1648

    BUILDING THE FORECASTING SYSTEM OF DECISION-MAKING IN CLOUD COMPUTING by Nguyễn Tấn Thuận, Trương Tiến Vũ

    Published 2013-06-01
    “…This paper focus on the visualized software solution with the purpose of providing multiple services in the fields of business, commerce, education, health, tourism, etc. by collecting data via internet and building decision tree to predict forecast report to user through the algorithm C4.5. …”
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  9. 1649

    A Mellin space approach to cosmological correlators by Charlotte Sleight

    Published 2020-01-01
    “…In this work we focus on tree-level correlation functions of general scalars as a prototype, including n-point contact diagrams and 4-point exchanges. …”
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  10. 1650

    Acer japonicum 'Vitifolium' by Edward F. Gilman

    Published 2004-10-01
    “… Full-moon maple is a small, deciduous tree that reaches 10 to 15 feet in height and width, creating a smooth, rounded canopy (Figure 1). …”
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  11. 1651

    Norm inflation for the derivative nonlinear Schrödinger equation by Wang, Yuzhao, Zine, Younes

    Published 2024-12-01
    “…More precisely, by using a ternary-quinary tree expansion of the Duhamel formula we prove norm inflation in Sobolev spaces below the (scaling) critical regularity for the gauged DNLS. …”
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  12. 1652

    Exploiting Scanning Behavior for Predators Can Reduce Rice Damage Caused by Birds by Takeshi Honda

    Published 2015-01-01
    “…Low visibility habitats increase scanning behavior and increased scanning behavior reduces habitat quality from the bird’s perspective; therefore, this study tested the relationship between rice damage rate and visibility at the periphery of rice fields, where tree sparrows rest after feeding. Overall, low visibility reduced damage to rice. …”
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  13. 1653

    Start Now to Design Citrus Groves for Mechanical Harvesting by Bob Rouse, Steve Futch

    Published 2004-09-01
    “…It is a general consensus among industry leaders that efficiencies in harvesting offer the greatest potential to reduce costs and keep our juice industry economically viable. Other tree crops (tart and sweet cherry, pistachios, prunes, olives) that would have been lost, have moved to mechanical harvesting to survive, but a generation of change was required and thinking had to be adjusted in lines with a commodity. …”
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  14. 1654

    The Pecan Truffle (Tuber lyonii): A Gourmet Truffle Native to the Southeastern United States by Arthur C. Grupe, Timothy Brenneman, Gregory Bonito, Matthew E. Smith

    Published 2016-11-01
    “…This fungus lives in a mutually beneficial relationship with the roots of some trees, including species of oak, hazelnut, and hickory trees, as well as the cultivated pecan tree. …”
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  15. 1655

    APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

    Published 2020-09-01
    “…We evaluated the data set with the SVM and Random Forest algorithms and also investigated the Decision Tree, Logistic Regression, K-Nearest-Neighbors, Naïve Bayes, and Multi-Layer Perceptron (MLP) algorithms. …”
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  16. 1656

    Peach Brown Rot by Ali Sarkhosh, Shirin Shahkoomahally, Logan Marie Richmond-Cosie, Philip Harmon

    Published 2020-02-01
    “…Under the right conditions, the entire tree’s crop can be completely rotted. Fruit susceptibility fluctuates with the various stages of development; mature fruits are highly susceptible to disease, and fruit infection has the greatest impact on production. …”
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  17. 1657

    A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products by S. Anitha, R. Neelakandan

    Published 2024-01-01
    “…Following the clustering process, a decision tree classification model is used to classify the new product into one of the predefined clusters to predict demand for the new product. …”
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  18. 1658

    Fiddlewood Leafroller, Seagrape Moth (suggested common names) Epicorsia oedipodalis (Guenée, 1854) (Lepidoptera: Ditrysia: Pyraloidea: Pyralidae: Pyraustinae) by William H. Kern

    Published 2015-05-01
    “…Although these leaf-eating pests do no permanent damage, they can completely defoliate fiddlewood, a Florida native that can form a large shrub or small tree. The shrub simply puts out a new flush of leaves. …”
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  19. 1659

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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  20. 1660

    2019–2020 Florida Citrus Production Guide: Canopy Management by Tripti Vashisth, Mongi Zekri, Fernando M. Alferez

    Published 2019-08-01
    “…Generally, trees with larger canopy and bearing volumes produce more fruit than smaller-canopy trees. …”
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