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  1. 1781
  2. 1782

    Human Pose Recognition Based on Depth Image Multifeature Fusion by Haikuan Wang, Feixiang Zhou, Wenju Zhou, Ling Chen

    Published 2018-01-01
    “…A new data set is then established to train the random forest classifier, and a random forest two-way voting mechanism is adopted to classify the pixels on different parts of the human body depth image. …”
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  3. 1783

    Évolution des paysages arborés dans les montagnes de Thừa Thiên Huế (Việt Nam) by Amélie Robert

    Published 2017-07-01
    “…But the turmoil caused by the war and the accelerating loss of forest resources has transformed landscapes. Fewer trees grow spontaneously and these are being replaced by planted trees. …”
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  4. 1784

    Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

    Published 2022-01-01
    “…Neural networks (NNs) and random forest (RF) classifiers were used to evaluate the proposed approach on a recent urban land cover dataset of nine different classes. …”
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  5. 1785
  6. 1786

    The impact of revitalization treatments on biological activity of soil under afforestation on post-agricultural land by Anna Augustyniuk-Kram, Karol J. Kram

    Published 2020-12-01
    “…The comparative area for afforestation on post-agricultural soils in the presented experiment was the area of forest soils, located in the same habitat, in a pine stand, at the same time. …”
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  7. 1787
  8. 1788

    L’insécurité foncière dans et autour des Aires Protégées de Madagascar : un obstacle à surmonter pour la conservation de la biodiversité et le développement rural by Sigrid Aubert, Saholy Rambintsaotra, Jules Razafiarijaona

    Published 2013-04-01
    “…Nevertheless, following the 5th World Parks’ Congress held in Durban, 2003, close to 20% of national land was assigned temporary protection status, prohibiting exploitation of all forest resources, even if essential to the local population’s survival. …”
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  9. 1789
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  11. 1791

    Land Use Effects on Soil Quality Indicators: A Case Study of Abo-Wonsho Southern Ethiopia by Awdenegest Moges, Melku Dagnachew, Fantaw Yimer

    Published 2013-01-01
    “…This study compared soil quality within culturally protected forest areas and adjacent grassland, grazing land, and farmland in Abo-Wonsho, Southern Ethiopia. …”
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  12. 1792

    Guide to Fertilization for Pine Straw Production on Coastal Plain Sites by Anna Osiecka, Patrick J. Minogue, E. David Dickens

    Published 2016-04-01
    “…David Dickens, and published by the School of Forest Resources and Conservation, December 2015. …”
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  13. 1793

    Ecosystem Processes and Nitrogen Export in Northern U.S. Watersheds by Robert Stottlemyer

    Published 2001-01-01
    “…We have been studying small, forested watershed ecosystems in five northern watersheds for periods up to 35 years. …”
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  14. 1794

    Macromycete fungal diversity in the Andean Amazonian rainforest of the Sacta Valley, Cochabamba, Bolivia by Mario Coca Morante, Alejandro Coca-Salazar, Olga Herrera Fernández, Casimiro Mendoza Bautista

    Published 2023-09-01
    “…The inventory was taken in the permanently monitored plots established within the primary forest preserved by the San Simón University at the Valley of Sacta Fund. …”
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  15. 1795

    Climatic, Regional Land-Use Intensity, Landscape, and Local Variables Predicting Best the Occurrence and Distribution of Bee Community Diversity in Various Farmland Habitats in Uga... by M. B. Théodore Munyuli

    Published 2013-01-01
    “…Bee species richness declined very steeply with forest distance. Bee species richness and abundance were negatively affected by land-use intensity (). …”
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  16. 1796
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  19. 1799

    Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea by Hyunji Sang, Jaeyu Park, Soeun Kim, Myeongcheol Lee, Hojae Lee, Sun-Ho Lee, Dong Keon Yon, Sang Youl Rhee

    Published 2024-11-01
    “…Fifteen variables related to patient profiles were integrated and applied to various ML algorithms, including random forest, support vector, XGBoost, decision tree, and AdaBoost regressors. …”
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  20. 1800