Showing 1,541 - 1,560 results of 4,451 for search '"forest"', query time: 0.10s Refine Results
  1. 1541
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    Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning by Rafiqul Islam, Al Imran, Md. Fazle Rabbi

    Published 2024-01-01
    “…It emphasizes utilizing deep learning models, namely VGG16, VGG19, ResNet50, and ResNet50V2, to extract relevant features. The random forest approach then uses these features for classification. …”
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    Article
  4. 1544

    Height Growth of Korean Pine Seedlings Planted under Strip-Cut Larch Plantations in Northeast China by Toshiaki Owari, Shinichi Tatsumi, Liangzhi Ning, Mingfang Yin

    Published 2015-01-01
    “…To develop two-storied forest management of larch plantations in Northeast China, this study examined the height growth of Korean pine (Pinus koraiensis Sieb. et Zucc.) seedlings planted under strip-cut larch canopies. …”
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  5. 1545

    Emergence and flight routes of the lesser horseshoe bats Rhinolophus hipposideros (Bechstein, 1800) from a church at Ljubljansko barje, central Slovenia by Veronika Ramovš, Simon Zidar, Maja Zagmajster

    Published 2010-12-01
    “…We observed flying bats at nine locations in this forest and at three locations on the forest edge, where they probably foraged. …”
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    Article
  6. 1546

    Does the seed fall far from the tree? Weak fine-scale genetic structure in a continuous Scots pine population by Niskanen, Alina K., Kujala, Sonja T., Kärkkäinen, Katri, Savolainen, Outi, Pyhäjärvi, Tanja

    Published 2024-04-01
    “…Detailed empirical estimates of dispersal are necessary both in studying post-glacial recolonization and predicting the response of forest trees to climate change.…”
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    Article
  7. 1547

    Characterization of soundscapes with acoustic indices and clustering reveals phenology patterns in a subtropical rainforest by Yan-Tin Lai, Sheng-Shan Lu, Ming-Tang Shiao

    Published 2025-02-01
    “…The nocturnal soundscape was dominated by frog calls and orthopteran stridulations in the aquatic and forest habitats. Correlations among the vocal activities of several representative groups, temperature, and rainfall were found. …”
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  8. 1548

    Spatial-temporal Pattern of the “Grain-for-Green Project” and Its Carbon Sequestration Effect in Guizhou Province by TAI Liang, CHEN Jia, LONG Wentao, CAI Huayin, WANG Xinxing

    Published 2024-12-01
    “…The implementation of the “Grain-for-Green Project” in the future can prioritize the conversion of cropland to forest land, in order to increase the regional carbon stock.…”
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  9. 1549

    THE EVOLUTION OF THE LEGISLATION REGARDING WOOD HARVESTING IN ROMANIA IN THE LAST TWO DECADES by Moga Camelia Elena, Timofte Claudia Simona, Gășpărel Mihai

    Published 2024-11-01
    “…The two previous orders (from 2002 and 2008) are also mentioned and compared in terms of forest harvesting.…”
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  10. 1550

    Spider Diversity Pattern and Community Composition in the South Eastern Nigeria: An Analysis of Habitat Differences by C.D. Ezeonyejiaku, C.O. Okoye, M.C. Anaesoronye, T.C. Mogbo

    Published 2019-08-01
    “…Spiders were collected from three habitats which include: residential areas, farmlands and forest regions in the study area using handpicking and vegetative beating methods. …”
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  13. 1553

    Deep learning-enhanced detection of road culverts in high-resolution digital elevation models: Improving stream network accuracy in Sweden by William Lidberg

    Published 2025-02-01
    “…Study region: Sweden, a mostly forested country with many small forest roads obstructing topographical modelling of shallow groundwater and streams. …”
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  14. 1554
  15. 1555

    Stroke Prediction Based on Machine Learning by Zhang Yuhan

    Published 2025-01-01
    “…However, both models exhibit high false-negative rates, with Random Forest showing a false-negative rate of 12% and SVM at 15%, which significantly impacts their clinical utility. …”
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  16. 1556
  17. 1557

    Spider Diversity Pattern and Community Composition in the South Eastern Nigeria: An Analysis of Habitat Differences by C.D. Ezeonyejiaku, C.O. Okoye, M.C. Anaesoronye, T.C. Mogbo

    Published 2019-08-01
    “…Spiders were collected from three habitats which include: residential areas, farmlands and forest regions in the study area using handpicking and vegetative beating methods. …”
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    Article
  18. 1558

    Spatial Resilience Modelling of Merapi Volcano Ecosystem Post-Eruption by Emma Soraya, Wahyu Wardhana, Ronggo Sadono

    Published 2016-07-01
    “…The resilience was shown by the changes from open area to vegetation covers as grass, shrubs, and secondary forests. The transitions occured in term of natural succession as well as human intervention in restoration programs. …”
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  19. 1559

    Enhancing rice seed purity recognition accuracy based on optimal feature selection by Thi-Thu-Hong Phan, Le Huu Bao Nguyen

    Published 2025-05-01
    “…Specifically, Random Forest reduces the feature set by more than half, from 172 to 80, remarkably enhancing classification accuracy from 94.73% to 96.11%. …”
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  20. 1560

    Role of Pigeonpea Cultivation on Soil Fertility and Farming System Sustainability in Ghana by S. Adjei-Nsiah

    Published 2012-01-01
    “…The paper shows that recent field studies conducted in both the semi-deciduous forest and the forest/savanna transitional agro-ecological zones of Ghana indicate that pigeonpea/maize rotations can increase maize yield by 75–200%. …”
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