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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning
Published 2025-02-01“…The study also employed Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Random Forest (RF) algorithms to predict Peak Particle Velocity (PPV) values. …”
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Celle des riches et celle des pauvres
Published 2013-11-01“…Clearly distinguished by the actors of the commercial chain who recognize perfectly the specificities (aspect, colour, odour, taste), they are considered as two products of two different qualities resulting from conditions of production (spontaneous/cultivated), way of transformation, and drying processes.Since a few decades, there have been valorisation efforts of products coming from coffee forest ecosystems as well as homegardens of Ethiopia in order to contribute to conservation of the rich and unique forest and garden biodiversity. …”
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The potentials of biomass carbon and CO2 absorption in various land uses of dryland in Aceh Besar Regency, Indonesia
Published 2025-01-01“…Conversion of primary forest to open land can result in loss of C biomass from 37.1% to 99.8%.…”
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Flowering characteristics and breeding system of the rare plant Rosa anemoniflora
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Federated learning based reference evapotranspiration estimation for distributed crop fields.
Published 2025-01-01“…The Random Forest Regressor (RFR) performance yields the local machine learning models against each selected site. …”
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1667
The population structure and habitat use of resident of Mandarin Duck (Aix galericulata) in Wu River (Southwest China)
Published 2025-02-01“…At the microhabitat scale, the results of logistic regression models indicated that the key habitat variables included the distance to the nearest forest edge (dist.forest), opening extent of valley (deg.valley) and distance to the nearest human settlement (dist.settlement). …”
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Variation in Illipe Nut's Fat Yield of Tengkawang-producing Shorea from Several Provenances and Land Races
Published 2018-11-01“…Illip (tengkawang) nut is a non-wood forest product which has a high economic value and one of export commodities as raw material for illipe nut's fat, cosmetics, and substitution of chocolate fat. …”
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
Published 2024-07-01“…The random forest model is shown to be the most accurate in predicting solar irradiation. …”
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Which Agroforestry Practice Is Beneficial? A Comparative Assessment of the Traditional and the Improved Agroforestry Techniques in the Midhills of Nepal
Published 2021-01-01“…Similarly, the improved practitioner annually fulfilled 84% demand for forest products from the adopted agroforestry practice, whereas the traditional practitioner only fulfilled about 50%. …”
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A Near Complete Genome Assembly of the Oshima Cherry Cerasus speciosa
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ
Published 2024-12-01“…Hasil penelitian menunjukkan bahwa model prediksi menggunakan algoritma Random Forest berhasil mencapai akurasi sebesar 99,67%. Algoritma Gradient Boosting menghasilkan akurasi 99,21%, sementara Decision Tree mencapai akurasi sebesar 98,67%. …”
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Theranostic nanoemulsions suppress macrophage-mediated acute inflammation in rats
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Climatic Factors Influencing Aleppo Pine Sap Flow in Orographic Valleys Under Two Contrasting Mediterranean Climates
Published 2025-01-01“…Accordingly, the productivity and survival of forests in this area will depend on their ability to resist and adapt to increasingly drier conditions. …”
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Actual and optimal abundance of the main ungulate species in forestry and hunting districts of Ukraine
Published 2024-12-01“…The actual OA increases in the order of Crimea (7.3) → Steppe (34.9) → Forest-Steppe (42.4) → Carpathians (50.5) → Polissia (112.1 thousand individuals), i.e. it changes, albeit gradually, by more than 15 times when moving from southern to northern zones. …”
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Effect of Different Types of Mulching on Soil Properties and Tree Growth of Magnolia champaca Planted at the Montane Rainforest in Cameron Highlands, Pahang, Malaysia
Published 2021-01-01“…Tropical Montane Cloud Forest (TMCF) is among the most vulnerable habitats to fragmentation, deforestation, and global climate change. …”
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Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine...
Published 2025-01-01“…Conclusion The random forest machine learning model provides greater predictive power for estimating home delivery risk factors. …”
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