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  1. 2261

    Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

    Published 2025-01-01
    “…Utilising a novel dataset of infrared cocoa tree images, we demonstrate PhytNet's development and compare its performance with existing architectures. …”
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  2. 2262

    Exploring perceived impacts of shifting Mopane woodland on medicinal plants in Vhembe, South Africa by Andisa A Mufungizi, Walter Musakwa, Nelson Chanza

    Published 2025-01-01
    “…We recommend that community tree planting projects should integrate the growing of indigenous trees of medicinal value to minimise the threat on natural species and to perpetuate their use. …”
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  3. 2263

    Soil-Borne Microbial Functional Structure across Different Land Uses by Eiko E. Kuramae, Jizhong Z. Zhou, George A. Kowalchuk, Johannes A. van Veen

    Published 2014-01-01
    “…In a multivariate regression tree analysis of soil physicochemical properties and genes detected by functional microarrays, the main factor that explained the different microbial community functional structures was C : N ratio. …”
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  4. 2264

    Effects of Water Deficit on Growth, Biomass Allocation and Photosynthesis of <i>A. senegal</i> Seedlings from Nguru and Gujba Provinces of Yobe State, North Eastern Nigeria by A.U. Jibo, M.G. Barker

    Published 2020-01-01
    “… Acacia senegal (L) Willd is a multipurpose tree species that occurs  throughout semi-arid Africa. …”
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  5. 2265

    Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

    Published 2025-01-01
    “…Experimental results show that PSO outperforms other algorithms in training the tool wear prediction model, with XGBoost feature selection reducing model construction time by 57.4% and increasing accuracy by 63.57%, demonstrating superior feature selection capabilities over Decision Tree, Random Fores, Adaboost and Extra Trees. These findings suggest that the proposed method can effectively predict tool wear in real-world CNC machining, contributing to improved production efficiency, reduced tool replacement frequency, and lower maintenance costs, thereby providing valuable insights for industrial applications.…”
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  6. 2266

    Quantifying the influence of eucalyptus bark and corncob biochars on the physicoâchemical properties of a tropical oxisol under two soil tillage modes by Boris Merlain Djousse Kanouo, Suzanne Edith Allaire

    Published 2024-01-01
    “…Method The biochars were made from slow pyrolysis (~300 °C, 4 h) of eucalyptus tree bark and corncobs and then incorporated into the top 15 cm of the soil with or without straw. …”
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  7. 2267

    Triple (and quadruple) soft-gluon radiation in QCD hard scattering by Stefano Catani, Dimitri Colferai, Alessandro Torrini

    Published 2020-01-01
    “…In the soft limit the corresponding scattering amplitude has a singular behaviour that is factorized and controlled by a colorful soft current. We compute the tree-level current for triple soft-gluon emission from both massless and massive hard partons. …”
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  8. 2268

    Dormancy Breaking in Ormosia arborea Seeds by Edilma Pereira Gonçalves, Franklim Sales de Jesus Soares, Sérgio dos Santos Silva, Débora de Souza Tavares, Jeandson Silva Viana, Brenda Colleen Clifton Cardoso

    Published 2011-01-01
    “…Ormosia arborea is a tree species planted in urban areas and used to restore degraded areas. …”
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  9. 2269

    Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

    Published 2025-03-01
    “…Three stages compose the proposed approach: In the first stage, a hierarchical minimum spanning tree algorithm is proposed to generate the initial topology with an accurate number of sub-branches from the pre-processed OSM data and peak demand. …”
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  10. 2270

    Community health worker and caregiver experiences and perceptions of a multimodal handheld pulse oximeter used in sick child consultations in rural Burundi: A qualitative evaluatio... by Sarah Bauler, Leocadie Nivyindika, Titus Kirwa, Vital Habonimana, Dionis Nizigiyimana, Miles A Kirby, Asrat Tolossa

    Published 2025-01-01
    “…Additional CHW capacity-building on interpreting parameters is needed when using oximeters during household iCCM consultations in Burundi, including an iCCM job aid (decision-making tree) with oxygen saturation and respiratory rate cut-offs for treatment and/or referral. …”
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  11. 2271

    Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

    Published 2025-02-01
    “…Three models with different approaches were applied to correlate and model the experimental data set: (i) seven density-based models, (ii) PR equations of state (vdW2 mixing rule), and (iii) machine learning-based models, namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, and Kernel Ridge. All tested models successfully correlate and model the solubility data within an acceptable accuracy. …”
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  12. 2272

    A Network-Based Impact Measure for Propagated Losses in a Supply Chain Network Consisting of Resilient Components by Jesus Felix Bayta Valenzuela, Xiuju Fu, Gaoxi Xiao, Rick Siow Mong Goh

    Published 2018-01-01
    “…Furthermore, we obtain a closed-form solution for a supply chain network with a k-ary tree topology; a numerical study is performed for a scale-free network and a random network. …”
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  13. 2273

    Vegetation structure and composition in the semi-arid Mapungubwe Cultural Landscape by P. Gandiwa, J. Finch, T. Hill

    Published 2016-05-01
    “…Stratified random sampling based on major soil types was used and nine plant variables were measured in 137(20x30) m2 sampling plots; these being genera, species and family names; basal circumference; plant height; depth and diameter of tree canopy; number of stems per plant; plant life status; number of trees and shrubs; and number of saplings. …”
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  14. 2274

    Polyphenol content and antioxidant activity of phytoestrogen containing food and dietary supplements: DPPH free radical scavenging activity by HPLC by Klarić Daniela Amidžić, Mornar Ana, Kovačić Jelena, Jeličić Mario-Livio, Brusač Edvin, Brletić Iva, Klarić Ilija

    Published 2022-09-01
    “…Soy, red clover, chaste tree, hop and flax have all been found to contain a wide range of phytoestrogenic compounds, and a large number of dietary supplements contain their extracts as principal ingredients. …”
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  15. 2275

    Effects of Polypropylene and Date Palm Fiber Reinforcements on High Performance Concrete at Elevated Temperatures and Their Impact on Spalling Phenomena by Malek Hamda, Cherif Guergah, Abdelaziz Benmarce, Abderrahmane Khechekhouche, Antonio Marcos de Oliveira Siqueira, Júlio Cesar Costa Campos

    Published 2023-12-01
    “…This study aimed to evaluate alterations in physical and mechanical properties of high-performance concrete incorporating various fibers, including polypropylene and palm tree waste as an eco-friendly alternative to conventional fibers. …”
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  16. 2276

    Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms by R. Kabilan, V. Chandran, J. Yogapriya, Alagar Karthick, Priyesh P. Gandhi, V. Mohanavel, Robbi Rahim, S. Manoharan

    Published 2021-01-01
    “…The final model resulted from accurate forecasts, exhibiting a root mean square error of 4.42% in NN, 16.86% in QSVM, and 8.76% in TREE. The results are presented with the building facade and roof application such as flat roof, south façade, east façade, and west façade.…”
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  17. 2277

    Prediction of COVID-19 Confirmed, Death, and Cured Cases in India Using Random Forest Model by Vishan Kumar Gupta, Avdhesh Gupta, Dinesh Kumar, Anjali Sardana

    Published 2021-06-01
    “…On this dataset, first, we performed data cleansing and feature selection, then performed forecasting of all classes using random forest, linear model, support vector machine, decision tree, and neural network, where random forest model outperformed the others, therefore, the random forest is used for prediction and analysis of all the results. …”
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  18. 2278

    Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan by Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro

    Published 2022-12-01
    “…Implementasi Machine Learning untuk deteksi cyberbullying dapat dilakukan dengan berbagai algoritma, seperti algoritma probabilistik (Naïve Bayes) maupun supervised learning (Support Vector Machine, k-Nearest Neighbour, Decission Tree), dan metode lainnya yang hingga saat ini terus dikembangkan dengan berbagai pendekatan untuk meningkatkan akurasi deteksi cyberbullying atau non-cyberbullying. …”
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  19. 2279
  20. 2280

    A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

    Published 2024-10-01
    “…Among these algorithms, the Two-Class Boosted Decision Tree method demonstrated outstanding prediction ability, achieving a 100% accuracy rating. …”
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