Showing 761 - 780 results of 3,760 for search '"tree"', query time: 0.07s Refine Results
  1. 761

    Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System by Kirana Annisa Puspa, Saleh Wildan Abdul Rachman, Sabilla Wilda Imama, Vista Candra Bella, Wakhidah Rokhimatul, Wijayaningrum Vivi Nur

    Published 2025-01-01
    “…This research presents the development of a Web GIS system using a Decision Tree algorithm to classify and map air pollution levels in the Jabodetabek region. …”
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    Article
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    Analisis Performa Algoritma Decision Tree, Naive Bayes, K-Nearest Neighbor untuk Klasifikasi Zona Daerah Risiko Covid-19 di Indonesia by Ainurohmah Ainurrohmah, Dian Tri Wiyanti

    Published 2023-02-01
    “…Nilai performa terbaik didapatkan dengan menggunakan algoritma decision tree dengan software WEKA dengan nilai performa 88% dan waktu 0,32 detik. …”
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    Evolutionary Trajectories of Shoots vs. Roots: Plant Volatile Metabolomes Are Richer but Less Structurally Diverse Belowground in the Tropical Tree Genus <i>Protium</i> by Katherine D. Holmes, Paul V. A. Fine, Italo Mesones, Julieta Alvarez-Manjarrez, Andressa M. Venturini, Kabir G. Peay, Diego Salazar

    Published 2025-01-01
    “…Here, we examine the GCMS detectable phytochemistry (for simplicity, hereafter referred to as specialized volatile metabolites) of the tropical tree genus <i>Protium</i>, testing the hypothesis that phenotypic divergence will be weaker belowground compared to aboveground due to more limited dispersal by enemies. …”
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  6. 766

    Tree Mortality following Prescribed Fire and a Storm Surge Event in Slash Pine (Pinus elliottii var. densa) Forests in the Florida Keys, USA by Jay P. Sah, Michael S. Ross, James R. Snyder, Danielle E. Ogurcak

    Published 2010-01-01
    “…In fire-dependent forests, managers are interested in predicting the consequences of prescribed burning on postfire tree mortality. We examined the effects of prescribed fire on tree mortality in Florida Keys pine forests, using a factorial design with understory type, season, and year of burn as factors. …”
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  7. 767

    Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state by Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, Elnaz Nasirzadeh, Meriem Essakhraoui, Ali Abedi, Mehdi Ostadhassan, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

    Published 2025-03-01
    “…In this study, two powerful and robust tree-based machine learning (ML) algorithms, namely light gradient boosted machine (LightGBM) and extreme gradient boosting (XGBoost) were utilized to precisely estimate CO2 Z-factor. …”
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  8. 768

    Effect of tree size attributes on fruit production and animal-mediated seed dispersal web in Melia azedarach L. (Chinaberry) in north-west Himalaya, India by Sukumaran Arun, Sasidharan Sarath, Khanduri Vinod Prasad, Suraj, Rawat Shweta, Chand Vaisakhy Prem

    Published 2025-01-01
    “…We examined the trees of Melia azedarach to analyse the impact of tree size attributes (diameter, height and crown length) on fruit yield. …”
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    Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics by Krutika Patidar, Nikhil Pillai, Saroj Dhakal, Lindsay B. Avery, Panteleimon D. Mavroudis

    Published 2025-02-01
    Subjects: “…Target pharmacology, Antibodies, Pharmacokinetics, High-throughput ML, Decision tree classification.…”
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