Výsledky vyhledávání - machine learning decision tree algorithm

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    A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm Autor Hajihosseinlou, Mahsa, Maghsoudi, Abbas, Ghezelbash, Reza

    ISSN: 1520-7439, 1573-8981
    Vydáno: New York Springer US 01.12.2023
    “…The gradient boosting decision tree is a well-known machine learning algorithm. Despite numerous advancements in its application, its efficiency still needs to be improved for large feature dimensions and data capacities…”
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    Sustainable decision-making for contaminated site risk management: A decision tree model using machine learning algorithms Autor Li, Xiaonuo, Yi, Shiyi, Cundy, Andrew B., Chen, Weiping

    ISSN: 0959-6526, 1879-1786
    Vydáno: Elsevier Ltd 15.10.2022
    Vydáno v Journal of cleaner production (15.10.2022)
    “… decision sensitivity parameters are analyzed in this study and their influence on the management patterns of contaminated sites identified with three decision tree (DT…”
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    A Robust Estimation of Blasting-Induced Flyrock Using Machine Learning Decision Tree Algorithms: Random Forest, Gradient Boosting Machine, and XGBoost Autor Mohammed, Bouhannache, Hamza, Cheniti

    ISSN: 2524-3462, 2524-3470
    Vydáno: Cham Springer International Publishing 01.06.2025
    Vydáno v Mining, metallurgy & exploration (01.06.2025)
    “… This paper presents three machine learning decision tree algorithms that were implemented to predict blasting-induced flyrock…”
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    Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU Autor Elhazmi, Alyaa, Al-Omari, Awad, Sallam, Hend, Mufti, Hani N., Rabie, Ahmed A., Alshahrani, Mohammed, Mady, Ahmed, Alghamdi, Adnan, Altalaq, Ali, Azzam, Mohamed H., Sindi, Anees, Kharaba, Ayman, Al-Aseri, Zohair A., Almekhlafi, Ghaleb A., Tashkandi, Wail, Alajmi, Saud A., Faqihi, Fahad, Alharthy, Abdulrahman, Al-Tawfiq, Jaffar A., Melibari, Rami Ghazi, Al-Hazzani, Waleed, Arabi, Yaseen M.

    ISSN: 1876-0341, 1876-035X, 1876-035X
    Vydáno: England Elsevier Ltd 01.07.2022
    “…) and is currently a major cause of intensive care unit (ICU) admissions globally. The role of machine learning in the ICU is evolving but currently limited to diagnostic and prognostic values. A decision tree (DT…”
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    Throughput prediction of fifth-generation cellular system using hybrid feature selection and enhanced sequential decision tree machine learning algorithm Autor Sharma, Abhilasha, Pandit, Shweta, Talluri, Salman Raju

    ISSN: 1022-0038, 1572-8196
    Vydáno: New York Springer US 01.03.2025
    Vydáno v Wireless networks (01.03.2025)
    “…This paper proposes enhanced sequential decision tree (ESDT) for the prediction of fifth-generation (5G…”
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    Hydrogen uptake prediction in porous carbon materials explained by decision tree machine learning Algorithms: From experimental data to interpretable predictions Autor Sunkara, Hemanth, Bhat A S, Shravani, R, Namitha, Acharya, Sushmitha, Shekar, Selva Kumar, Sainath, Krishnamurthy, Siddiqui, Shabnam

    ISSN: 0360-3199
    Vydáno: Elsevier Ltd 05.01.2026
    “… A Machine Learning (ML) approach was developed using five Decision Tree-based models on a 2,101datapoint PCM dataset to rapidly address the demands of this gap…”
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    Maximum power point tracking using decision-tree machine-learning algorithm for photovoltaic systems Autor Mahesh, P Venkata, Meyyappan, S, Alla, RamaKoteswara Rao

    ISSN: 2515-4230, 2515-396X
    Vydáno: UK Oxford University Press 01.10.2022
    Vydáno v Clean energy (Online) (01.10.2022)
    “…Abstract This work presents a machine-learning (ML) algorithm for maximum power point tracking (MPPT…”
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    Decision tree machine learning algorithm for pegmatites mapping using remote sensing data (Anti-Atlas, Morocco) Autor Maimouni, Soufiane, Morsli, Yousra, Zerhouni, Youssef, Alikouss, Saida, Baroudi, Zouhir

    ISSN: 1866-9298, 1866-928X
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025
    Vydáno v Applied geomatics (01.09.2025)
    “…In the past few years, the use of Machine learning (ML) to classify remotely sensed data has increased, offering new opportunities for geological mapping…”
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    The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports Autor Cui, Guomei, Wang, Chuanjun

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 13.02.2025
    Vydáno v PloS one (13.02.2025)
    “… The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted…”
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    Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis Autor Alizade-Harakiyan, Mostafa, Khodaei, Amin, Yousefi, Ali, Zamani, Hamed, Mesbahi, Asghar

    ISSN: 2405-5808, 2405-5808
    Vydáno: Netherlands Elsevier B.V 01.06.2025
    Vydáno v Biochemistry and biophysics reports (01.06.2025)
    “… This study aimed to develop and validate a decision tree-based model for predicting acute esophagitis grades in patients undergoing chemoradiotherapy…”
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    Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks Autor Choudhury, Arghya, Mondal, Arpita, Sarkar, Subhadeep

    ISSN: 1951-6355, 1951-6401
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2024
    “…Machine learning algorithms are now being extensively used in our daily lives, spanning across diverse industries as well as academia…”
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    Transforming Animal Tracking Frameworks Using Wireless Sensor Networks and Machine Learning Algorithm using Decision Tree Algorithm Autor Dr. J. Jaya Priya, Sanjitha S

    ISSN: 2395-6011, 2395-602X
    Vydáno: 03.08.2025
    “…) with a Machine Learning-based Decision Tree algorithm to enhance monitoring, behavior prediction, and anomaly detection…”
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    An Ensemble Learning Methodology to a Decision Tree Algorithm for Soil Type Classification Using Machine Learning Autor S, Sumanth

    ISSN: 0975-3303, 0975-3303
    Vydáno: Bengaluru CHRIST (Deemed to be University) 13.12.2023
    Vydáno v Mapana Journal of Sciences (13.12.2023)
    “…In this study, we focus on the classification of soil types in a specific region, employing a stacking ensemble learning approach with the decision tree algorithm…”
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    Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study Autor Yu, Cheng-Sheng, Lin, Yu-Jiun, Lin, Chang-Hsien, Wang, Sen-Te, Lin, Shiyng-Yu, Lin, Sanders H, Wu, Jenny L, Chang, Shy-Shin

    ISSN: 2291-9694, 2291-9694
    Vydáno: Canada JMIR Publications 01.03.2020
    Vydáno v JMIR medical informatics (01.03.2020)
    “… We aimed to evaluate the accuracy of different decision tree machine learning algorithms to predict the state of metabolic syndrome in self-paid health examination subjects who were examined with FibroScan…”
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    Application of Decision-Tree-Based Machine Learning Algorithms for Prediction of Antimicrobial Resistance Autor Yasir, Muhammad, Karim, Asad Mustafa, Malik, Sumera Kausar, Bajaffer, Amal A., Azhar, Esam I.

    ISSN: 2079-6382, 2079-6382
    Vydáno: Basel MDPI AG 01.11.2022
    Vydáno v Antibiotics (Basel) (01.11.2022)
    “… We trained 10 machine learning (ML) classifiers on the basis of data on gene expression (GEXP) information and generated predictive models for meropenem, ciprofloxacin, and ceftazidime drugs…”
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    Forward-inverse-hybrid modeling of microstrip antennas using decision tree-based machine learning algorithms for space communication Autor Kumar, Anjani, Khan, Taimoor, Sarkar, Debanjali

    ISSN: 1434-8411
    Vydáno: Elsevier GmbH 01.02.2025
    “…This article presents a machine learning (ML) framework for forward, inverse, and hybrid modeling in electromagnetic problems, focusing on single-, dual-, and four-port notched microstrip antennas used in satellite environments…”
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    Comparative Assessment of Fraudulent Financial Transactions using the Machine Learning Algorithms Decision Tree, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, and Random Forest Autor Manorom, Paiboon, Detthamrong, Umawadee, Chansanam, Wirapong

    ISSN: 2241-4487, 1792-8036
    Vydáno: 02.08.2024
    “… As fraud is a major concern in online payments, many machine-learning approaches have been proposed to detect and prevent fraudulent payment transactions…”
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