يعرض 1 - 10 نتائج من 71 نتيجة بحث عن '"M5P tree"', وقت الاستعلام: 1.21s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Predicting Marshall Stability of Carbon Fiber-Reinforced Asphalt Concrete Using Machine Learning Techniques

    المؤلفون: Upadhya, AnkitaAff1, IDs42947022002235_cor1, Thakur, M. S., Sihag, Parveen

    المصدر: International Journal of Pavement Research and Technology. 17(1):102-122

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  2. 2
    مؤتمر
    Real time surveillance of paddy field using Landsat images

    المؤلفون: Saranya, K, Muralidharan, K B

    المصدر: 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017 International Conference on. :695-698 Jul, 2017

    Relation: 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)

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  3. 3
    دورية أكاديمية
    Development of Prediction Models for the Torsion Capacity of Reinforced Concrete Beams Using M5P and Nonlinear Regression Models

    المؤلفون: Sadiq N. Henedy, Ali H. Naser, Hamza Imran, Luís F. A. Bernardo, Mafalda M. Teixeira, Zainab Al-Khafaji

    المصدر: Journal of Composites Science, Vol 6, Iss 12, p 366 (2022)

    مصطلحات موضوعية: machine learning (ML), reinforced concrete (RC), beams, torsional strength, nonlinear regression model, M5P tree model, Technology, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2504-477X/6/12/366; https://doaj.org/toc/2504-477X

    URL الوصول: https://doaj.org/article/a8008195b1e041668a5683b500792d7a

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  4. 4
    دورية أكاديمية
    Marshall Stability Prediction with Glass and Carbon Fiber Modified Asphalt Mix Using Machine Learning Techniques

    المؤلفون: Ankita Upadhya, Mohindra Singh Thakur, Mohammed Saleh Al Ansari, Mohammad Abdul Malik, Ahmad Aziz Alahmadi, Mamdooh Alwetaishi, Ali Nasser Alzaed

    المصدر: Materials, Vol 15, Iss 24, p 8944 (2022)

    مصطلحات موضوعية: asphalt modified mix, artificial neural network, support vector machines, gaussian processes, M5P tree, multiple linear regression, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1996-1944/15/24/8944; https://doaj.org/toc/1996-1944

    URL الوصول: https://doaj.org/article/d0b8ea4e7ff24a858fbfcc964247b0e6

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  5. 5
    دورية أكاديمية
    Estimation of the recharging rate of groundwater using random forest technique

    المؤلفون: Parveen Sihag, Anastasia Angelaki, Barkha Chaplot

    المصدر: Applied Water Science, Vol 10, Iss 7, Pp 1-11 (2020)

    مصطلحات موضوعية: Recharging rate, Random forest, Gaussian process regression, M5P tree, Water supply for domestic and industrial purposes, TD201-500

    وصف الملف: electronic resource

    Relation: http://link.springer.com/article/10.1007/s13201-020-01267-3; https://doaj.org/toc/2190-5487; https://doaj.org/toc/2190-5495

    URL الوصول: https://doaj.org/article/76e18bc13a2040978008e25b72d384ed

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  6. 6
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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  7. 7
    دورية أكاديمية
    Estimating the Strength of Stabilized Dispersive Soil with Cement Clinker and Fly Ash

    المؤلفون: Mohanty, SamaptikaAff1, Roy, NagendraAff1, Singh, Suresh PrasadAff1, Sihag, ParveenAff2

    المصدر: Geotechnical and Geological Engineering: An International Journal. 37(4):2915-2926

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  8. 8
    دورية أكاديمية
    Modelling of the impact of water quality on the infiltration rate of the soil

    المؤلفون: Balraj Singh, Parveen Sihag, Surinder Deswal

    المصدر: Applied Water Science, Vol 9, Iss 1, Pp 1-9 (2019)

    مصطلحات موضوعية: Double-ring infiltrometer, Gaussian process, Support vector regression, M5P tree model, Water supply for domestic and industrial purposes, TD201-500

    وصف الملف: electronic resource

    Relation: http://link.springer.com/article/10.1007/s13201-019-0892-1; https://doaj.org/toc/2190-5487; https://doaj.org/toc/2190-5495

    URL الوصول: https://doaj.org/article/52eee41bcbd741469e2f24b5231a2e7e

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  9. 9
    دورية أكاديمية
    Estimation of the recharging rate of groundwater using random forest technique

    المؤلفون: Sihag, ParveenAff1, Angelaki, Anastasia, Chaplot, Barkha

    المصدر: Applied Water Science. 10(7)

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  10. 10
    دورية أكاديمية
    Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree

    المؤلفون: Almasi, S. Najmedin, Bagherpour, Raheb, Mikaeil, Reza, Ozcelik, Yilmaz, Kalhori, Hamid

    المصدر: Geotechnical and Geological Engineering: An International Journal. August 2017 35(4):1311-1326

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