المؤلفون: Dejun ZHANG, Guan HONG, Shiqi YANG, Hao ZHU

المصدر: Gaoyuan qixiang, Vol 43, Iss 6, Pp 1507-1519 (2024)

مصطلحات موضوعية: drought, remote sensing, random forest regression, ordinary least squares, Meteorology. Climatology, QC851-999

وصف الملف: electronic resource

Relation: http://www.gyqx.ac.cn/EN/10.7522/j.issn.1000-0534.2024.00025; https://doaj.org/toc/1000-0534

URL الوصول: https://doaj.org/article/b6a8b16dcdfb4e84907e8cf505e6071e

المؤلفون: Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Random Forest Regression, Wastewater treatment, Water quality indicators, Predictive models, Carbon emission reduction mechanism, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/5bbad1bf9f24467fa7886fe315cdcabd

المؤلفون: Sharareh Akbarian, Mostafa Rahimi Jamnani, Chengyuan Xu, Weijin Wang, Samsung Lim

المصدر: Information Processing in Agriculture, Vol 11, Iss 4, Pp 476-487 (2024)

مصطلحات موضوعية: Sugarcane yield prediction, Random forest regression (RFR), Support vector machine (SVM), Nonlinear autoregressive exogenous artificial neural network (NARX ANN), Agriculture (General), S1-972, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214317323000574; https://doaj.org/toc/2214-3173

URL الوصول: https://doaj.org/article/dca1b28fc66b4c838a309da7ddad9d3f

المؤلفون: Connors, Elizabeth, Dutta, Avishek, Trinh, Rebecca, Erazo, Natalia, Dasarathy, Srishti, Ducklow, Hugh, Weissman, J, Yeh, Yi-Chun, Schofield, Oscar, Steinberg, Deborah, Fuhrman, Jed, Bowman, Jeff

المصدر: The ISME Journal: Multidisciplinary Journal of Microbial Ecology. 18(1)

مصطلحات موضوعية: bacterial production, community structure, microbial ecological function, random forest regression, Antarctic Regions, Bacteria, Microbiota, California, Ecosystem, Seawater, Oceans and Seas

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/7b80k40b
https://escholarship.org/content/qt7b80k40b/qt7b80k40b.pdf

المؤلفون: Achim Langenbucher, Nóra Szentmáry, Alan Cayless, Jascha Wendelstein, Peter Hoffmann

المصدر: Zeitschrift für Medizinische Physik, Vol 34, Iss 4, Pp 632-640 (2024)

مصطلحات موضوعية: Outlier detection, Quantile regression tree, Random forest regression, Formula prediction error, Constant optimisation, Lens power calculation, Medical physics. Medical radiology. Nuclear medicine, R895-920

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0939388922001295; https://doaj.org/toc/0939-3889

URL الوصول: https://doaj.org/article/565b8cb7c5e543e1b1da75945d941837

المؤلفون: Ravikiran Chintalapudi, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

المصدر: Scientific African, Vol 26, Iss , Pp e02397- (2024)

مصطلحات موضوعية: Dimensionless natural frequency, Hamilton's principle, Random forest regression, Two-directional functionally graded taper porous beam, Vogel's approximation method, Science

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2468227624003399; https://doaj.org/toc/2468-2276

URL الوصول: https://doaj.org/article/374d22f7f070484085727b78a877c9e0

المؤلفون: Dinh Trong Tran, Ngoc Dung Luong, Dinh Huy Nguyen

المصدر: Geodesy and Cartography, Vol 50, Iss 3 (2024)

مصطلحات موضوعية: building subsidence, leveling, machine learning, linear regression, decision tree regression, random forest regression, Geodesy, QB275-343

وصف الملف: electronic resource

Relation: https://jest.vgtu.lt/index.php/GAC/article/view/20237; https://doaj.org/toc/2029-6991; https://doaj.org/toc/2029-7009

URL الوصول: https://doaj.org/article/5bbd792e2cf146fabf88015aae4f594f

المؤلفون: Sathyaraj J, Sankardoss V

المصدر: Cogent Engineering, Vol 11, Iss 1 (2024)

مصطلحات موضوعية: Machine-learning models, random forest regression, renewable energy sources, wind energy, wind speed, wind speed forecasting, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2331-1916

URL الوصول: https://doaj.org/article/ea69692dc53d4e439fe6c8d7e5416f87

المؤلفون: Dipendra Bhattarai, Arko Lucieer

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Artificial night-time lights, streetlamps, building footprint area, Visible Infrared Imaging Radiometer Suite (VIIRS), random forest regression (RFR), Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/96613e2a13b84b07aa6f0a0db80e19fa

المؤلفون: Yangguang Li, Bin Wu, Congxiao Wang, Zuoqi Chen, Shaoyang Liu, Bailang Yu

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Global poverty, nighttime light data, International Wealth Index, time-series, random forest regression model, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/5ce7ff06fbe14bf5bfe208036d4a6d18

المؤلفون: Xingjian Guo, Hao Liu, Pu Zhong, Zhongzheng Hu, Zhigang Cao, Ming Shen, Zhenyu Tan, Weixin Liu, Chengzhao Liu, Dexin Li, Hongtao Duan

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: DOC monitoring, hyperspectral UAV, random forest regression, water quality, remote sensing, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/931871182e9b42c981481dc3a388307e

المؤلفون: Tianxuan Hao, Lizhen Zhao, Dengke Wang, Jianping Wei, Yang Du, Yanbo Yin, Yiju Tang, Zhigang Jiang, Xu Chen, Yanzhao Wei

المصدر: Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)

مصطلحات موضوعية: Gas disaster control, gas pre-drainage, random forest regression, coalbed gas pressure prediction, Bayesian optimization, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Risk in industry. Risk management, HD61

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1947-5705; https://doaj.org/toc/1947-5713

URL الوصول: https://doaj.org/article/68858a1cad6141779a71c38c874254f5

المؤلفون: Bashir Mohamed Osman, Abdillahi Mohamoud Sheikh Muse

المصدر: Cogent Economics & Finance, Vol 12, Iss 1 (2024)

مصطلحات موضوعية: GDP forecasting, machine learning, random forest regression, SHAP, economic indicators, Somalia, Finance, HG1-9999, Economic theory. Demography, HB1-3840

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2332-2039

URL الوصول: https://doaj.org/article/176f352b3ffa479da8ef5e59d5ac1be4

المؤلفون: Joshi, Mitali, Aliaga, Daniel G., Teller, Jacques

المصدر: urn:isbn:978-3-03-131746-0
urn:isbn:978-3-03-131745-3
Urban Book Series (2023)

مصطلحات موضوعية: Green roofs, Land surface temperature (LST), Random forest regression, Urban heat island (UHI), Geography, Planning and Development, Urban Studies, Engineering, computing & technology, Ingénierie, informatique & technologie

Relation: https://link.springer.com/content/pdf/10.1007/978-3-031-31746-0_16

URL الوصول: https://orbi.uliege.be/handle/2268/308501

المؤلفون: Zhang, Wei, Ji, Chenjia, Zheng, Shengjie, Loáiciga, Hugo A, Li, Wenkai, Sun, Xiaona

المصدر: Journal of Applied Remote Sensing. 17(3)

مصطلحات موضوعية: Hydrology, Atmospheric Sciences, Earth Sciences, integrated multi-satellite retrievals for global precipitation measurement, spatial downscaling, multifractal, random forest regression, spatial heterogeneity, Physical Geography and Environmental Geoscience, Geomatic Engineering, Geological & Geomatics Engineering, Atmospheric sciences, Physical geography and environmental geoscience, Geomatic engineering

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/4jd7w0zz
https://escholarship.org/content/qt4jd7w0zz/qt4jd7w0zz.pdf

المؤلفون: Wang, Xueye, Bocksberger, Gaëlle, Lautenschläger, Thea, Finckh, Manfred, Meller, Paulina, O'Malley, Gregory E, Oelze, Vicky M

مصطلحات موضوعية: Archaeology, Historical Studies, History, Heritage and Archaeology, strontium isotope analysis, random forest regression, forced migration, African Diaspora, archaeological mobility, Geochemistry, Geology

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/3dt97099
https://escholarship.org/content/qt3dt97099/qt3dt97099.pdf

المؤلفون: Moraes, Reece Cavan

المساهمون: Fernandes, Pedro Afonso, Veritati - Repositório Institucional da Universidade Católica Portuguesa

مصطلحات موضوعية: Machine learning, Electric vehicles, Multiple linear regression, Support vector machines, Random forest regression, Decision trees, XGBoost regression, Aprendizagem automática, Veículos elétricos, Regressão linear múltipla, Vetores de suporte, Florestas aleatórias, Árvores de decisão, Regressão XGBoost, Domínio/Área Científica::Ciências Sociais::Economia e Gestão

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10400.14/46165

المؤلفون: F. Leung, M. Law, S. K. Djeng

المصدر: Financial Innovation, Vol 10, Iss 1, Pp 1-25 (2024)

مصطلحات موضوعية: Implied volatility, Cryptocurrency options, Momentum indicator, Relative strength index, Machine learning, Random Forest regression, Public finance, K4430-4675, Finance, HG1-9999

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2199-4730

URL الوصول: https://doaj.org/article/8e6dd346ed8b40818e5f112310bf13da

المؤلفون: Marwa Hassan

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)

مصطلحات موضوعية: Machine learning, Random forest regression, Krill Herd algorithm, Coordinated charging, Intelligent charging, Sustainability, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/ca7da794575c42eab83a183a74756a31

المؤلفون: Bilal Muhammad, Arif U. R. Rehman, Faisal Mumtaz, Yin Qun, Jia Zhongkui

المصدر: Frontiers in Environmental Science, Vol 12 (2024)

مصطلحات موضوعية: above-ground biomass, random forest regression, spatial distribution mapping, spectral band analysis, machine learning, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenvs.2024.1448648/full; https://doaj.org/toc/2296-665X

URL الوصول: https://doaj.org/article/b7295a3b01f84b569878326391ef7cf0