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1دورية أكاديمية
المؤلفون: Revilla-Cuesta V., Faleschini F., Zanini M. A., Skaf M., Ortega-Lopez V.
المساهمون: Revilla-Cuesta, V., Faleschini, F., Zanini, M. A., Skaf, M., Ortega-Lopez, V.
مصطلحات موضوعية: Effective capillary porosity, Mechanical behavior, Non-linear multiple regression, Recycled concrete aggregate, Self-compacting concrete
وصف الملف: ELETTRONICO
العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000760814200001; volume:44; firstpage:103425; journal:JOURNAL OF BUILDING ENGINEERING; http://hdl.handle.net/11577/3439187Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85121880350; https://www.sciencedirect.com/science/article/pii/S2352710221012833Test
الإتاحة: https://doi.org/10.1016/j.jobe.2021.103425Test
http://hdl.handle.net/11577/3439187Test
https://www.sciencedirect.com/science/article/pii/S2352710221012833Test -
2دورية أكاديمية
المؤلفون: Julia Pinto Carvalho, Alexandre Teixeira Dias
المصدر: RAE: Revista de Administração de Empresas, Vol 56, Iss 5, Pp 503-517 (2016)
مصطلحات موضوعية: Performance, competitive advantage, profitability, industry environment, non-linear multiple regression, Business, HF5001-6182
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Majid, M.Z.B.A., Monjezi, M., Armaghani, D.J., Khandelwal, M., Shirani Faradonbeh, R., Yağız, Saffet
مصطلحات موضوعية: Genetic programming, Brittleness, Non-linear multiple regression, Compressive strength, Excavation, Forecasting, Fracture mechanics, Genetic algorithms, Plasticity, Regression analysis, Rocks, Statistical tests, Tensile strength, Brazilian tensile strengths, Brittleness index, Coefficient of determination, Geotechnical application, Non linear, Performance prediction, Underground excavation, Uniaxial compressive strength
العلاقة: Engineering with Computers; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/9311Test; https://doi.org/10.1007/s00366-016-0452-3Test; 33; 13; 21; 2-s2.0-84965010968; WOS:000392140600002
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4
المؤلفون: Vanesa Ortega-López, Mariano Angelo Zanini, Víctor Revilla-Cuesta, Marta Skaf, Flora Faleschini
المصدر: Repositorio Institucional de la Universidad de Burgos (RIUBU)
instnameمصطلحات موضوعية: Materials science, Young's modulus, Ingeniería civil, symbols.namesake, Flexural strength, Architecture, Linear regression, Ultimate tensile strength, Civil engineering, Composite material, Mechanical behavior, Safety, Risk, Reliability and Quality, Porosity, Civil and Structural Engineering, Construction, Non-linear multiple regression, Aggregate (composite), Building and Construction, Effective porosity, Effective capillary porosity, Compressive strength, Recycled concrete aggregate, Self-compacting concrete, Mechanics of Materials, symbols, Construcción
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59dd2a16ae4145954a18de944210ec1cTest
http://hdl.handle.net/10259/6176Test -
5دورية أكاديمية
المؤلفون: Carvalho, Julia Pinto de, Dias, Alexandre Teixeira
المصدر: RAE - Revista de Administracao de Empresas ; Vol. 56 No. 5 (2016): setembro-outubro; 503-517 ; RAE - Revista de Administração de Empresas; Vol. 56 Núm. 5 (2016): setembro-outubro; 503-517 ; RAE-Revista de Administração de Empresas; v. 56 n. 5 (2016): setembro-outubro; 503-517 ; 2178-938X ; 0034-7590
مصطلحات موضوعية: Performance, Competitive advantage, Profitability, Industry environment, Non-linear multiple regression, Desempeño, Ventaja competitiva, Lucratividad, Ambiente de la industria, Regresión múltiple no lineal, Desempenho, Vantagem competitiva, Lucratividade, Ambiente da indústria, Regressão múltipla não-linear
وصف الملف: application/pdf
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6دورية أكاديمية
المؤلفون: Jahed Armaghani, D., Tonnizam Mohamad, E., Hajihassani, M., Motaghedi, H., Yağız, Saffet
مصطلحات موضوعية: Artificial neural network, Adaptive neuro-fuzzy inference system, Granite, Non-linear multiple regression, Uniaxial compressive strength, Compressive strength, Forecasting, Fuzzy inference, Fuzzy systems, Mean square error, Neural networks, Seismic waves, Statistical tests, Tracking (position), Wave propagation, Coefficient of determination, Rocks, Non linear, Non-linear predictions, Performance indices, Ranking procedures, Root mean squared errors
العلاقة: Engineering with Computers; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/9638Test; https://doi.org/10.1007/s00366-015-0410-5Test; 32; 189; 206; 2-s2.0-84961061738; WOS:000372294400002
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7دورية أكاديمية
المؤلفون: De-Carvalho, Julia Pinto, Dias, Alexandre Teixeira
المساهمون: Fundação Getúlio Vargas - FGV, Universidade FUMEC Faculdade de Ciências Empresariais
المصدر: SciELO
مصطلحات موضوعية: Performance, Competitive advantage, Profitability, Industry environment, Non-linear multiple regression, Desempenho, Vantagem competitiva, Lucratividade, Ambiente da indústria, Regressão múltipla não-linear, Desempeño, Ventaja competitiva, Lucratividad, Ambiente de la industria, Regresión múltiple no lineal, Administração de empresas, Concorrência
وصف الملف: application/pdf
العلاقة: Revista de Administração de Empresas; Revista de Administração de Empresas. Fundação Getulio Vargas, Escola de Administração de Empresas de S.Paulo, v. 56, n. 5, p. 503-517, 2016.; http://hdl.handle.net/10438/21755Test; S0034-75902016000500503.pdf; S0034-75902016000500503
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8دورية أكاديمية
المؤلفون: Trninić, Marko, Jeličić, Mario, Papić, Vladan
المصدر: Collegium Antropologicum; Vol.39 No.Supplement 1; ISSN 0350-6134 (Print)
مصطلحات موضوعية: anthropometric predictors, performance indicators, elite junior men, non-linear multiple regression, sports science
وصف الملف: application/pdf
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9دورية أكاديمية
المساهمون: Universidade Estadual Paulista (UNESP)
مصطلحات موضوعية: Contaminant transport, Estimations, Non-linear multiple regression, Test columns, concentration (composition), dispersion, estimation method, hydrodynamics, landfill, nonlinearity, pollutant transport, porous medium, regression analysis, soil pollution, Brazil
وصف الملف: 383-398
العلاقة: Geociências; 0,230; http://www.periodicos.rc.biblioteca.unesp.br/index.php/geociencias/article/view/5557Test; Geociencias, v. 30, n. 3, p. 383-398, 2011.; http://hdl.handle.net/11449/73052Test; 2-s2.0-82555189373; 2-s2.0-82555189373.pdf; 1989662459244838
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10دورية أكاديمية
المؤلفون: Yagiz, S., Gokceoglu, C., Sezer, E., Ä°plikçi, Serdar
مصطلحات موضوعية: Non-linear multiple regression, Artificial neural networks, Rock properties, TBM prognosis, Tunneling, Boring machines (machine tools), Boring tools, Electron tunneling, Forecasting, Neural networks, Regression analysis, Rocks, Tunneling (excavation), Tunneling machines, Linear prediction models, Non linear, Non-linear predictions, Performance estimation, Performance prediction models, Tunnel boring machine(TBM), Construction equipment
العلاقة: Engineering Applications of Artificial Intelligence; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/6927Test; https://doi.org/10.1016/j.engappai.2009.03.007Test; 22; 4-5; 808; 814; 2-s2.0-65749099794; WOS:000268057700033