Hasil Pencarian - Alexis Iván Andrade

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  1. 1
    Efectos de la variabilidad de los datos iniciales en el índice de condición del pavimento y predicción de su deterioro

    Efectos de la variabilidad de los datos iniciales en el índice de condición del pavimento y predicción de su deterioro oleh Alexis Iván Andrade, Gabriela Castillo, Cristian Chacater

    Diterbitkan 2021-06-01
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  2. 2
    Predicting the impact of adding metakaolin on the splitting strength of concrete using ensemble ML classification and symbolic regression techniques –a comparative study

    Predicting the impact of adding metakaolin on the splitting strength of concrete using ensemble ML classification and symbolic regression techniques –a comparative study oleh Cesar Garcia, Alexis Ivan Andrade Valle, Alexis Ivan Andrade Valle, Angel Alberto Silva Conde, Nestor Ulloa, Alireza Bahrami, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh

    Diterbitkan 2024-05-01
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  3. 3
    Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications

    Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications oleh Xinghuang Guo, Cesar Garcia, Alexis Ivan Andrade Valle, Kennedy Onyelowe, Andrea Natali Zarate Villacres, Ahmed M. Ebid, Shadi Hanandeh

    Diterbitkan 2024-01-01
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  4. 4
    Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications.

    Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications. oleh Xinghuang Guo, Cesar Garcia, Alexis Ivan Andrade Valle, Kennedy Onyelowe, Andrea Natali Zarate Villacres, Ahmed M Ebid, Shadi Hanandeh

    Diterbitkan 2024-01-01
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  5. 5
    Multiple AI predictive models for compressive strength of recycled aggregate concrete

    Multiple AI predictive models for compressive strength of recycled aggregate concrete oleh Ahmed M. Ebid, Nestor Ulloa, Kennedy C. Onyelowe, Maria Gabriela Zuñiga Rodriguez, Alexis Iván Andrade Valle, Andrea Natali Zárate Villacres

    Diterbitkan 2024-12-01
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  6. 6
    The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a GSVR-XGBoost hybrid model

    The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a GSVR-XGB... oleh Cesar Garcia, Alexis Ivan Andrade Valle, Sabih Hashim Muhodir, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Hamza Imran, Sadiq N. Henedy, Bala Mahesh Chilakala, Manvendra Verma

    Diterbitkan 2024-09-01
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  7. 7
    Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms

    Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms oleh Carlos Roberto López Paredes, Cesar García, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Maria Gabriela Zuniga Rodriguez, Tammineni Gnananandarao, Alexis Ivan Andrade Valle, Nancy Velasco, Greys Carolina Herrera Morales

    Diterbitkan 2024-10-01
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  8. 8
    Modeling the influence of bacteria concentration on the mechanical properties of self-healing concrete (SHC) for sustainable bio-concrete structures

    Modeling the influence of bacteria concentration on the mechanical properties of self-healing concrete (SHC) for sustainable bio-concrete structures oleh Kennedy C. Onyelowe, Ali F. H. Adam, Nestor Ulloa, Cesar Garcia, Alexis Ivan Andrade Valle, María Gabriela Zúñiga Rodríguez, Andrea Natali Zarate Villacres, Jamshid Shakeri, Lewechi Anyaogu, Mohammadreza Alimoradijazi, Nakkeeran Ganasen

    Diterbitkan 2024-04-01
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  9. 9
    Use of pumice stone and silica fume as precursor material for the design of a geopolymer [version 2; peer review: 2 approved]

    Use of pumice stone and silica fume as precursor material for the design of a geopolymer [version 2; peer review: 2 approved] oleh Alexis Iván Andrade Valle, Jefferson Javier Castillo Cevallos, Mayte Lisbeth Mieles Mariño, Marcelo David Guerra Valladares, Andrea Natalí Zárate Villacrés, María Gabriela Zúñiga Rodríguez, Cristian Andrés Marcillo Zapata, Tito Oswaldo Castillo Campoverde

    Diterbitkan 2024-08-01
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