Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

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Numerical model of debris flow susceptibility using slope stability failure machine learning prediction with metaheuristic techniques trained with different algorithms by Kennedy C. Onyelowe, Arif Ali Baig Moghal, Furquan Ahmad, Ateekh Ur Rehman, Shadi Hanandeh

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Modeling of the effect of gradation and compaction characteristics on the california bearing ratio of granular materials for subbase and landfill liner construction by Majed Alzara, Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Ahmed M. Yosri, Talal O. Alshammari

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Estimating the strength of soil stabilized with cement and lime at optimal compaction using ensemble-based multiple machine learning by Kennedy C. Onyelowe, Arif Ali Baig Moghal, Ahmed Ebid, Ateekh Ur Rehman, Shadi Hanandeh, Vishnu Priyan

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

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

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Forecasting the rheological state properties of self-compacting concrete mixes using the response surface methodology technique for sustainable structural concreting. by Edwin Zumba, Nancy Velasco, Edison Marcelo Melendres Medina, Jorge Bunay, Nestor Augusto Estrada Brito, Kennedy C Onyelowe, Nakkeeran Ganasen, Shadi Hanandeh

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Optimizing the utilization of Metakaolin in pre-cured geopolymer concrete using ensemble and symbolic regressions by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, José Luis Llamuca Llamuca, Fabián Patricio Londo Yachambay, José Luis Allauca Palta, M. Vishnupriyan, Siva Avudaiappan

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Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques by Kennedy C. Onyelowe, Kennedy C. Onyelowe, Ahmed M. Ebid, Danilo Fernando Fernandez Vinueza, Néstor Augusto Estrada Brito, Nancy Velasco, Jorge Buñay, Sabih Hashim Muhodir, Hamza Imran, Shadi Hanandeh

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Predicting the impact of adding metakaolin on the splitting strength of concrete using ensemble ML classification and symbolic regression techniques –a comparative study by 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

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Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Vilma Fernanda Noboa Silva, Rodney Orlando Santillán Murillo, Rolando Fabián Zabala Vizuete, Paul Awoyera, Siva Avudaiappan

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Predicting the impact of adding metakaolin on the flexural strength of concrete using ML classification techniques – a comparative study by Luis Velastegui, Nancy Velasco, Hugo Rolando Sanchez Quispe, Fredy Barahona, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Shadi Hanandeh, Ahmed M. Ebid, TrustGod A. John

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Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, S. Anandha Kumar, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Susana Monserrat Zurita Polo, Rolando Marcel Torres Castillo, Ahmed M. Ebid, Paul Awoyera, Krishna Prakash Arunachalam

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