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Lenin Huayta-Flores

Biographic Data

ID6954371
NAMELenin Huayta-Flores
GIVEN NAMESLenin
FAMILY NAMEHuayta-Flores
SIGNATUREHUAYTA-FLORES L
AFFILIATIONSUniversidad Nacional del Altiplano
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Advanced Machine Learning Techniques for Hydrological Prediction of Lake Titicaca

    Open Access•Lenin Huayta-Flores, Hugo Yosef Gomez-Quispe et al.•ARTICLE•Journal of Posthumanism•2025

    Global climate change is contributing to significant water reduction, evident in Lake Titicaca, where water levels have declined markedly in recent years. This study employs ten advanced machine learning algorithms to improve the prediction accuracy of water level behavior in the Lake Titicaca basin. The models utilize year, month, day, precipitation, maximum temperature, and minimum temperature as input variables. Accurate predictions are crucia…

  • Optimizing Quinoa Production Systems in Andean Communities

    Open Access•Robert Antonio Romero-Flores, Lenin Huayta-Flores et al.•ARTICLE•Journal of Posthumanism•2025

    This research introduces a method to help improve quinoa farming in Puno Perú area by blending programming and machine learning methods to tackle issues faced in today’s global agricultural markets efficiently and effectively using information from a span of 26 years. Through our work and study details over these years we formulated a model that balances maximizing profits while handling market fluctuations effectively and efficiently Our results…

  • Invierte.Pe and the Economic Benefits of Drinking Water Projects Using the Parametric Model

    Open Access•Omar Moisés Rodríguez-Limachi, Duverly Joao Incacutipa-Limachi et al.•ARTICLE•Journal of Posthumanism•2025

    The objective of the research is to obtain the economic benefits of drinking water projects using the parametric logit model, from an Invierte.pe perspective. The methodology applied was the parametric contingent valuation model using the Logit model to estimate the willingness to pay (WTP), information was collected through the application of surveys to project users on their willingness or unwillingness to pay an amount of money for improvement…

  • Socioeconomic Determinants of Labor Informality in the Department of Puno, Peru

    Open Access•Lucio Ticona-Carrizales, Henry Amiel Condori Portillo et al.•ARTICLE•Journal of Ecohumanism•2024

    Labor informality is a phenomenon that impacts the economic and social development of various regions, including the department of Puno, by limiting access to labor rights and perpetuating poverty and inequality. This study aims to determine the socioeconomic factors that influence labor informality in the department of Puno. To achieve this objective, a methodology with a quantitative approach of explanatory scope and a non-experimental cross-se…

No prominent works on this page.

  • Socioeconomic Determinants of Labor Informality in the Department of Puno, Peru

    Open Access•Lucio Ticona-Carrizales, Henry Amiel Condori Portillo et al.•ARTICLE•Journal of Ecohumanism•2024

    Labor informality is a phenomenon that impacts the economic and social development of various regions, including the department of Puno, by limiting access to labor rights and perpetuating poverty and inequality. This study aims to determine the socioeconomic factors that influence labor informality in the department of Puno. To achieve this objective, a methodology with a quantitative approach of explanatory scope and a non-experimental cross-se…

  • Advanced Machine Learning Techniques for Hydrological Prediction of Lake Titicaca

    Open Access•Lenin Huayta-Flores, Hugo Yosef Gomez-Quispe et al.•ARTICLE•Journal of Posthumanism•2025

    Global climate change is contributing to significant water reduction, evident in Lake Titicaca, where water levels have declined markedly in recent years. This study employs ten advanced machine learning algorithms to improve the prediction accuracy of water level behavior in the Lake Titicaca basin. The models utilize year, month, day, precipitation, maximum temperature, and minimum temperature as input variables. Accurate predictions are crucia…

  • Optimizing Quinoa Production Systems in Andean Communities

    Open Access•Robert Antonio Romero-Flores, Lenin Huayta-Flores et al.•ARTICLE•Journal of Posthumanism•2025

    This research introduces a method to help improve quinoa farming in Puno Perú area by blending programming and machine learning methods to tackle issues faced in today’s global agricultural markets efficiently and effectively using information from a span of 26 years. Through our work and study details over these years we formulated a model that balances maximizing profits while handling market fluctuations effectively and efficiently Our results…

  • Invierte.Pe and the Economic Benefits of Drinking Water Projects Using the Parametric Model

    Open Access•Omar Moisés Rodríguez-Limachi, Duverly Joao Incacutipa-Limachi et al.•ARTICLE•Journal of Posthumanism•2025

    The objective of the research is to obtain the economic benefits of drinking water projects using the parametric logit model, from an Invierte.pe perspective. The methodology applied was the parametric contingent valuation model using the Logit model to estimate the willingness to pay (WTP), information was collected through the application of surveys to project users on their willingness or unwillingness to pay an amount of money for improvement…

Economics (3 works) · Business (2 works) · Business, Innovation, and Economy (2 works) · Economic growth (2 works) · Geography (2 works) · Mathematics (2 works) · Poverty (2 works) · Artificial Intelligence (1 work) · Computer Science (1 work) · Demographic economics (1 work)

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