Robert Antonio Romero-Flores

Biographic Data

ID6952995
NAMERobert Antonio Romero-Flores
GIVEN NAMESRobert Antonio
FAMILY NAMERomero-Flores
SIGNATUREROMERO-FLORES R A
AFFILIATIONSUniversidad Nacional del Altiplano
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Advanced Machine Learning Techniques for Hydrological Prediction of Lake Titicaca

    Open AccessLenin Huayta-Flores, Hugo Yosef Gomez-Quispe et al.ARTICLEJournal of Posthumanism2025

    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 AccessRobert Antonio Romero-Flores, Lenin Huayta-Flores et al.ARTICLEJournal of Posthumanism2025

    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…

  • Bridging Theory and Practice

    Open AccessDino Jhoel Condori-Churata, Yarin Nilo Laqui-Huilahuaña et al.ARTICLEJournal of Posthumanism2025

    This study presents an innovative pedagogical approach to cybersecurity education through the development of an interactive malware propagation simulation. The system integrates a hybrid detection model, combining SHA-256 signature analysis, a proprietary heuristic engine, and file verification using the WinTrust API, in addition to system-level monitoring through Microsoft Defender’s command-line interface. Its main contribution lies in a dynami…

  • Differential Covid-19 Vaccine Effectiveness and Predictive Survival Modeling

    Open AccessRobert Antonio Romero-Flores, Javier Mamani-Paredes et al.ARTICLEJournal of Posthumanism2025

    The study aims to develop descriptive and predictive models of COVID-19 behavior in Perú, using data mining techniques to support public health policies based on epidemiological evidence. The CRISP-DM methodology was applied, using decision tree, clustering, and Naive Bayes algorithms on the national database “Deaths, hospitalizations, and vaccinations due to COVID-19,” processed in RapidMiner Studio. The results showed that, out of 8,120 cases o…