Hugo Yosef Gomez-Quispe
Biographic Data
| ID | 6954449 |
|---|---|
| NAME | Hugo Yosef Gomez-Quispe |
| GIVEN NAMES | Hugo Yosef |
| FAMILY NAME | Gomez-Quispe |
| SIGNATURE | GOMEZ-QUISPE H Y |
| AFFILIATIONS | Universidad Nacional del Altiplano |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Advanced Machine Learning Techniques for Hydrological Prediction of Lake Titicaca
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
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
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…
No prominent works on this page.
Advanced Machine Learning Techniques for Hydrological Prediction of Lake Titicaca
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
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
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…
Advanced Malware Detection Techniques (1 work) · Artificial Intelligence (1 work) · Bridging (networking (1 work) · Business, Innovation, and Economy (1 work) · Component (thermodynamics (1 work) · Computer Science (1 work) · Data visualization (1 work) · Digital and Cyber Forensics (1 work) · Economic growth (1 work) · Economics (1 work)