Elevating knowledge from the Altiplano
Laboratory of Computing in Research, Methodology and Analytics at the School of Statistical and Computer Engineering, Universidad Nacional del Altiplano, in Puno, Peru.
News
Announcements, achievements and activities at LaCima.
Two new articles accepted in indexed journals: exoplanets and supercomputingThe Journal of Astrophysics and Astronomy (Springer) and Informatica (Slovenia) accepted two LaCima articles signed by all five members of the laboratory.Read more → Third place in the Vice-Rectorate for Research scientific poster contestThe work on frost prediction with machine learning and deep learning earned third place in the UNAP scientific poster contest.Read more → First indexed publication: frost prediction in the Altiplano, in IJACSAThe comparative study of statistical, machine learning and deep learning methods for frost prediction was published in the International Journal of Advanced Computer Science and Applications (Scopus).Read more →
- Research lines
- 0
- Members
- 0
- Indexed publications
- 0
- Founding year
- 2024
Research lines
Four lines, one territory: the Altiplano as a field of application.
Scientific output
Indexed research with regional impact.
2025PublishedL2L4Indexed in Scopus
Comparative Analysis of Statistical, Machine Learning, and Deep Learning Approaches for Frost Prediction in the Peruvian Altiplano
Fred Torres-Cruz, Dina Maribel Yana-Yucra, Richar Andre Vilca-Solorzano
Published in International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 16, N.º 9
A comparative study of statistical, machine learning and deep learning approaches for frost prediction in the Peruvian Altiplano, aimed at early warning systems that protect agricultural production in the Puno region.
View publication ↗- 2026Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer DatasetAccepted · in press
- 2026Physics-Informed Ensemble Learning for Exoplanet Transit Detection: Combining Box Least Squares, Attention-Based CNNs, and Gradient BoostingAccepted · in press
Team
Research professors and students at FINESI.
The lab is looking for new hands
Admission is regulated and happens through open calls: basic preparation for early semesters, a placement test or technical interview from the fifth semester onwards. Watch our official channels.