4 papers
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe +1
This study presents a novel hybrid prognostic framework for uncertainty-aware Remaining Useful Life (RUL) estimation in turbofan engines using the NASA C-MAPSS dataset. The framewo…
Robot localization aided by quantum algorithms
Unai Antero, Basilio Sierra, Jon Oñativia +2
Localization is a critical aspect of mobile robotics, enabling robots to navigate their environment efficiently and avoid obstacles. Current probabilistic localization methods, suc…
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
Maria Zampella, Urtzi Otamendi, Xabier Belaunzaran +4
Scheduling problems pose significant challenges in resource, industry, and operational management. This paper addresses the Unrelated Parallel Machine Scheduling Problem (UPMS) wit…
Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach
Urtzi Otamendi, Mikel Maiza, Igor G. Olaizola +3
Managing resources effectively in uncertain demand, variable availability, and complex governance policies is a significant challenge. This paper presents a paradigmatic framework…