5 papers
Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado +4
Predicting heat-related physiological events at the population level is challenging due to the complex interactions among climatic, demographic, and socioeconomic factors, as well…
Hydration Monitoring Using Urinary Biomarkers: A Hybrid Classical Quantum Predictive Modeling Framework
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado +7
Hydration status is a key physiological indicator associated with cellular homeostasis, renal function, and overall health. Recent advances in smart sensing environments enable pas…
Graph RAG as Human Choice Model: Building a Data-Driven Mobility Agent with Preference Chain
Kai Hu, Parfait Atchade-Adelomou, Carlo Adornetto +5
Understanding human behavior in urban environments is a crucial field within city sciences. However, collecting accurate behavioral data, particularly in newly developed areas, pos…
QMProt: A Comprehensive Dataset of Quantum Properties for Proteins
Laia Coronas Sala, Parfait Atchade-Adelemou
We introduce Quantum Mechanics for Proteins (QMProt), a dataset developed to support quantum computing applications in protein research. QMProt contains precise quantum-mechanical…
Propagational Proxy Voting
Yasushi Sakai, Parfait Atchade-Adelomou, Ryan Jiang +3
This paper proposes a voting process in which voters allocate fractional votes to their expected utility in different domains: over proposals, other participants, and sets containi…