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2023

Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0

Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0

A. Criado, J. Mateu Armengol, H. Petetin, D. Rodriguez-Rey, J. Benavides, M. Guevara, C. Pérez García-Pando, A. Soret, and O. Jorba
Accounting for plasma constituent mass effects in heavy fermion energy loss calculations in hot QED and QCD

Phys. Rev. D

M. Comadran, C. Manuel, and S. Carignano
Local energetic frustration conservation in protein families and superfamilies

Nature Communications

M. I. Freiberger, V. Ruiz-Serra, C. Pontes, M. Romero-Durana, P. Galaz-Davison, C. A. Ramírez-Sarmiento, C. D. Schuster, M. A. Marti, P. G. Wolynes, D. U. Ferreiro, G. R. Parra, and A. Valencia
Optimized Financial Planning: Integrating Individual and Cooperative Budgeting Models with LLM Recommendations

AI

I. de Zarzà, J. de Curtò, G. Roig, and C. T. Calafate
UWB and MB-OFDM for Lunar Rover Navigation and Communication

Mathematics

J. de Curtò, I. de Zarzà, and C. T. Calafate
Drone-Based Decentralized Truck Platooning with UWB Sensing and Control

Mathematics

I. de Zarzà, J. de Curtò, J. C. Cano, and C. T. Calafate
Cascading and Ensemble Techniques in Deep Learning

Electronics

I. de Zarzà, J. de Curtò, E. Hernández-Orallo, and C. T. Calafate
Decentralized Planning of Platoons in Road Transport using Reinforcement Learning

2023 IEEE 43rd International Conference on Distributed Computing Systems

I. de Zarzà, J. de Curtò, and C. T. Calafate
Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption

2023 IEEE 43rd International Conference on Distributed Computing Systems

I. de Zarzà, J. de Curtò, and C. T. Calafate
LLM-Informed Multi-Armed Bandit Strategies for Non-Stationary Environments

Electronics

J. de Curtò, I. de Zarzà, G. Roig, J. C. Cano, P. Manzoni, and C. T. Calafate

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