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Esteban Egea-Lopez

Evaluation of Offline Reinforcement Learning for Blood Glucose Level Control in Type 1 Diabetes
Exploiting Personalized Observation Frequency for Proportional Integral Derivative-Based Diabetes Management
In-cabin and outdoor environmental monitoring in vehicular scenarios with distributed computing
Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction
A 3D simulation framework with ray-tracing propagation for LoRaWAN communication
ORIENTATE: automated machine learning classifiers for oral health prediction and research
Urban crowdsensing by personal mobility vehicles to manage air pollution
Optimal Joint Power and Rate Adaptation for Awareness and Congestion Control in Vehicular Networks
Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs
Deterministic Polarimetric Propagation Analysis in Road Tunnels
Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach