Esteban Egea-Lopez

Latest

Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction
ORIENTATE: automated machine learning classifiers for oral health prediction and research
A 3D simulation framework with ray-tracing propagation for LoRaWAN communication
Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning
Deterministic Polarimetric Propagation Analysis in Road Tunnels
Optimal Joint Power and Rate Adaptation for Awareness and Congestion Control in Vehicular Networks
Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs
Opal: An open source ray-tracing propagation simulator for electromagnetic characterization
Adaptive Beamwidth Configuration for Millimeter Wave V2X Scheduling
MDPRP: A Q-Learning Approach for the Joint Control of Beaconing Rate and Transmission Power in VANETs
Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach
Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications
Distributed and Fair Beaconing Rate Adaptation for Congestion Control in Vehicular Networks
Fair Congestion Control in Vehicular Networks With Beaconing Rate Adaptation at Multiple Transmit Powers
Multiframe Maximum-Likelihood Tag Estimation for RFID Anticollision Protocols
On the Optimal Identification of Tag Sets in Time-Constrained RFID Configurations
Performance evaluation of MAC transmission power control in wireless sensor networks
A Real-Time MAC Protocol for Wireless Sensor Networks: Virtual TDMA for Sensors (VTS)