A Deep Learning Approach for the Intersection Congestion Prediction Problem
MC Melhem, H Harmanani - International Conference on Information …, 2023 - Springer
Traffic prediction at intersections is an important problem as it serves an essential role in
minimizing wait time in large cities while reducing emissions. The problem is challenging …
minimizing wait time in large cities while reducing emissions. The problem is challenging …
Efficiency with Federated Multi-Agent Deep Reinforcement Learning
G Anitha, A Jegatheesan - Handbook on Federated Learning …, 2023 - books.google.com
The development of the Internet of Things (IoT) has led to a rise in the adoption of V2X
connections, allowing for more effective communication and processing. Agents in vehicles …
connections, allowing for more effective communication and processing. Agents in vehicles …
Uso de Inteligencia Artificial para solucionar problemas de Network Embedding en redes móviles con virtualización
JL Medina Samamé - 2023 - repositorio.unican.es
En el contexto de las redes celulares de quinta generacion uno de los principales cambios
a nivel de arquitectura es la capacidad de virtualizar los elementos de acceso. En este …
a nivel de arquitectura es la capacidad de virtualizar los elementos de acceso. En este …