Feb. 28, 2024, 5:42 a.m. | Noor Ul Ain, Rodrigo Hernang\'omez, Alexandros Palaios, Martin Kasparick, S{\l}awomir Sta\'nczak

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.17689v1 Announce Type: new
Abstract: Reliable wireless communications play an important role in the automotive industry as it helps to enhance current use cases and enable new ones such as connected autonomous driving, platooning, cooperative maneuvering, teleoperated driving, and smart navigation. These and other use cases often rely on specific quality of service (QoS) levels for communication. Recently, the area of predictive quality of service (QoS) has received a great deal of attention as a key enabler to forecast communication …

abstract arxiv automotive autonomous autonomous driving cases communications cs.ai cs.lg current driving environments industry information navigation prediction prior radio role smart type use cases via wireless wireless communications

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA