Report Summarizes Machine Learning Study Findings from Carleton University (Blockchain-based Multi-access Edge Computing for Future Vehicular Networks: a Deep Compressed Neural Network Approach)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Machine Learning have been published. According to news reporting from Ottawa, Canada, by NewsRx journalists, research stated, “Vehicular ad hoc networks (VANETs) have become an important branch of future 6G smart wireless communications. As an emerging key technology, multi-access edge computing (MEC) provides low-latency, high-speed, and high-capacity network services for the VANETs.” Funders for this research include Natural Sciences and Engineering Research Council of Canada (NSERC), Government of Canada’s National Crime Prevention Strategy, Foundation of Beijing Municipal Commission of Education.