A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks With Transient Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3199677
Abstract: The Internet of Things (IoT) has been continuously rising in the past few years, and its potentials are now more apparent. However, transient data generation and limited energy resources are the major bottlenecks of these… read more here.
Keywords: reinforcement learning; transient data; deep reinforcement; iot networks ... See more keywords
Accelerating Kinetic Parameter Identification by Extracting Information from Transient Data: A Hydroprocessing Study Case
Sign Up to like & getrecommendations! Published in 2020 at "Catalysts"
DOI: 10.3390/catal10040361
Abstract: Hydroprocessing reactions require several days to reach steady-state, leading to long experimentation times for collecting sufficient data for kinetic modeling purposes. The information contained in the transient data during the evolution toward the steady-state is,… read more here.
Keywords: information; transient data; kinetic parameter; accelerating kinetic ... See more keywords