How many students could continue learning during COVID-19-caused school closures? Introducing a new reachability indicator for measuring equity of remote learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Educational Development"
DOI: 10.1016/j.ijedudev.2021.102421
Abstract: Abstract This paper proposes a new reachability indicator to analyze the effectiveness of remote learning policies adopted by ministries of education in response to school closures caused by the COVID-19 pandemic. The indicator provides the… read more here.
Keywords: reachability; remote learning; new reachability; reachability indicator ... See more keywords
Performance Assessment of Reinforcement Learning Policies for Battery Lifetime Extension in Mobile Multi-RAT LPWAN Scenarios
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3197834
Abstract: Considering the dynamically changing nature of the radio propagation environment, the envisioned battery lifetime of the end device (ED) for massive machine-type communication (mMTC) stands for a critical challenge. As the selected radio technology bounds… read more here.
Keywords: reinforcement learning; lifetime extension; battery; battery lifetime ... See more keywords
Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Nuclear Science"
DOI: 10.1109/tns.2024.3387087
Abstract: Autonomous robots and their applications are becoming popular in several different fields, including tasks where robots closely interact with humans. Therefore, the reliability of computation must be paramount. In this work, we measure the reliability… read more here.
Keywords: sensitivity deep; learning policies; reinforcement learning; deep reinforcement ... See more keywords