Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical data
As a highly contagious respiratory disease, COVID-19 has yielded high mortality rates since
its emergence in December 2019. As the number of COVID-19 cases soars in epicenters …
its emergence in December 2019. As the number of COVID-19 cases soars in epicenters …
Learning future reference patterns for efficient cache replacement decisions
H Choi, S Park - IEEE Access, 2022 - ieeexplore.ieee.org
This study proposes a cache replacement policy technique to increase the cache hit rate.
This policy can improve the efficiency of cache management and performance. Heuristic …
This policy can improve the efficiency of cache management and performance. Heuristic …
Pruning deep reinforcement learning for dual user experience and storage lifetime improvement on mobile devices
Background segment cleaning in log-structured file system has a significant impact on
mobile devices. A low triggering frequency of the cleaning activity cannot reclaim enough …
mobile devices. A low triggering frequency of the cleaning activity cannot reclaim enough …
File Access Patterns of Distributed Deep Learning Applications
Abstract Nowadays, Deep Learning (DL) applications have become a necessary solution for
analyzing and making predictions with big data in several areas. However, DL applications …
analyzing and making predictions with big data in several areas. However, DL applications …
Survival Analysis and Its Application of Discharge Time Likelihood Prediction Using Clinical Data on COVID-19 Patients-Machine-Learning Approaches
S Muruganandham, A Venmani - … on Recent Trends in Computing: ICRTC …, 2023 - Springer
COVID-19 has significant fatality rate since its appearance in December 2019 as a
respiratory ailment that is extremely contagious. As the number of cases in reduction zones …
respiratory ailment that is extremely contagious. As the number of cases in reduction zones …
File Access Patterns of Distributed Deep Learning Applications
D Rexachs, E Luque - Cloud Computing, Big Data & Emerging …, 2022 - books.google.com
Nowadays, Deep Learning (DL) applications have become a necessary solution for
analyzing and making predictions with big data in several areas. However, DL applications …
analyzing and making predictions with big data in several areas. However, DL applications …