Full paper “A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing” is accepted at ICMLA 2019, Florida, USA. The authors are Mellitus Ezeme, Akramul Azim, and Qusay Mahmoud. Congratulations Mellitus!
Related Post
Paper accepted @ “Journal of Ambient Intelligence and Humanized Computing”
Paper title: A Situation-Aware Task Model for Adaptive Real-Time Systems Authors: Nayreet Islam and Akramul Azim
Paper accepted @ IEEE Transactions on Services Computing
Title of the paper: Improving the Schedulability of Real-Time Tasks using Fog Computing
Paper accepted @ IET Journal on Cyber-Physical Systems
The paper "Extending resources for avoiding overloads of mixed-criticality tasks in cyber-physical systems" is accepted at IET Journal on Cyber-Physical Systems: Theory and Applications. The...