Browsing Vitenskapelige publikasjoner fra Institutt for teknologi by Journals "Computer Communications"
Now showing items 1-4 of 4
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Intelligent deep fusion network for urban traffic flow anomaly identification
(Peer reviewed; Journal article, 2022)This paper presents a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with an efficient decomposition strategy is ... -
Interpretable intrusion detection for next generation of Internet of Things
(Peer reviewed; Journal article, 2023)This paper presents a new framework for intrusion detection in the next-generation Internet of Things. MinMax normalization strategy is used to collect and preprocess data. The Marine Predator algorithm is then used to ... -
Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings
(Peer reviewed; Journal article, 2021)This paper develops a new framework called MASAD (Multi-Agents System for Anomaly Detection), a hybrid combination of reinforcement learning, and a multi-agents system to identify abnormal behaviors of microservices in ... -
A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments
(Peer reviewed; Journal article, 2022)Abstract The integration of 5G and Beyond 5G (B5G)/6G in Machine-to-Machine (M2M) communications, is making Industry 4.0 smarter. However, the goal of having a sustainable self-monitored industry has not been reached yet. ...