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This research looks at existing platforms and their shortcomings as well as proposes a messaging based modular gateway platform that enables clustering of gateways and the abstraction of peripheral communication protocol details.
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We propose a message matching-based detection (MMBD) method where a smart mobile trusted module (MTM) is introduced to monitor the forwarding sequence of messages buffered in the node to prevent the greedy behavior.
In this study, we propose a message based facial expression recognition system using geometrical features.
For this relaying scheme, we also propose a message-passing approach with low overhead.
In this paper, we have proposed a message aggregation scheme, called LOA-CAST, for non-urgent broadcasts in VANETs.
For the distributed zero-forcing relaying, we further propose a message passing approach, with which the proposed zero-forcing relaying achieves significant throughput gain with little attendant overhead.
Hui et al. [24, 25] propose a message dissemination mechanism through social community, but the mechanism requires that the virus is locally detected.
Thus, in the paper, we propose a Message-Tree Adaptive procedure (MTA) to dynamically adapt the object tracking tree to improve the performance of the object tracking tree when the predefined mobility profiles do not match.
This paper proposed a Message-Tree Adaptive (MTA) procedure to improve the object tracking tree structure when the predefined mobility profiles do not match the actual object movement behaviors.
This paper proposes a design of message oriented modeling and analysis tool (MOMAT) for naval combat systems (NCS).
This paper proposes a reinforcement learning based message transfer model for transferring news report messages through a selected path in a trusted provenance network with the objective of maximizing the reward values based on trust or importance based and network congestion or utility based cost measures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com