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SDN Coordination for CCN and FC Content Dissemination in VANETs
TLDR
This paper describes a possible approach to tackle this issue, based on combining three paradigms: Floating Content (FC), Software-Defined Networking (SDN), and Content-Centric Networking for Vehicular Ad-hoc Networks. Expand
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A Multi-Pronged Approach to Adaptive and Context Aware Content Dissemination in VANETs
TLDR
This paper describes a possible approach to tackle this issue, based on combining three paradigms: Content-Centric Networking (CCN), Floating Content (FC) and Software-Defined Networking. Expand
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Receiver Mobility in Vehicular Named Data Networking
TLDR
This work investigates the topic of Vehicular Named Data Networking (VNDN). Expand
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MobiVNDN: A distributed framework to support mobility in vehicular named-data networking
TLDR
We propose MobiVNDN, a distributed framework for Vehicular Named-Data networking that addresses the effects of mobility and wireless communications in VNDN. Expand
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Addressing the Effects of Low Vehicle Density in Highly Mobile Vehicular Named-Data Networks
TLDR
We address the negative effects of network partitions, caused by low vehicle densities, on the performance of Vehicular Named-Data Networking (VNDN) applications. Expand
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Source Mobility in Vehicular Named-Data Networking: An Overview
TLDR
This work investigates the problem of content source mobility in Vehicular Named Data Networking (VNDN). Expand
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Cost-sensitive LVQ for bankruptcy prediction: An empirical study
TLDR
We propose three cost-sensitive learning vector quantization (LVQ) approaches to incorporate cost matrix in classification. Expand
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Indoor patient monitoring through Wi-Fi and mobile computing
TLDR
The developments in wireless sensor networks, mobile technology and cloud computing have been pushing forward the concept of intelligent or smart cities, and each day smarter infrastructures are being developed with the aim of enhancing the well-being of citizens. Expand
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Incorporate Cost Matrix into Learning Vector Quantization Modeling: a Comparative Study of Genetic Algorithm, Simulated Annealing and Particle Swarm Optimization
TLDR
In this paper, three hybrid heuristic-based LVQ approaches which combine LVQ with genetic algorithm, simulated annealing and particle swarm optimization respectively, are proposed to minimize the total misclassified cost under the asymmetric cost preference. Expand
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