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Semantic network

Known as: Semantic nets, Semantic Networks, Frame Network 
A semantic network, or frame network, is a network that represents semantic relations between concepts. This is often used as a form of knowledge… 
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Related topics

Related topics

50 relations
BabelfyBrownfield (software development)Co-occurrence networksCognition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Hierarchical cost effective leach for heterogeneous wireless sensor networks
  • R. AA. H
  • International Conference on Advanced Computing…
  • 2015
  • Corpus ID: 15492374
Wireless sensor networks are those that are used for the communication between various sensor nodes to the base station… 
Highly Cited
2013
Highly Cited
2013
A cluster based architecture for intersection collision avoidance using heterogeneous networks
With the popularity of wireless devices, the possibility of implementing vehicular safety applications has been studied for years… 
Highly Cited
2011
Highly Cited
2011
Energy efficiency improvements through heterogeneous networks in diverse traffic distribution scenarios
Energy Efficiency in cellular mobile radio networks has recently gained great interest in the research community. Besides the… 
2010
2010
On the energy efficiency of mixed-line-rate networks
We present an approach to evaluate energy efficiency of mixed-line-rate (MLR) optical networks. A comparative study of energy… 
Highly Cited
2009
Highly Cited
2009
Towards a conceptual framework for the relationship between subsidiary staffing strategy and subsidiary performance
Staffing key management positions at host country subsidiaries is a strategic challenge for most MNEs. While previous research in… 
Highly Cited
2004
Highly Cited
2004
A Priority MAC Protocol to Support Real-Time Traffic in Ad Hoc Networks
Carrier sense multiple access and its variants have been widely used in mobile ad hoc networks. However, most existing access… 
Highly Cited
2004
Highly Cited
2004
Negotiating context information in context-aware systems
Context-aware environments must allow adaptive and autonomous access to context information. This multi-agent middleware uses a… 
Highly Cited
2004
Highly Cited
2004
Environmental and Business Lobbying Alliances in Europe: Learning from Washington?
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1991
Highly Cited
1991
Pipelined Communications in Optically Interconnected Arrays
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