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» Temporal Constraint Networks
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CIMCA
2005
IEEE
16 years 7 days ago
Hybrid Neural Networks for Immunoinformatics
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy
218
Voted
AINA
2009
IEEE
15 years 9 months ago
Adaptive and Online One-Class Support Vector Machine-Based Outlier Detection Techniques for Wireless Sensor Networks
Outlier detection in wireless sensor networks is essential to ensure data quality, secure monitoring and reliable detection of interesting and critical events. A key challenge for...
Yang Zhang, Nirvana Meratnia, Paul J. M. Havinga
185
Voted
ESANN
2008
15 years 8 months ago
Neural networks for computational neuroscience
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
David Meunier, Hélène Paugam-Moisy
ICASSP
2011
IEEE
14 years 10 months ago
Optimal transmission strategies for channel capture mitigation in Cognitive Radio Networks
Abstract—Temporal Dynamic Spectrum Access (DSA) in Cognitive Radio Networks exploits time gaps between the primary users transmissions. In this work, the fundamental performance ...
Yingxi Liu, Nikhil Kundargi, Ahmed H. Tewfik
QSHINE
2005
IEEE
16 years 6 days ago
Solving The Multi-Constrained Path Selection Problem By Using Depth First Search
An extended depth-first-search (EDFS) algorithm is proposed to solve the multi-constrained path (MCP) problem in quality-of-service (QoS) routing, which is NP-Complete when the n...
Zhenjiang Li, J. J. Garcia-Luna-Aceves