Hector M. Lugo-Cordero

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Particle Swarm Optimization (PSO) is a promising evolutionary algorithm, which has been used in a wide range of applications, due to its simple implementation, fast convergence, parallel behavior, and versatility in working with continuous and discrete domains. In this paper, we consider its application to the load balancing problem, in green smart homes.(More)
Wireless networks provide feasible solutions for a wide range of applications. Among the applications users may find environment monitoring, Internet access provision, and cellular communications. However, wireless networks have a common problem, independently of the technology used: deploying nodes in such a way, where the resources may be at optimum(More)
This paper deals with a multimodal approach to identifying species in a Versatile Service-Oriented Wireless Mesh Sensor Network. This type of network is distinguished by the presence of heterogeneous networks, which may posses low storage capabilities. Hence, an optimal multimodal classifier is introduced, which employs audio and image features to enhance(More)
Service-Oriented Architecture (SOA) has been recently proposed, to optimize the locality of services. Within SOA, the main goal is to provide optimal service experience, rather than connection between two end points. Traditional SOA however, relies on XML message exchange, which makes it not suitable for nodes with no web processing capabilities. This paper(More)
All attacks in a computer network begin with an intruder's action of affecting the services provided to legitimate users. Hence, intrusion detection is vital for preserving integrity, confidentiality, and availability in a computer network. Intrusion detection faces many challenges, such as the need for large amount of data to discriminate between intruders(More)
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