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Design topologies optimization in GPON networks based on population densities using k-means clustering algorithm
(IEEEMéxico, 2019)
Most studies for implementation of access networks are generally focused on countries where their areas have high population density, this optimization seeks to provide solutions in countries and cities with a similar ...
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
Wireless mesh networks planning based on parameters of quality of service
(2012-06-13)
The use of QoS parameters to evaluate the quality of service in a mesh network is essential mainly when providing multimedia services. This paper proposes an algorithm for planning wireless mesh networks in order to satisfy ...
Wireless mesh networks planning based on parameters of quality of service
(2012-06-13)
The use of QoS parameters to evaluate the quality of service in a mesh network is essential mainly when providing multimedia services. This paper proposes an algorithm for planning wireless mesh networks in order to satisfy ...
Combining social network and data envelopment analysis: A proposal for a Selection Employment Contracts Effectiveness index in healthcare network applications
(2021-09-01)
Combining social network analysis (SNA) and data envelopment analysis (DEA) techniques is a recent and relevant trend in the literature. However, although other works have integrated these techniques, none have done so in ...
Neural networks training using the constructivism paradigms
(1995-12-01)
The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural ...